Now more than ever, we are entering a period of rapid change catalyzed by the power of data. On December 21, 2018, the Centers for Medicare and Medicaid Services (CMS) issued a final rule for the Medicare Shared Savings Program (MSSP), strengthening the financial incentives for ACOs to drive improved outcomes. The health systems that embrace data to achieve financial success will grow while the rest will struggle to compete. View this webinar for a discussion on how to prepare.
The US healthcare system didn’t develop overnight, rather, it is the culmination of a series of revolutions within wealthy parts of the world. In this webinar, we explore the high points of history that have led us to our current challenges. While care has steadily improved over time, the cost of that care has risen at a much more dramatic rate. CMS created the MSSP to help mitigate the growth of these costs while providing better care for individuals and populations. On a larger scale, the program serves to shift the healthcare industry towards fee-for-value.
Despite general frustration related to legislative involvement, history has proven that regulatory changes precede attitudinal changes and the MSSP (combined with accurate, timely data) may be just the piece of legislation to help make value-based care a reality. By viewing this webinar you will learn:
- How the US healthcare industry reached its current state.
- Why financial imperatives drive cultural change in our economic model.
- Ways that the MSSP can help your organization achieve financial success.
- Ideas for how to utilize data to develop better healthcare delivery systems.
Dr. Will Caldwell is a strong proponent of the use of data analytics to promote good health and save lives. His area of expertise rests in technology-enabled health care delivery models and value-based care platforms. We hope that you will view this webinar and learn from his 17-years of work as a data-informed clinician.
The Foundations of Success in Population Health ManagementHealth Catalyst
From hospital systems to large employers, organizations are increasingly taking on financial risk for the health of populations. Drivers of this trend include the update to the MSSP model, the recent CMS Primary Cares Initiative announcement, the increasing prevalence of the Medicare Advantage model, innovative partnerships in the self-insured employer space, and the proliferation of Medicaid ACOs. Yet while market pressures push organizations toward population risk, they don't necessarily help them succeed: most organizations are struggling to attain or sustain the dual imperatives of high-quality care and cost containment. A primary reason? Short-sighted and tactical approaches that don't provide the flexible data infrastructure and tools to adapt to emerging trends in population health—or to support short-term contractual requirements while building toward long-term success.
View this launch webinar to learn about Health Catalyst’s Population Health Foundations solution, a data and analytics-first starter set aimed at optimizing performance in value-based risk arrangements and providing the data ecosystem that will flex and adapt to complex needs of risk-bearing organizations. Solution services ensure that the strategic value of data is maximized to improve performance in risk contracts—and provide side-by-side subject matter expert partnership for establishing short- and long-term goals for population health management (PHM).
Built on Health Catalyst’s foundational technology and supported by the nationwide experience and perspective of its experts, the Population Health Foundations solution helps organizations leverage multiple data sources to understand their patient populations and create meaningful views of financial and clinical quality performance. As a starter set that organizations can build on based on their needs, the solution is designed to compensate for the known limitations of “black box” population health applications that fail to reveal the “why” of analytic insights and exacerbate the challenges of transforming quality, cost, and care. The Population Health Foundations solution delivers the essential analytic tools needed for success under value-based risk arrangements.
In these slides you can expect to:
- Review recent changes to the field of value-based care, and reactions and insights from the market
- Discover how the Population Health Foundations solution can act as a comprehensive, data-first analytics solution to support your population stratification and monitoring needs
- Understand how this solution functions as a foundational starter set for value-based care success, enabling clients to leverage all their data and other relevant population health tools
Population Stratification Made Easy, Quick, and Transparent for AnyoneHealth Catalyst
One of the fundamental tasks when creating a population health initiative is to identify the right patients for the right interventions. The challenge with identifying patients is two-fold—there isn’t a one-size-fits all stratification method; and, current stratification tools prove to be inflexible, “black box” solutions that require time-consuming, technical expertise to customize the algorithms. Many commonly used stratification methods also fail to take advantage of the whole-patient picture, using the limited data sources that are available.
To address these challenges, Health Catalyst developed the Population Builder™️: Stratification Module; a fast, adaptable tool that allows for rapid and transparent stratification of patient groups based on predefined, yet easy to customize, populations and then provides the architecture to integrate the stratified populations into the population health workflow.
Based on the existing Population Builder tool, the Stratification Module consists of several population health building blocks that users can mix and match to create purpose-driven, transparent, and customizable populations to fit their needs. The building blocks save users the time and effort of creating the raw materials required for effective stratification by providing industry standard, evidence-based definitions for over 6,000 value sets, 21 predefined chronic condition registries, ED utilization (combined claims and clinical data), transition of care, and predictive risk models all in one tool. In addition, the power of AI is made accessible and easy with Health Catalyst-developed risk algorithms that are targeted to specific interventions.
View the Population Builder: Stratification Module webinar to learn more about its functionality, understand the customization process, observe a unique framework that integrates claims and clinical data, and make it easy to consume customized data sources, so that your algorithms include all of your available patient data.
In this webinar you can expect to:
- Learn how Population Builder: Stratification Module is used to combine data from multiple data sources—including claims and clinical data—to stratify based on a “whole patient picture.”
- Get a glimpse of the predefined stratification content that is packaged within the Population Builder: Stratification Module.
- Understand how the Population Builder: Stratification Module allows non-technical experts to quickly and transparently create sophisticated stratification algorithms.
- See how “published” patient lists, or registries, are created within Population Builder: Stratification Module and accessible by the DOS ecosystem.
These slides are the property of Chilmark Research and have been published with their permission.
-
Population Health Management (PHM) has been in the health IT lexicon for nearly a decade, yet the industry still lacks a clear definition of how provider organizations extract value from their PHM initiatives. Part of the problem is that PHM is often defined as a technology solution when it, in fact, is not. Rather, PHM is a technology-enabled strategy that includes a multitude of capabilities (e.g., interoperability, analytics, care management, engagement, etc.) and services. Secondly, an organization adopts a PHM strategy to support its value-based care (VBC) contracts, but VBC remains an elusive target that is highly dependent on local and regional conditions.
In this presentation, John Moore briefly walks through the evolution of the PHM market and its increasingly integral tie to VBC and future technology and market trajectories. Highlighted topics include EHR versus best-of-breed solutions, FHIR and open APIs, and the increasing role of IT-enabled services.
Learning Objectives:
- Reframing PHM: Defining PHM as a strategy, not a product.
- Core elements of a technology-enabled PHM strategy.
- Moving organizational economics from fee-for-service to VBC and the role of Medicare Advantage.
- The impact of new interoperability efforts and trends to enable effective PHM strategies.
Why Healthcare Costing Matters to Enable Strategy and Financial PerformanceHealth Catalyst
According to Moody’s Investment Service Analysis, not-for-profit hospital margins are at an all-time low of 1.6% while the American Hospital Association has found that 30% of all hospitals have negative margins. Financial pressures are continuing to increase in an environment of rising costs, lower payments, an aging population, higher patient responsibility and changing consumer demands. Now more than ever healthcare providers need to have an accurate picture of their costing information to enable precise, strategic decisions that will improve financial performance.
Activity-based costing has the power to do just that. In this webinar Steve Vance, SVP, Professional Services, Health Catalyst explores different costing methodologies and discusses why activity-based costing is the preferable method to manage margins because it directly ties services to their costs. Many healthcare organizations base their costs on generalized drivers such as relative value units (RVUs) through their chargemaster rather than on specific activities associated with their services, leading to inaccurate assumptions and poor decisions.
View this webinar to learn:
- Why activity-based costing should be your core tool for improving financial performance.
- The differences and implications between costing methodologies.
- How to leverage data from an Electronic Data Warehouse (EDW) and automate processes while improving accuracy.
- Ways that you can make strategic decisions using clinical and operational data when tied to costing data.
- Activity-based costing use cases such as contract negotiations, pricing decisions, population health management (PHM), and process improvement efforts
We hope that you will view the webinar and learn from the depth and breadth of Steve’s extensive financial experience.
Platforms and Partnerships: The Building Blocks for Digital InnovationHealth Catalyst
Virtually all service-oriented industries have experienced massive disruption and transformation, resulting from the confluence of digital, mobile, cloud, data, and consumerization. And then there’s healthcare…
In this webinar Ryan Smith, executive advisor at Health Catalyst, shares practical insights gained from his combined 25 years of IT and digital leadership roles at Banner Health and Intermountain Healthcare. He explores why our industry is struggling to provide the tools and self-service experiences that patients and consumers have come to expect in every other aspect of their lives. To attract and retain patients and members, healthcare organizations need to “shift gears” and go on the digital offensive to sustain brand loyalty; however, decades of siloed, monolithic approaches to implementing technology and managing data continue to hamper industry progress.
During this session, Ryan shares his approach for building business support to enable digital transformation.
By viewing this webinar, you will learn key digitization concepts:
- How to conceptualize a digital enablement framework.
- Ten strategic guiding principles for technology leaders.
- Why it’s vital to create business-driven technology governance.
- Why building strategic vendor partnerships really matters.
- How to apply case studies to bolster digital investments.
Why Accurate Financial Data is Critical for Successful Value TransformationHealth Catalyst
Approximately 50 percent of CMS payments are now tied to a value component. The CMS Innovation Center has allocated nearly $5.4 billion to implement 37 value-based payment models, with 55 percent of those funds marked for development and implementation of additional value-based models. The shift towards value and consumerism is pushing providers to adopt a novel financial mindset and strategy. The key component? Accurate financial data.
In this webinar Steve Vance, senior vice president and executive advisor at Health Catalyst, explores why accurate financial data, coupled with specific tools and strategies, is critical for successful transformation.
View this webinar for key insights into thriving in a value-based environment:
- Why it’s time to embrace new payment methodologies.
- What role financial and clinical data play in value- and risk-based contracts.
- Various organizational and operational strategies for successful financial transformation.
- How Health Catalyst solutions support an innovative data-driven financial process.
Healthcare Analytics: Right-Brain Advice in a Left-Brain WorldHealth Catalyst
U.S. healthcare is badly missing the soft, human side of healthcare analytics, especially as it impacts clinicians. How do we fix that? This webinar explores those ideas.
You won’t hear Dale talk about SQL, inner joins, outer joins, R, Python, logistic regression, random forest, or convolutional neural networks but instead, in this webinar he talks about the principles and philosophy of analytics.
For the most part, we’ve figured out the technology of analytics. That is all left-brain thinking—analytical, logical and methodical in nature—and it is literally getting easier every day with new data technology. But, in healthcare, we’re missing the right-brain thinking—creative and artistic in nature—that has almost nothing to do with technology but has everything to do with the human side of pursuing “data driven healthcare.”
Right-brain thinking is required for the oddities and shortcomings of healthcare data, and how to manage those shortcomings in the context of delivering data to the humans who we hope will consume it. The right-brain relates to the personality characteristics of the people who are leading your analytics strategy. It relates to the leadership culture of the organization and where that culture resides on a scale of transparency, internally and externally. The right-brain relates to behavioral economics, evolutionary psychology, human decision making theories, and the fundamental factors that motivate or demotivate human behavior. The right-brain relates to concepts like experimental design and PICO—patients, interventions, comparisons, and outcomes—that, if followed, can make your analytics more truthful and believable. It has to do with the way we negotiate and structure performance-based contracts that are loaded with quality metrics that either measure things that can’t be measured accurately or may measure the wrong thing, altogether.
You see, right-brained thinking in this left-brain world of analytics relates to a bunch of things, but mostly it relates to the Golden Rule of Data. Do unto others with data as you would have them do unto you.
What the ONC's Proposed Rule on Information Blocking Means for Your WorkHealth Catalyst
Information blocking has been a hot-button issue for years as it has impeded innovation and patient healthcare options for too long. The 21st Century Cures Act (Cures Act) sought to eliminate these problems but information blocking persisted. However, in February 2019 the Office of the National Coordinator for Health Information Technology (ONC) announced a proposed rule with consequences to non-compliance with the Cures Act that may finally force true interoperability. As a healthcare decision maker you have a real opportunity to build an innovation strategy around these changes. To learn how, view this webinar.
True data interoperability enables innovation and better patient experience. In aggregate, both of these activities have the potential to accelerate the shift away from fee-for-service and towards fee-for-value healthcare. Dan Orenstein has spent much of his career providing legal counsel to healthcare organizations on regulatory and risk management issues as well as how to implement growth initiatives that comply with healthcare laws and regulations. That experience has made him an expert in applying policy to healthcare strategy. He has studied the proposed rule and in this webinar he will provide a summary of the existing legislation, implications of non-compliance with the proposed rule as well as insight into putting it into practice.
View this webinar and learn:
- To identify information blocking practices
- Seven exceptions to the information blocking provision and how they may apply to your work
- Summary of the public comments about the proposed rule and the overall perception of it in the industry
- The potential impact to your healthcare organization
The Foundations of Success in Population Health ManagementHealth Catalyst
From hospital systems to large employers, organizations are increasingly taking on financial risk for the health of populations. Drivers of this trend include the update to the MSSP model, the recent CMS Primary Cares Initiative announcement, the increasing prevalence of the Medicare Advantage model, innovative partnerships in the self-insured employer space, and the proliferation of Medicaid ACOs. Yet while market pressures push organizations toward population risk, they don't necessarily help them succeed: most organizations are struggling to attain or sustain the dual imperatives of high-quality care and cost containment. A primary reason? Short-sighted and tactical approaches that don't provide the flexible data infrastructure and tools to adapt to emerging trends in population health—or to support short-term contractual requirements while building toward long-term success.
View this launch webinar to learn about Health Catalyst’s Population Health Foundations solution, a data and analytics-first starter set aimed at optimizing performance in value-based risk arrangements and providing the data ecosystem that will flex and adapt to complex needs of risk-bearing organizations. Solution services ensure that the strategic value of data is maximized to improve performance in risk contracts—and provide side-by-side subject matter expert partnership for establishing short- and long-term goals for population health management (PHM).
Built on Health Catalyst’s foundational technology and supported by the nationwide experience and perspective of its experts, the Population Health Foundations solution helps organizations leverage multiple data sources to understand their patient populations and create meaningful views of financial and clinical quality performance. As a starter set that organizations can build on based on their needs, the solution is designed to compensate for the known limitations of “black box” population health applications that fail to reveal the “why” of analytic insights and exacerbate the challenges of transforming quality, cost, and care. The Population Health Foundations solution delivers the essential analytic tools needed for success under value-based risk arrangements.
In these slides you can expect to:
- Review recent changes to the field of value-based care, and reactions and insights from the market
- Discover how the Population Health Foundations solution can act as a comprehensive, data-first analytics solution to support your population stratification and monitoring needs
- Understand how this solution functions as a foundational starter set for value-based care success, enabling clients to leverage all their data and other relevant population health tools
Population Stratification Made Easy, Quick, and Transparent for AnyoneHealth Catalyst
One of the fundamental tasks when creating a population health initiative is to identify the right patients for the right interventions. The challenge with identifying patients is two-fold—there isn’t a one-size-fits all stratification method; and, current stratification tools prove to be inflexible, “black box” solutions that require time-consuming, technical expertise to customize the algorithms. Many commonly used stratification methods also fail to take advantage of the whole-patient picture, using the limited data sources that are available.
To address these challenges, Health Catalyst developed the Population Builder™️: Stratification Module; a fast, adaptable tool that allows for rapid and transparent stratification of patient groups based on predefined, yet easy to customize, populations and then provides the architecture to integrate the stratified populations into the population health workflow.
Based on the existing Population Builder tool, the Stratification Module consists of several population health building blocks that users can mix and match to create purpose-driven, transparent, and customizable populations to fit their needs. The building blocks save users the time and effort of creating the raw materials required for effective stratification by providing industry standard, evidence-based definitions for over 6,000 value sets, 21 predefined chronic condition registries, ED utilization (combined claims and clinical data), transition of care, and predictive risk models all in one tool. In addition, the power of AI is made accessible and easy with Health Catalyst-developed risk algorithms that are targeted to specific interventions.
View the Population Builder: Stratification Module webinar to learn more about its functionality, understand the customization process, observe a unique framework that integrates claims and clinical data, and make it easy to consume customized data sources, so that your algorithms include all of your available patient data.
In this webinar you can expect to:
- Learn how Population Builder: Stratification Module is used to combine data from multiple data sources—including claims and clinical data—to stratify based on a “whole patient picture.”
- Get a glimpse of the predefined stratification content that is packaged within the Population Builder: Stratification Module.
- Understand how the Population Builder: Stratification Module allows non-technical experts to quickly and transparently create sophisticated stratification algorithms.
- See how “published” patient lists, or registries, are created within Population Builder: Stratification Module and accessible by the DOS ecosystem.
These slides are the property of Chilmark Research and have been published with their permission.
-
Population Health Management (PHM) has been in the health IT lexicon for nearly a decade, yet the industry still lacks a clear definition of how provider organizations extract value from their PHM initiatives. Part of the problem is that PHM is often defined as a technology solution when it, in fact, is not. Rather, PHM is a technology-enabled strategy that includes a multitude of capabilities (e.g., interoperability, analytics, care management, engagement, etc.) and services. Secondly, an organization adopts a PHM strategy to support its value-based care (VBC) contracts, but VBC remains an elusive target that is highly dependent on local and regional conditions.
In this presentation, John Moore briefly walks through the evolution of the PHM market and its increasingly integral tie to VBC and future technology and market trajectories. Highlighted topics include EHR versus best-of-breed solutions, FHIR and open APIs, and the increasing role of IT-enabled services.
Learning Objectives:
- Reframing PHM: Defining PHM as a strategy, not a product.
- Core elements of a technology-enabled PHM strategy.
- Moving organizational economics from fee-for-service to VBC and the role of Medicare Advantage.
- The impact of new interoperability efforts and trends to enable effective PHM strategies.
Why Healthcare Costing Matters to Enable Strategy and Financial PerformanceHealth Catalyst
According to Moody’s Investment Service Analysis, not-for-profit hospital margins are at an all-time low of 1.6% while the American Hospital Association has found that 30% of all hospitals have negative margins. Financial pressures are continuing to increase in an environment of rising costs, lower payments, an aging population, higher patient responsibility and changing consumer demands. Now more than ever healthcare providers need to have an accurate picture of their costing information to enable precise, strategic decisions that will improve financial performance.
Activity-based costing has the power to do just that. In this webinar Steve Vance, SVP, Professional Services, Health Catalyst explores different costing methodologies and discusses why activity-based costing is the preferable method to manage margins because it directly ties services to their costs. Many healthcare organizations base their costs on generalized drivers such as relative value units (RVUs) through their chargemaster rather than on specific activities associated with their services, leading to inaccurate assumptions and poor decisions.
View this webinar to learn:
- Why activity-based costing should be your core tool for improving financial performance.
- The differences and implications between costing methodologies.
- How to leverage data from an Electronic Data Warehouse (EDW) and automate processes while improving accuracy.
- Ways that you can make strategic decisions using clinical and operational data when tied to costing data.
- Activity-based costing use cases such as contract negotiations, pricing decisions, population health management (PHM), and process improvement efforts
We hope that you will view the webinar and learn from the depth and breadth of Steve’s extensive financial experience.
Platforms and Partnerships: The Building Blocks for Digital InnovationHealth Catalyst
Virtually all service-oriented industries have experienced massive disruption and transformation, resulting from the confluence of digital, mobile, cloud, data, and consumerization. And then there’s healthcare…
In this webinar Ryan Smith, executive advisor at Health Catalyst, shares practical insights gained from his combined 25 years of IT and digital leadership roles at Banner Health and Intermountain Healthcare. He explores why our industry is struggling to provide the tools and self-service experiences that patients and consumers have come to expect in every other aspect of their lives. To attract and retain patients and members, healthcare organizations need to “shift gears” and go on the digital offensive to sustain brand loyalty; however, decades of siloed, monolithic approaches to implementing technology and managing data continue to hamper industry progress.
During this session, Ryan shares his approach for building business support to enable digital transformation.
By viewing this webinar, you will learn key digitization concepts:
- How to conceptualize a digital enablement framework.
- Ten strategic guiding principles for technology leaders.
- Why it’s vital to create business-driven technology governance.
- Why building strategic vendor partnerships really matters.
- How to apply case studies to bolster digital investments.
Why Accurate Financial Data is Critical for Successful Value TransformationHealth Catalyst
Approximately 50 percent of CMS payments are now tied to a value component. The CMS Innovation Center has allocated nearly $5.4 billion to implement 37 value-based payment models, with 55 percent of those funds marked for development and implementation of additional value-based models. The shift towards value and consumerism is pushing providers to adopt a novel financial mindset and strategy. The key component? Accurate financial data.
In this webinar Steve Vance, senior vice president and executive advisor at Health Catalyst, explores why accurate financial data, coupled with specific tools and strategies, is critical for successful transformation.
View this webinar for key insights into thriving in a value-based environment:
- Why it’s time to embrace new payment methodologies.
- What role financial and clinical data play in value- and risk-based contracts.
- Various organizational and operational strategies for successful financial transformation.
- How Health Catalyst solutions support an innovative data-driven financial process.
Healthcare Analytics: Right-Brain Advice in a Left-Brain WorldHealth Catalyst
U.S. healthcare is badly missing the soft, human side of healthcare analytics, especially as it impacts clinicians. How do we fix that? This webinar explores those ideas.
You won’t hear Dale talk about SQL, inner joins, outer joins, R, Python, logistic regression, random forest, or convolutional neural networks but instead, in this webinar he talks about the principles and philosophy of analytics.
For the most part, we’ve figured out the technology of analytics. That is all left-brain thinking—analytical, logical and methodical in nature—and it is literally getting easier every day with new data technology. But, in healthcare, we’re missing the right-brain thinking—creative and artistic in nature—that has almost nothing to do with technology but has everything to do with the human side of pursuing “data driven healthcare.”
Right-brain thinking is required for the oddities and shortcomings of healthcare data, and how to manage those shortcomings in the context of delivering data to the humans who we hope will consume it. The right-brain relates to the personality characteristics of the people who are leading your analytics strategy. It relates to the leadership culture of the organization and where that culture resides on a scale of transparency, internally and externally. The right-brain relates to behavioral economics, evolutionary psychology, human decision making theories, and the fundamental factors that motivate or demotivate human behavior. The right-brain relates to concepts like experimental design and PICO—patients, interventions, comparisons, and outcomes—that, if followed, can make your analytics more truthful and believable. It has to do with the way we negotiate and structure performance-based contracts that are loaded with quality metrics that either measure things that can’t be measured accurately or may measure the wrong thing, altogether.
You see, right-brained thinking in this left-brain world of analytics relates to a bunch of things, but mostly it relates to the Golden Rule of Data. Do unto others with data as you would have them do unto you.
What the ONC's Proposed Rule on Information Blocking Means for Your WorkHealth Catalyst
Information blocking has been a hot-button issue for years as it has impeded innovation and patient healthcare options for too long. The 21st Century Cures Act (Cures Act) sought to eliminate these problems but information blocking persisted. However, in February 2019 the Office of the National Coordinator for Health Information Technology (ONC) announced a proposed rule with consequences to non-compliance with the Cures Act that may finally force true interoperability. As a healthcare decision maker you have a real opportunity to build an innovation strategy around these changes. To learn how, view this webinar.
True data interoperability enables innovation and better patient experience. In aggregate, both of these activities have the potential to accelerate the shift away from fee-for-service and towards fee-for-value healthcare. Dan Orenstein has spent much of his career providing legal counsel to healthcare organizations on regulatory and risk management issues as well as how to implement growth initiatives that comply with healthcare laws and regulations. That experience has made him an expert in applying policy to healthcare strategy. He has studied the proposed rule and in this webinar he will provide a summary of the existing legislation, implications of non-compliance with the proposed rule as well as insight into putting it into practice.
View this webinar and learn:
- To identify information blocking practices
- Seven exceptions to the information blocking provision and how they may apply to your work
- Summary of the public comments about the proposed rule and the overall perception of it in the industry
- The potential impact to your healthcare organization
A Reference Architecture for Digital Health: The Health Catalyst Data Operati...Health Catalyst
There are essentially four strategic options to address the enterprise data platform requirements of today’s healthcare systems: (1) build your own, (2) buy from EHR vendors, (3) look to a Silicon Valley high-tech startup, and (4) partner with Health Catalyst or a handful of similar companies.
In this webinar, Health Catalyst’s CTO, Dale Sanders, comments on all four approaches, hoping to help you to assess your organization’s strategy against the options and vendors in each category.
It’s been exactly three years since Health Catalyst embarked on a major investment in its next-generation technology, the Data Operating System (DOS™) and its applications. This webinar is an update on the progress, less about marketing the technology, but rather offering DOS as a reference architecture that can support analytics, AI, text processing, data-first application development, and interoperability, as an all-in-one agile cost-savings architecture.
In addition to the successes, Dale comments on the challenges that Health Catalyst has faced under a very ambitious DOS development plan. In its current state, DOS has made some significant improvements to overcome early mistakes, and is now a very solid enterprise data platform. In the interests of industry-wide learning, Sanders will talk transparently about those mistakes and how those learnings are being applied to the DOS platform, positioning it to evolve gracefully over the next 25 years.
View the webinar to learn how the DOS reference architecture:
- Helps manage the 2,000+ compulsory measures in US healthcare
- Enables applications as varied as a real-time patient safety surveillance system, and an activity-based costing system in one platform
- Can ingest data of any type or velocity from over 300 healthcare source systems and growing
- Bundles tools, applications, and analytics that would cost 3-6x more to build on your own
- Compares to EHR vendors as an option to serve as an enterprise data and analytics platform
- Is a performant, sustainable, and maintainable platform for deploying AI models in the natural flow of the healthcare data pipeline
- Provides curated data content and models while still allowing for the agility of a late binding design option
- Functions as a reference architecture that all healthcare organizations and vendors will ultimately have to build in their pursuit of digital health
EHR Integration: Achieving this Digital Health ImperativeHealth Catalyst
As the digital trajectory of healthcare rises, health systems have an array of new resources available to make more effective and timely care decisions. However, to use these data analytics, machine learning, predictive analytics, and wellness applications to gain real-time, data-driven insight at the point of care, health systems must fully integrate the tools with their EHRs. Integration brings technical and administrative challenges, requiring organizations to coordinate around standards, administrative processes, regulatory principles, and functional integration, as well as develop compelling integration use cases that drive demand. When realized, full EHR integration will allow clinicians to leverage data from across the continuum of care (from health plan to patient-generated data) to improve patient diagnosis and treatment.
The Top Seven Healthcare Outcome Measures and Three Measurement EssentialsHealth Catalyst
Healthcare outcomes improvement can’t happen without effective outcomes measurement. Given the healthcare industry’s administrative and regulatory complexities, and the fact that health systems measure and report on hundreds of outcomes annually, this article adds much-needed clarity by reviewing the top seven outcome measures, including definitions, important nuances, and real-life examples. The top seven categories of outcome measures are:
Mortality
Readmissions
Safety of care
Effectiveness of care
Patient experience
Timeliness of care
Efficient use of medical imaging
CMS used these seven outcome measures to calculate overall hospital quality and arrive at its 2018 hospital star ratings. This article also reiterates the importance of outcomes measurement, clarifies how outcome measures are defined and prioritized, and recommends three essentials for successful outcomes measurement.
Using Advanced Analytics for Value-based Healthcare DeliveryMichael Joseph
Promoting Value-based Healthcare Delivery
The fundamental principles of the Affordable Care Act recognize that the volume-based, fee-for-service payment model is unsustainable and that a value-based healthcare delivery system is essential. With the emergence of Accountable Care Organizations (ACOs), providers are incentivized to implement payment reforms and participate in shared savings programs that seek to balance quality of care, access to care and cost of care.
Our healthcare analytics payment model uses predictive analytics to assist ACOs in patient attribution, budget development, bench-marking and performance monitoring to maximize incentives through shared savings and quality improvements.
Five Action Items to Improve HCC Coding Accuracy and Risk Adjustment With Ana...Health Catalyst
A hot topic in healthcare right now, especially in the medical coding world is the Hierarchical Condition Category (HCC) risk adjustment model and how accurate coding affects healthcare organizations’ reimbursement.
With almost one third of Medicare beneficiaries enrolled in Medicare Advantage plans, it’s more important than ever for healthcare organizations to pay attention to this model and make sure physicians are coding diagnoses appropriately to ensure fair compensation. This article walks through basics of the risk adjustment model, why coding accuracy is so important, and five action items for interdisciplinary work groups to take. They include:
Having an accurate problem list.
Ensuring patients are seen in each calendar year.
Improving decision support and EMR optimization.
Widespread education and communication.
Tracking performance and identifying opportunities.
How Data Transforms the Hospital Command Center to Pandemic ProportionsHealth Catalyst
Hospital command center leaders have never had to run an incident response on the scale of the COVID-19 pandemic. Whereas a typical emergency event (e.g., flooding, earthquakes, multivehicle collisions, or shootings) causes rapid patient influx with an identifiable starting and stopping point, the novel coronavirus has an ongoing, inestimable impact. The extensive duration, combined with high transmission risks and a massive scope of impact, demand that health systems prepare for complex facility, equipment, and staffing needs. Their best strategy is to leverage data-driven tools to scale their existing emergency response plans for COVID-19’s unprecedented proportions.
COVID-19 Emergency Financial Relief: Gas Pedal to the Floor, No Steering Wheel?Health Catalyst
Since the early stages of the COVID-19 pandemic, Congress and the federal government have committed massive amounts of money to economic recovery across affected industries, with healthcare receiving hundreds of billions of dollars in emergency funding. Despite this push to inject capital into a shuttered economy, healthcare organizations have gotten surprisingly little in the way of direction on how they could spend these monies. Providers—a few of which are flush with cash and many struggling with a lack of working capital—now grapple with questions about how to spend sizeable sums of stimulus money legally and how to get their organizations on the road to recovery. Meanwhile, they wait for more guidance, knowing the inevitable waves of audits and enforcement are coming.
During this webinar, you will learn the following:
- How to appropriately receive and optimize COVID-19 relief funding.
- How to utilize relief funding in a compliant way.
- How to proactively prepare for audit and oversight.
- How to make data-informed decisions to prepare, prevent, recover, and plan during a global pandemic.
Four Essential Ways Control Charts Guide Healthcare ImprovementHealth Catalyst
Control charts are a critical asset to any health system seeking effective, sustainable improvement. With a simple three-line format, control charts show process change over time, including the average of the data, upper control limit, and lower control limit. This insight helps improvement teams monitor projects, understand opportunities and the impact of initiatives, and sustain improved processes.
Also known as Shewhart charts or statistical process control charts, control charts drive effective improvement by addressing three fundamental questions:
1. What is the goal of the improvement project?
2. How will the organization know that a change is an improvement?
3. What change can the organization make that will result in improvement?
A 360° view of value-based healthcare: how to position your facility for successSourceMed
The shift from volume to value-based healthcare is underway and many outpatient providers are already participating. How are you preparing for this transition?
This presentation will explore the move to value-based care, and share ways for your facility to adapt what it is doing today to thrive under collaborative service delivery models, including: revenue cycle management, data analytics, patient engagement and system interoperability.
Should healthcare be more digitized? Absolutely. But if we go about it the wrong way... or the naïve way... we will take two steps forward and three steps back.
In this 90-minute webinar, Dale Sanders, President of Technology at Health Catalyst describes the right way to go about the technical digitization of healthcare so that it increases the sense of humanity during the journey.
The topics Dale covers include:
• The human, empathetic components of healthcare’s digitization strategy
• The AI-enabled healthcare encounter in the near future
• Why the current digital approach to patient engagement will never be effective
• The dramatic near-term potential of bio-integrated sensors
• Role of the “digitician” and patient data profiles
• The technology and architecture of a modern digital platform
• The role of AI vs. the role of traditional data analysis in healthcare
• Reasons that home grown digital platforms will not scale, economically
Most of the data that’s generated in healthcare is about administrative overhead of healthcare, not about the current state of patients’ well-being. On average, healthcare collects data about patients three times per year from which providers are expected to optimize diagnoses, treatments, predict health risks and cultivate long-term care plans. Where’s the data about patients’ health from the other 362 days per year?
McKinsey ranks industries based on their Digital Quotient (DQ), which is derived from a cross product of three areas: Data Assets x Data Skills x Data Utilization. Healthcare ranks lower than all industries except mining. It’s time for healthcare to raise its digital quotient, however, it’s a delicate balance. The current “data-driven” strategy in healthcare is a train wreck, sucking the life out of clinicians’ sense of mastery, autonomy, and purpose.
Healthcare’s digital strategy has largely ignored the digitization of patients’ state of health, but that’s changing, and the change will be revolutionary. Driven by bio-integrated sensors and affordable genomics, in the next five years, many patients will possess more data and AI-driven insights about their diagnosis and treatment options than healthcare systems, turning the existing dialogue with care providers on its head. It’s going to happen. Let’s make it happen the right way.
The Epicenter Of The Pandemic: Driving Transformation At Northwell HealthHealth Catalyst
Responding to the COVID-19 pandemic materially amplified Northwell Health’s necessary speed from question to answer. At the peak of the pandemic, Northwell, one of the hardest hit healthcare systems in the United States, had to manage an evolving cohort definition for COVID-19, an additional 200 beds daily, and new healthcare professionals from across the country. Navigating this crisis required careful planning, communication, coordination, and research, which necessitated unprecedented collaboration, an extensive patient registry, access to key datasets, geocoding, and serology testing. Learn about the data-driven response Northwell Health implemented from day one of the pandemic, the successes and lessons learned, and how organizations can use technology and analytics for future infection tracking and patient care.
During this webinar, Chris Hutchins, Vice President, Chief Data and Analytics Officer, Northwell Health, offers the following:
- Share strategies to navigate COVID-19.
- Identify how to use data marts to drive self-service analytics.
- Delve into strategies to drive transformation.
- Help you understand why you should design a flexible model for a cohort definition.
- Explain how to align critical resources to enable rapid response.
Closed-Loop EHR Integration Targets Burnout, Improves WorkflowsHealth Catalyst
The widespread adoption of EHRs has significantly altered the workflows of physicians and other healthcare workers. However, while EHRs were developed to better organize patient data and improve care coordination, most require significant and sometimes duplicative documentation, often resulting in workforce burnout.
Health Catalyst’s new Closed-Loop Analytics™ service tackles the EHR workload challenge by helping healthcare providers optimize their use of analytics in existing workflows. Closed-Loop Analytics leverages the knowhow of Health Catalyst clinical workflow experts with work experience at EHR vendors such as Epic, Cerner, and Allscripts. The team works with health systems to deploy analytics solutions directly into the EHR and better leverage analytics to simplify workflows and improve outcomes.
In this webinar, you will learn how Closed-Loop Analytics can help you:
- Determine where end-users are wasting time on duplicative tasks and how to optimize the EHR build to develop efficiencies.
- Develop analytical tools and deploy them into the EHR for increased utilization and improved insights at the point of decision-making.
- See the value of expanded integration capabilities with an analytics tool embedded into the EHR, such as launching to a patient’s chart or initiating an update to a treatment team.
- Understand how interoperability and FHIR are revolutionizing workflow integration and how you can put them to work.
Lean Healthcare: 6 Methodologies for Improvement from Dr. Brent JamesHealth Catalyst
The survival of healthcare organizations depends on applying lean principles. Organizations that adopt lean principles can reduce waste while improving the quality of care. By applying stringent clinical data measurement approaches to routine care delivery, healthcare systems identify best practice protocols and incorporate those into the clinical workflow. Data from these best practices are applied through continuous-learning loop that enables teams across the organization to update and improve protocols–ultimately reducing waste, lowering costs, and improving access to care.
This executive report based on a presentation by Dr. Brent James at a regional medical center, covers the following:
1. How lean healthcare principles can help improve the quality of care.
2. The steps healthcare organizations need to take to create a continuous-learning loop.
3. How a lean approach creates financial leverage by eliminating waste and improving net operating margins and ROI.
This group paper, written as a graduate student at CMU, attempts to define and summarize the huge challenge ahead of North American healthcare providers by illuminating current and future trends of healthcare business intelligence (BI); ramifications of EMR; the pros and cons of BI and analytics; the myriad ethical and privacy issues of big data’s role (normally associated with market share and profits); and lastly provide an industry overview of BI and analytics solutions specific to healthcare.
To view the 30+ page paper for which this presentation summarizes, please contact James Young via LinkedIn: https://www.linkedin.com/in/jamesyoung007
How to Build a Healthcare Analytics Team and Solve Strategic ProblemsHealth Catalyst
Health systems have vast amounts of data, but frequently struggle to use that data to solve strategic problems in a timely fashion. A healthcare analytics team, made up of the right people with the right tools and skillsets, can help address these challenges. This article walks through the steps organizations need to take to put an effective analytics team in place. These include the following:
Recognizing the need for change.
Demonstrating the value of an analytics team.
Conducting a current state assessment.
Identifying solutions.
Implementing a phased approach.
Building a roadmap.
Making the pitch.
Putting the roadmap into action.
The article also includes the foundation skills to look for when putting together the team and tips on how best to organize.
Healthcare Financial Transformation: Five Leading StrategiesHealth Catalyst
Healthcare financial transformation—improving care delivery while lowering costs—has been an ongoing challenge for health systems in the era of value-based care and an even more prominent concern amid COVID-19. While better care and reduced expense to organizations and consumers might seem like opposing goals, by understanding the true cost of services and other drivers of expense, organizations can successfully manage costs while maintaining, and even improving, care delivery. To that end, health systems can use data- and analytics-driven tools and strategies to addresses financial challenges, including uncompensated care, prolonged accounts receivable days, discharged not final billed cases, inefficient resource use, and more.
The Data Maze: Navigating the Complexities of Data GovernanceHealth Catalyst
Most organizations struggle to turn their data into a strategic asset. Oftentimes they lack the data they need, and don’t trust the data they have. This results in a struggle to surface meaningful opportunities, quantify the value of those opportunities, and transform insight into action. In this webinar, your host Tom Burton shares strategies for improving data literacy, ensuring data quality, and expanding data utilization.
This interactive, “choose your own adventure” style experience, allowed attendees to discover how investing in a deliberate, principle-based strategy can help them navigate the complexities of data governance and maximize the value of data for outcomes improvement.
View the webinar and learn:
- Demonstrate how to unleash data at your organization with efforts across the improvement spectrum.
- Recognize how to sustain and spread improvements across your entire organization.
- Illustrate the importance of investing in analytics training and infrastructure to prepare for massive improvement in healthcare outcomes.
- Understand the 5 key stages of the Data Life Cycle.
- Demonstrate strategies to overcome the common challenges around data quality, data utilization, and data literacy.
- Show how a data governance framework can accelerate improvement in clinical, cost, and experience outcomes.
In today’s healthcare market, financial challenges rank as the number one issue hospitals face. To maintain a margin to support their mission, hospital CEOs must always be on the lookout for opportunities to boost revenue through improved reimbursement. In this webinar, Thibodaux Regional Medical Center’s Greg Stock, president and chief executive officer, and Mikki Fazzio, director, HIM and clinical documentation improvement, as they share how Thibodaux Regional leveraged analytics to provide actionable feedback to continuously improve the process, and how you can too.
Managing ‘discharged not final billed’ (DNFB) cases is one important way hospitals can improve financial performance by increasing collection on bills with incomplete payment due to coding or documentation gaps. Historically, Thibodaux Regional’s DNFB caseload had reached 500 cases per month, with about a third of patients discharged without a completed bill due either to missing documentation or incomplete coding. Thibodaux Regional tackled this process problem by expanding the use of analytics to measure and track every aspect of their billing services. The results were impressive and sustainable. Three years after launching its initial DNFB redesign effort, Thibodaux Regional has realized $2.4M in additional annual reimbursement and a 61% relative reduction in DNFB dollars, as well as a 6.2 reduction in AR days, resulting in significantly improved cash flow.
View this webinar to learn how to:
- Increase reimbursement levels by optimizing workflow analytics
- Ease the documentation burden on overloaded physicians with time-efficient communication
- Provide critical analytics visibility to key stakeholders
Transform Your Labor Cost Management Strategy: Introducing the Health Catalys...Health Catalyst
Labor costs encompass nearly 60 percent of the typical healthcare budget and are growing faster than healthcare systems can afford. COVID-19 responses only exacerbated this financial pressure. Controlling escalating labor costs means eliminating waste and using data to find where budgeted staffing hours exceed or fall short of patient needs. Most organizations have the wrong tools to understand labor demands and instead try to guess future patient volumes and staffing needs by using retrospective data that lacks timeliness.
The Health Catalyst PowerLabor application leverages augmented intelligence (AI)-powered forecasting capabilities to deliver accurate labor data to operational leaders. With timely workforce insight, health systems can close the gap between staff budgeting and future patient volumes, control labor expenses, and track progress toward budget and staffing targets.
Join John Hansmann, Senior Vice President of Strategic Consulting Operations at Health Catalyst, and Sean Latimer, Senior Director of Product Management at Health Catalyst, as they demonstrate how PowerLabor can help your organization increase productivity while ensuring resources for excellent patient care.
What You’ll Learn About PowerLabor:
• View Comprehensive Labor Data in One Place: Department and unit managers can analyze labor costs with an integrated view of all labor productivity data, including cost and hours, by system, location, department, team, and job role in one location.
• Proactively Schedule to Volume: With a complete view of categorized labor hours in relation to costs (e.g., contracts, premiums, overtime, and staffing mix), decision makers can easily identify labor trends, comparisons, and rollups across departments to accurately predict labor needs, plan for changes in staffing, and optimize staff to patient ratios.
• Drive Adoption with Expert Guidance: To maximize the PowerLabor application, Health Catalyst experts help categorize and refine data through an initial assessment and data integration from multiple data sources (e.g., EMR, billing, HR/payroll, time and attendance, and general ledger). Our implementation teams also provide train-the-trainer sessions to drive the most effective adoption.
A Reference Architecture for Digital Health: The Health Catalyst Data Operati...Health Catalyst
There are essentially four strategic options to address the enterprise data platform requirements of today’s healthcare systems: (1) build your own, (2) buy from EHR vendors, (3) look to a Silicon Valley high-tech startup, and (4) partner with Health Catalyst or a handful of similar companies.
In this webinar, Health Catalyst’s CTO, Dale Sanders, comments on all four approaches, hoping to help you to assess your organization’s strategy against the options and vendors in each category.
It’s been exactly three years since Health Catalyst embarked on a major investment in its next-generation technology, the Data Operating System (DOS™) and its applications. This webinar is an update on the progress, less about marketing the technology, but rather offering DOS as a reference architecture that can support analytics, AI, text processing, data-first application development, and interoperability, as an all-in-one agile cost-savings architecture.
In addition to the successes, Dale comments on the challenges that Health Catalyst has faced under a very ambitious DOS development plan. In its current state, DOS has made some significant improvements to overcome early mistakes, and is now a very solid enterprise data platform. In the interests of industry-wide learning, Sanders will talk transparently about those mistakes and how those learnings are being applied to the DOS platform, positioning it to evolve gracefully over the next 25 years.
View the webinar to learn how the DOS reference architecture:
- Helps manage the 2,000+ compulsory measures in US healthcare
- Enables applications as varied as a real-time patient safety surveillance system, and an activity-based costing system in one platform
- Can ingest data of any type or velocity from over 300 healthcare source systems and growing
- Bundles tools, applications, and analytics that would cost 3-6x more to build on your own
- Compares to EHR vendors as an option to serve as an enterprise data and analytics platform
- Is a performant, sustainable, and maintainable platform for deploying AI models in the natural flow of the healthcare data pipeline
- Provides curated data content and models while still allowing for the agility of a late binding design option
- Functions as a reference architecture that all healthcare organizations and vendors will ultimately have to build in their pursuit of digital health
EHR Integration: Achieving this Digital Health ImperativeHealth Catalyst
As the digital trajectory of healthcare rises, health systems have an array of new resources available to make more effective and timely care decisions. However, to use these data analytics, machine learning, predictive analytics, and wellness applications to gain real-time, data-driven insight at the point of care, health systems must fully integrate the tools with their EHRs. Integration brings technical and administrative challenges, requiring organizations to coordinate around standards, administrative processes, regulatory principles, and functional integration, as well as develop compelling integration use cases that drive demand. When realized, full EHR integration will allow clinicians to leverage data from across the continuum of care (from health plan to patient-generated data) to improve patient diagnosis and treatment.
The Top Seven Healthcare Outcome Measures and Three Measurement EssentialsHealth Catalyst
Healthcare outcomes improvement can’t happen without effective outcomes measurement. Given the healthcare industry’s administrative and regulatory complexities, and the fact that health systems measure and report on hundreds of outcomes annually, this article adds much-needed clarity by reviewing the top seven outcome measures, including definitions, important nuances, and real-life examples. The top seven categories of outcome measures are:
Mortality
Readmissions
Safety of care
Effectiveness of care
Patient experience
Timeliness of care
Efficient use of medical imaging
CMS used these seven outcome measures to calculate overall hospital quality and arrive at its 2018 hospital star ratings. This article also reiterates the importance of outcomes measurement, clarifies how outcome measures are defined and prioritized, and recommends three essentials for successful outcomes measurement.
Using Advanced Analytics for Value-based Healthcare DeliveryMichael Joseph
Promoting Value-based Healthcare Delivery
The fundamental principles of the Affordable Care Act recognize that the volume-based, fee-for-service payment model is unsustainable and that a value-based healthcare delivery system is essential. With the emergence of Accountable Care Organizations (ACOs), providers are incentivized to implement payment reforms and participate in shared savings programs that seek to balance quality of care, access to care and cost of care.
Our healthcare analytics payment model uses predictive analytics to assist ACOs in patient attribution, budget development, bench-marking and performance monitoring to maximize incentives through shared savings and quality improvements.
Five Action Items to Improve HCC Coding Accuracy and Risk Adjustment With Ana...Health Catalyst
A hot topic in healthcare right now, especially in the medical coding world is the Hierarchical Condition Category (HCC) risk adjustment model and how accurate coding affects healthcare organizations’ reimbursement.
With almost one third of Medicare beneficiaries enrolled in Medicare Advantage plans, it’s more important than ever for healthcare organizations to pay attention to this model and make sure physicians are coding diagnoses appropriately to ensure fair compensation. This article walks through basics of the risk adjustment model, why coding accuracy is so important, and five action items for interdisciplinary work groups to take. They include:
Having an accurate problem list.
Ensuring patients are seen in each calendar year.
Improving decision support and EMR optimization.
Widespread education and communication.
Tracking performance and identifying opportunities.
How Data Transforms the Hospital Command Center to Pandemic ProportionsHealth Catalyst
Hospital command center leaders have never had to run an incident response on the scale of the COVID-19 pandemic. Whereas a typical emergency event (e.g., flooding, earthquakes, multivehicle collisions, or shootings) causes rapid patient influx with an identifiable starting and stopping point, the novel coronavirus has an ongoing, inestimable impact. The extensive duration, combined with high transmission risks and a massive scope of impact, demand that health systems prepare for complex facility, equipment, and staffing needs. Their best strategy is to leverage data-driven tools to scale their existing emergency response plans for COVID-19’s unprecedented proportions.
COVID-19 Emergency Financial Relief: Gas Pedal to the Floor, No Steering Wheel?Health Catalyst
Since the early stages of the COVID-19 pandemic, Congress and the federal government have committed massive amounts of money to economic recovery across affected industries, with healthcare receiving hundreds of billions of dollars in emergency funding. Despite this push to inject capital into a shuttered economy, healthcare organizations have gotten surprisingly little in the way of direction on how they could spend these monies. Providers—a few of which are flush with cash and many struggling with a lack of working capital—now grapple with questions about how to spend sizeable sums of stimulus money legally and how to get their organizations on the road to recovery. Meanwhile, they wait for more guidance, knowing the inevitable waves of audits and enforcement are coming.
During this webinar, you will learn the following:
- How to appropriately receive and optimize COVID-19 relief funding.
- How to utilize relief funding in a compliant way.
- How to proactively prepare for audit and oversight.
- How to make data-informed decisions to prepare, prevent, recover, and plan during a global pandemic.
Four Essential Ways Control Charts Guide Healthcare ImprovementHealth Catalyst
Control charts are a critical asset to any health system seeking effective, sustainable improvement. With a simple three-line format, control charts show process change over time, including the average of the data, upper control limit, and lower control limit. This insight helps improvement teams monitor projects, understand opportunities and the impact of initiatives, and sustain improved processes.
Also known as Shewhart charts or statistical process control charts, control charts drive effective improvement by addressing three fundamental questions:
1. What is the goal of the improvement project?
2. How will the organization know that a change is an improvement?
3. What change can the organization make that will result in improvement?
A 360° view of value-based healthcare: how to position your facility for successSourceMed
The shift from volume to value-based healthcare is underway and many outpatient providers are already participating. How are you preparing for this transition?
This presentation will explore the move to value-based care, and share ways for your facility to adapt what it is doing today to thrive under collaborative service delivery models, including: revenue cycle management, data analytics, patient engagement and system interoperability.
Should healthcare be more digitized? Absolutely. But if we go about it the wrong way... or the naïve way... we will take two steps forward and three steps back.
In this 90-minute webinar, Dale Sanders, President of Technology at Health Catalyst describes the right way to go about the technical digitization of healthcare so that it increases the sense of humanity during the journey.
The topics Dale covers include:
• The human, empathetic components of healthcare’s digitization strategy
• The AI-enabled healthcare encounter in the near future
• Why the current digital approach to patient engagement will never be effective
• The dramatic near-term potential of bio-integrated sensors
• Role of the “digitician” and patient data profiles
• The technology and architecture of a modern digital platform
• The role of AI vs. the role of traditional data analysis in healthcare
• Reasons that home grown digital platforms will not scale, economically
Most of the data that’s generated in healthcare is about administrative overhead of healthcare, not about the current state of patients’ well-being. On average, healthcare collects data about patients three times per year from which providers are expected to optimize diagnoses, treatments, predict health risks and cultivate long-term care plans. Where’s the data about patients’ health from the other 362 days per year?
McKinsey ranks industries based on their Digital Quotient (DQ), which is derived from a cross product of three areas: Data Assets x Data Skills x Data Utilization. Healthcare ranks lower than all industries except mining. It’s time for healthcare to raise its digital quotient, however, it’s a delicate balance. The current “data-driven” strategy in healthcare is a train wreck, sucking the life out of clinicians’ sense of mastery, autonomy, and purpose.
Healthcare’s digital strategy has largely ignored the digitization of patients’ state of health, but that’s changing, and the change will be revolutionary. Driven by bio-integrated sensors and affordable genomics, in the next five years, many patients will possess more data and AI-driven insights about their diagnosis and treatment options than healthcare systems, turning the existing dialogue with care providers on its head. It’s going to happen. Let’s make it happen the right way.
The Epicenter Of The Pandemic: Driving Transformation At Northwell HealthHealth Catalyst
Responding to the COVID-19 pandemic materially amplified Northwell Health’s necessary speed from question to answer. At the peak of the pandemic, Northwell, one of the hardest hit healthcare systems in the United States, had to manage an evolving cohort definition for COVID-19, an additional 200 beds daily, and new healthcare professionals from across the country. Navigating this crisis required careful planning, communication, coordination, and research, which necessitated unprecedented collaboration, an extensive patient registry, access to key datasets, geocoding, and serology testing. Learn about the data-driven response Northwell Health implemented from day one of the pandemic, the successes and lessons learned, and how organizations can use technology and analytics for future infection tracking and patient care.
During this webinar, Chris Hutchins, Vice President, Chief Data and Analytics Officer, Northwell Health, offers the following:
- Share strategies to navigate COVID-19.
- Identify how to use data marts to drive self-service analytics.
- Delve into strategies to drive transformation.
- Help you understand why you should design a flexible model for a cohort definition.
- Explain how to align critical resources to enable rapid response.
Closed-Loop EHR Integration Targets Burnout, Improves WorkflowsHealth Catalyst
The widespread adoption of EHRs has significantly altered the workflows of physicians and other healthcare workers. However, while EHRs were developed to better organize patient data and improve care coordination, most require significant and sometimes duplicative documentation, often resulting in workforce burnout.
Health Catalyst’s new Closed-Loop Analytics™ service tackles the EHR workload challenge by helping healthcare providers optimize their use of analytics in existing workflows. Closed-Loop Analytics leverages the knowhow of Health Catalyst clinical workflow experts with work experience at EHR vendors such as Epic, Cerner, and Allscripts. The team works with health systems to deploy analytics solutions directly into the EHR and better leverage analytics to simplify workflows and improve outcomes.
In this webinar, you will learn how Closed-Loop Analytics can help you:
- Determine where end-users are wasting time on duplicative tasks and how to optimize the EHR build to develop efficiencies.
- Develop analytical tools and deploy them into the EHR for increased utilization and improved insights at the point of decision-making.
- See the value of expanded integration capabilities with an analytics tool embedded into the EHR, such as launching to a patient’s chart or initiating an update to a treatment team.
- Understand how interoperability and FHIR are revolutionizing workflow integration and how you can put them to work.
Lean Healthcare: 6 Methodologies for Improvement from Dr. Brent JamesHealth Catalyst
The survival of healthcare organizations depends on applying lean principles. Organizations that adopt lean principles can reduce waste while improving the quality of care. By applying stringent clinical data measurement approaches to routine care delivery, healthcare systems identify best practice protocols and incorporate those into the clinical workflow. Data from these best practices are applied through continuous-learning loop that enables teams across the organization to update and improve protocols–ultimately reducing waste, lowering costs, and improving access to care.
This executive report based on a presentation by Dr. Brent James at a regional medical center, covers the following:
1. How lean healthcare principles can help improve the quality of care.
2. The steps healthcare organizations need to take to create a continuous-learning loop.
3. How a lean approach creates financial leverage by eliminating waste and improving net operating margins and ROI.
This group paper, written as a graduate student at CMU, attempts to define and summarize the huge challenge ahead of North American healthcare providers by illuminating current and future trends of healthcare business intelligence (BI); ramifications of EMR; the pros and cons of BI and analytics; the myriad ethical and privacy issues of big data’s role (normally associated with market share and profits); and lastly provide an industry overview of BI and analytics solutions specific to healthcare.
To view the 30+ page paper for which this presentation summarizes, please contact James Young via LinkedIn: https://www.linkedin.com/in/jamesyoung007
How to Build a Healthcare Analytics Team and Solve Strategic ProblemsHealth Catalyst
Health systems have vast amounts of data, but frequently struggle to use that data to solve strategic problems in a timely fashion. A healthcare analytics team, made up of the right people with the right tools and skillsets, can help address these challenges. This article walks through the steps organizations need to take to put an effective analytics team in place. These include the following:
Recognizing the need for change.
Demonstrating the value of an analytics team.
Conducting a current state assessment.
Identifying solutions.
Implementing a phased approach.
Building a roadmap.
Making the pitch.
Putting the roadmap into action.
The article also includes the foundation skills to look for when putting together the team and tips on how best to organize.
Healthcare Financial Transformation: Five Leading StrategiesHealth Catalyst
Healthcare financial transformation—improving care delivery while lowering costs—has been an ongoing challenge for health systems in the era of value-based care and an even more prominent concern amid COVID-19. While better care and reduced expense to organizations and consumers might seem like opposing goals, by understanding the true cost of services and other drivers of expense, organizations can successfully manage costs while maintaining, and even improving, care delivery. To that end, health systems can use data- and analytics-driven tools and strategies to addresses financial challenges, including uncompensated care, prolonged accounts receivable days, discharged not final billed cases, inefficient resource use, and more.
The Data Maze: Navigating the Complexities of Data GovernanceHealth Catalyst
Most organizations struggle to turn their data into a strategic asset. Oftentimes they lack the data they need, and don’t trust the data they have. This results in a struggle to surface meaningful opportunities, quantify the value of those opportunities, and transform insight into action. In this webinar, your host Tom Burton shares strategies for improving data literacy, ensuring data quality, and expanding data utilization.
This interactive, “choose your own adventure” style experience, allowed attendees to discover how investing in a deliberate, principle-based strategy can help them navigate the complexities of data governance and maximize the value of data for outcomes improvement.
View the webinar and learn:
- Demonstrate how to unleash data at your organization with efforts across the improvement spectrum.
- Recognize how to sustain and spread improvements across your entire organization.
- Illustrate the importance of investing in analytics training and infrastructure to prepare for massive improvement in healthcare outcomes.
- Understand the 5 key stages of the Data Life Cycle.
- Demonstrate strategies to overcome the common challenges around data quality, data utilization, and data literacy.
- Show how a data governance framework can accelerate improvement in clinical, cost, and experience outcomes.
In today’s healthcare market, financial challenges rank as the number one issue hospitals face. To maintain a margin to support their mission, hospital CEOs must always be on the lookout for opportunities to boost revenue through improved reimbursement. In this webinar, Thibodaux Regional Medical Center’s Greg Stock, president and chief executive officer, and Mikki Fazzio, director, HIM and clinical documentation improvement, as they share how Thibodaux Regional leveraged analytics to provide actionable feedback to continuously improve the process, and how you can too.
Managing ‘discharged not final billed’ (DNFB) cases is one important way hospitals can improve financial performance by increasing collection on bills with incomplete payment due to coding or documentation gaps. Historically, Thibodaux Regional’s DNFB caseload had reached 500 cases per month, with about a third of patients discharged without a completed bill due either to missing documentation or incomplete coding. Thibodaux Regional tackled this process problem by expanding the use of analytics to measure and track every aspect of their billing services. The results were impressive and sustainable. Three years after launching its initial DNFB redesign effort, Thibodaux Regional has realized $2.4M in additional annual reimbursement and a 61% relative reduction in DNFB dollars, as well as a 6.2 reduction in AR days, resulting in significantly improved cash flow.
View this webinar to learn how to:
- Increase reimbursement levels by optimizing workflow analytics
- Ease the documentation burden on overloaded physicians with time-efficient communication
- Provide critical analytics visibility to key stakeholders
Transform Your Labor Cost Management Strategy: Introducing the Health Catalys...Health Catalyst
Labor costs encompass nearly 60 percent of the typical healthcare budget and are growing faster than healthcare systems can afford. COVID-19 responses only exacerbated this financial pressure. Controlling escalating labor costs means eliminating waste and using data to find where budgeted staffing hours exceed or fall short of patient needs. Most organizations have the wrong tools to understand labor demands and instead try to guess future patient volumes and staffing needs by using retrospective data that lacks timeliness.
The Health Catalyst PowerLabor application leverages augmented intelligence (AI)-powered forecasting capabilities to deliver accurate labor data to operational leaders. With timely workforce insight, health systems can close the gap between staff budgeting and future patient volumes, control labor expenses, and track progress toward budget and staffing targets.
Join John Hansmann, Senior Vice President of Strategic Consulting Operations at Health Catalyst, and Sean Latimer, Senior Director of Product Management at Health Catalyst, as they demonstrate how PowerLabor can help your organization increase productivity while ensuring resources for excellent patient care.
What You’ll Learn About PowerLabor:
• View Comprehensive Labor Data in One Place: Department and unit managers can analyze labor costs with an integrated view of all labor productivity data, including cost and hours, by system, location, department, team, and job role in one location.
• Proactively Schedule to Volume: With a complete view of categorized labor hours in relation to costs (e.g., contracts, premiums, overtime, and staffing mix), decision makers can easily identify labor trends, comparisons, and rollups across departments to accurately predict labor needs, plan for changes in staffing, and optimize staff to patient ratios.
• Drive Adoption with Expert Guidance: To maximize the PowerLabor application, Health Catalyst experts help categorize and refine data through an initial assessment and data integration from multiple data sources (e.g., EMR, billing, HR/payroll, time and attendance, and general ledger). Our implementation teams also provide train-the-trainer sessions to drive the most effective adoption.
2023 — Focus on the Margin (Vitalware by Health Catalyst)Health Catalyst
In this webinar, we will look at pressures exerted in 2023 on the margin and explore how cost management and complete charge capture can protect and enhance the margin. We will provide details on patient activity costing versus the cost-to-charge ratio (CCR), looking at common themes for lost charges and providing an example of where patient activity cost management was able to provide insight into cost containment and practice patterns of a system provider.
Patient Engagement: The Next Wave of Change in Healthcare ITCascadia Capital
Patient Engagement is one of the fastest growing sub verticals in Healthcare. Is it really going to solve some of the big issues plaguing the Healthcare system? We think so.
Revenue at Risk: Understanding Financial Impacts of Quality ReportingBill Presley
Jodi Frei, Northwestern Medical Center Vermont, and I co-presented at the MUSE Executive Institute on Revenue at Risk: Understanding Financial Impacts of Quality Reporting. The Executive Institute featured many amazing CXO's discussing the changing landscape of revenue cycle management and how finance, quality, and IT departments are converging on revenue cycle.
Though pay for performance is the common theme, the logistics of programs including Value Based Purchasing (VBP), Inpatient Quality Reporting (IQR), Hospital Acquired Condition (HAC) Reduction Program, Readmission Reduction, MACRA, MIPS and APMs, are very different. In this session, the specifics of each Quality Program including reporting requirements, scoring methodologies, and associated incentives and penalties will be covered. In addition, tools to track performance and quantify financial risk will be shared.
Reimbursement in this era of health care reform is challenging. We all seek success under this new normal in health care. Optimizing revenue capture in a quality reimbursement model requires acquisition of new knowledge and the use of new tools and strategies. Join us in the conversation; share your strategies; learn from others.
How to Achieve the Competencies of Successful Value-based Contracting Delive...Health Catalyst
This webinar will review the evolution of the value-based contracting world, identifying key insights into impactable contract levers, and delineating systematic steps that lead to sustainable value-based contracting success. Health Catalyst team members Bobbi Brown, SVP, a healthcare finance executive with over 40 years’ experience, and Jonas Varnum, a population health and value-based care strategic consultant expert, will present on many of their battle-scarred experiences working with the financial, clinical, analytical, and operational components of value-based contracting delivery models including: 1) Shared qualities of successful value-based contracting delivery systems.
2) The intensifying need for robust data to drive success.
3) Refining and optimizing core competencies.
4) Increasing sustainability by impacting key contract levers.
The CMS Innovation Center hosted a special webinar featuring Dr. Patrick Conway, CMS Deputy Administrator for Innovation and Quality and CMS Chief Medical Officer, on Monday, November 10, 2014 from 10:30am – 11:30 am ET. Dr. Conway will provided an update about the work of the CMS Innovation Center and the models being tested to improve better care for patients, better health for our communities, and lower costs through improvement for our health care system. Opportunities for questions were provided.
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Catasys, Inc. harnesses proprietary big data predictive analytics, artificial intelligence and telehealth, and human intervention to deliver improved member health and cost savings to health plans through integrated technology enabled treatment solutions. It is our mission to provide access to affordable and effective care, thereby improving health and reducing cost of care for people who suffer from the medical consequences of behavioral health conditions. Catasys helps these people and their families achieve and maintain better lives.
It’s 2020 and healthcare is at a crossroads. Will this be the tipping point in the transformation of care or are we in for yet-another decade of radical change and resistance? Here's six key trends that I think are likely to tip the scales and shape the healthcare business model of the new era.
Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
Join us as we delve into the crucial realm of quality reporting for MSSP (Medicare Shared Savings Program) Accountable Care Organizations (ACOs).
In this session, we will explore how a robust quality management solution can empower your organization to meet regulatory requirements and improve processes for MIPS reporting and internal quality programs. Learn how our MeasureAble application enables compliance and fosters continuous improvement.
Unlock the Secrets to Optimizing Ambulatory Operations Efficiency and Change ...Health Catalyst
Today’s healthcare leaders are seeking technology solutions to optimize efficiencies and improve patient care. However, without effective change management and strategies in place, healthcare leaders struggle to strategically improve patient flow, space, to strategically improve patient flow, space, and schedule management, and implement daily huddles. The role of technology in supporting operational efficiency and change management initiatives is inevitable.
During this webinar, attendees will learn how to optimize Ambulatory Operational Efficiencies and Change Management. Attendees will also learn about the importance of visual management boards in enhancing clinic performance and insights into effective change management approaches.
Patient expectations are rising, and organizations are continuously being asked to do more with less.
Additionally, the convergence of several significant emerging market and policy trends, economic uncertainty, labor force shortages, and the end of the COVID-19 public health emergency has created a unique set of challenges for healthcare organizations.
Attend this timely webinar to learn about new trends and their impact on key healthcare issues, such as patient engagement, migration to value-based care, analytics adoption, the use of alternative care sites, and data governance and management challenges.
During this webinar, we will discuss the complexities of AI, trends, and platforms in the industry. Dive deep into understanding the true essence of AI, exploring its potential, real-world use cases, and common misconceptions. Gain valuable insights into the latest technology trends impacting healthcare and discover strategies for maximizing ROI in your technology investments.
Explore the profound impact of data literacy on healthcare organizations and how it shapes the utilization of data and technology for transformative outcomes. Understand the top technology priorities for healthcare organizations and learn how to navigate the digital landscape effectively. Furthermore, simplify industry jargon by defining common data elements, fostering clearer communication and collaboration across stakeholders.
Finally, uncover the transformative potentials of platforms in healthcare and how they can revolutionize scalability, interoperability, and innovation within your organization. Don't miss this opportunity to gain invaluable insights from industry experts and stay ahead in the ever-evolving healthcare landscape. Reserve your spot now for an enlightening journey into the future of healthcare technology!
Three Keys to a Successful Margin: Charges, Costs, and LaborHealth Catalyst
How can cost management and complete charge capture protect and enhance the margin?
In this webinar, we will look at 2024 margin pressures likely to impact your organization’s financial resiliency. This presentation will also share how organizations can move from Fee-for-Service to Value; bringing Cost to the forefront.
2024 CPT® Updates (Professional Services Focused) - Part 3Health Catalyst
Each year the CPT code set undergoes significant changes. Physicians and their office staff need to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted and revised CPT codes and associated guidelines for 2024. This presentation will focus on the changes to the CPT dataset and the associated work RVU value changes that impact professional service reporting.
During this complimentary webinar, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. You will leave with an understanding of the financial implications of the changes on your practice.
2024 CPT® Code Updates (HIM Focused) - Part 2Health Catalyst
Each year the CPT code set and the HCPCS code set undergo significant changes, and your coding staff needs to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted and revised CPT codes and associated guidelines for 2024. This is part two in a three-part series.
During these complimentary webinars, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. This presentation will be geared towards hospital staff with a focus on the surgical section of the CPT book in addition to surgical Category III codes.
2024 CPT® Code Updates (CDM Focused) - Part 1Health Catalyst
Each year the CPT and the HCPCS code sets undergo significant changes, and your staff needs to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted, and revised CPT codes and associated guidelines for 2024. This is part one in a three-part series, with a CDM focus.
During these complimentary webinars, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. This presentation will be geared towards hospital staff with a focus on the non-surgical sections of the CPT book.
What’s Next for Hospital Price Transparency in 2024 and BeyondHealth Catalyst
The Centers for Medicare & Medicaid Services (CMS) published updates to the hospital price transparency requirements in the CY 2024 Outpatient Prospective Payment System (OPPS) Final Rule. The updates will be phased in over the next 14 months and include several significant changes including the use of a CMS-mandated template, a requirement for an affirmation statement from the hospital, and several new data elements. Join us to discover what changes are scheduled for implementation in 2024 and 2025 and how they’ll impact your facility.
During this complimentary 60-minute webinar, we’ll analyze the key provisions of the Price Transparency regulations and provide insights to help you prepare for the upcoming changes.
Automated Patient Reported Outcomes (PROs) for Hip & Knee ReplacementHealth Catalyst
What was once voluntary reporting will soon be made mandatory with penalties.
On July 1, 2024, all health systems will be required to collect Patient Reported Outcome Measures (PROM) as part of the Centers for Medicare & Medicaid Services (CMS) regulation for the following measures:
Hospital-Level, Risk Standardized Patient-Reported Outcomes Performance Measure (PRO-PM) Following Elective Primary Total Hip Arthroplasty (THA) and/or Total Knee Arthroplasty (TKA)
Hospital-Level Risk-Standardized Complication Rate (RSCR) Following Elective Primary THA/TKA
Are you equipped to handle these new requirements?
Mandatory data collection begins April 1, 2024, and failure to submit timely data can result in a 25 percent reduction in payments by Medicare.
Attend this webinar to learn how mobile engagement can empower your organization to meet this requirement.
2024 Medicare Physician Fee Schedule (MPFS) Final Rule UpdatesHealth Catalyst
According to the Centers for Medicare & Medicaid Services (CMS), the calendar year (CY) 2024 MPFS final rule was created to advance health equity and improve access to affordable healthcare. This webinar will cover the major policy updates of the MPFS final rule including updates to the telehealth services policy and remote monitoring services and enrollment of MFTs and MHCs as Medicare providers. The conversation will also cover policy changes on split (or shared) evaluation and management (E/M) visits, and the Appropriate Use Criteria (AUC) for Advanced Diagnostic Imaging.
What's Next for OPPS: A Look at the 2024 Final RuleHealth Catalyst
During this webinar, we’ll analyze the key provisions of the OPPS final rule and identify the significant changes for the coming year to help prepare your staff for compliance with the 2024 Medicare outpatient billing guidelines.
Insight into the 2024 ICD-10 PCS Updates - Part 2Health Catalyst
Prepare for mandatory ICD-10 PCS diagnosis code updates, which take effect on October 1, 2023. By attending this 60-minute educational session, medical coders and healthcare professionals will gain a comprehensive understanding of the changes to the 2024 ICD-10 procedure codes and their guidelines, enabling accurate and compliant coding for optimal billing and reimbursement.
Vitalware Insight Into the 2024 ICD10 CM Updates.pdfHealth Catalyst
Prepare for mandatory ICD-10 CM diagnosis code updates, which take effect on October 1, 2023. By attending this 60-minute educational session, medical coders and healthcare professionals will gain a comprehensive understanding of the changes to the 2024 ICD-10 diagnosis codes and their guidelines, along with major complication or comorbidity (MCC), complication or comorbidity (CC), and Medicare Severity Diagnosis Related Groups (MS-DRGs) classification changes. With this information, professionals can ensure accurate and compliant diagnosis coding for optimal billing and reimbursement.
Driving Value: Boosting Clinical Registry Value Using ARMUS SolutionsHealth Catalyst
Many hospitals today face a perfect storm of operational and financial challenges. With increasing competition from outpatient facilities and rising care costs negatively impacting budgets, now is the time to boost your clinical registry’s value. However, collecting and analyzing data can be time-consuming and costly without the right tools. During this webinar, we will share insights and best practices for increasing the value of registry participation and how it’s possible to reduce costs while improving outcomes using the ARMUS Product Suite.
Tech-Enabled Managed Services: Not Your Average OutsourcingHealth Catalyst
During this webinar you'll learn the following:
The importance of optimizing performance, reducing labor costs and sourcing talent given current market challenges.
Highlighting the need for a balanced approach to cost reduction.
How to reap the benefits of outsourcing (cost cutting, expertise, etc) while protecting yourself from the collateral damage that often comes with them.
This webinar will provide an in-depth review of the CPT/HCPCS code set changes that will be effective on July 1, 2023. The review will include additions and deletions to the CPT/HCPCS code set, revisions of code descriptors, payment changes, and rationale behind the changes.
How Managing Chronic Conditions Is Streamlined with Digital TechnologyHealth Catalyst
Chronic conditions across the United States are prevalent and continue to rise. Managing one or more chronic diseases can be very challenging for patients who may be overwhelmed or confused about their care plan and may not have access to the resources they need. At the same time, care teams are overburdened, making it difficult to provide the support these patients require to stay as healthy as possible. A new approach to chronic condition management leverages technology to enable organizations to scale high-quality care, identify gaps in care, provide personalized support, and monitor patients on an ongoing basis. Such streamlined management will result in better outcomes, reduced costs, and more satisfied patients.
COVID-19: After the Public Health Emergency EndsHealth Catalyst
In this fast-paced webinar, we will discuss the impact of the end of the public health emergency (PHE), including upcoming changes to the different flexibilities allowed during the PHE and the timeline for when these flexibilities will end. We’ll also cover coding changes and reimbursement updates.
Automated Medication Compliance Tools for the Provider and PatientHealth Catalyst
When it comes to sustaining patient health outcomes, compliance and adherence to medication regimens are critically important, especially as providers manage patients with complex care needs and multiple medications. But, with provider burnout and staffing shortages at an all-time high, an efficient solution is critical. The use of automated medication management workflows to decrease provider burnout, while improving both medication compliance and patient engagement, is the way forward.
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfSachin Sharma
Pediatric nurses play a vital role in the health and well-being of children. Their responsibilities are wide-ranging, and their objectives can be categorized into several key areas:
1. Direct Patient Care:
Objective: Provide comprehensive and compassionate care to infants, children, and adolescents in various healthcare settings (hospitals, clinics, etc.).
This includes tasks like:
Monitoring vital signs and physical condition.
Administering medications and treatments.
Performing procedures as directed by doctors.
Assisting with daily living activities (bathing, feeding).
Providing emotional support and pain management.
2. Health Promotion and Education:
Objective: Promote healthy behaviors and educate children, families, and communities about preventive healthcare.
This includes tasks like:
Administering vaccinations.
Providing education on nutrition, hygiene, and development.
Offering breastfeeding and childbirth support.
Counseling families on safety and injury prevention.
3. Collaboration and Advocacy:
Objective: Collaborate effectively with doctors, social workers, therapists, and other healthcare professionals to ensure coordinated care for children.
Objective: Advocate for the rights and best interests of their patients, especially when children cannot speak for themselves.
This includes tasks like:
Communicating effectively with healthcare teams.
Identifying and addressing potential risks to child welfare.
Educating families about their child's condition and treatment options.
4. Professional Development and Research:
Objective: Stay up-to-date on the latest advancements in pediatric healthcare through continuing education and research.
Objective: Contribute to improving the quality of care for children by participating in research initiatives.
This includes tasks like:
Attending workshops and conferences on pediatric nursing.
Participating in clinical trials related to child health.
Implementing evidence-based practices into their daily routines.
By fulfilling these objectives, pediatric nurses play a crucial role in ensuring the optimal health and well-being of children throughout all stages of their development.
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Navigating the Health Insurance Market_ Understanding Trends and Options.pdfEnterprise Wired
From navigating policy options to staying informed about industry trends, this comprehensive guide explores everything you need to know about the health insurance market.
Antibiotic Stewardship by Anushri Srivastava.pptxAnushriSrivastav
Stewardship is the act of taking good care of something.
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
WHO launched the Global Antimicrobial Resistance and Use Surveillance System (GLASS) in 2015 to fill knowledge gaps and inform strategies at all levels.
ACCORDING TO apic.org,
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
ACCORDING TO pewtrusts.org,
Antibiotic stewardship refers to efforts in doctors’ offices, hospitals, long term care facilities, and other health care settings to ensure that antibiotics are used only when necessary and appropriate
According to WHO,
Antimicrobial stewardship is a systematic approach to educate and support health care professionals to follow evidence-based guidelines for prescribing and administering antimicrobials
In 1996, John McGowan and Dale Gerding first applied the term antimicrobial stewardship, where they suggested a causal association between antimicrobial agent use and resistance. They also focused on the urgency of large-scale controlled trials of antimicrobial-use regulation employing sophisticated epidemiologic methods, molecular typing, and precise resistance mechanism analysis.
Antimicrobial Stewardship(AMS) refers to the optimal selection, dosing, and duration of antimicrobial treatment resulting in the best clinical outcome with minimal side effects to the patients and minimal impact on subsequent resistance.
According to the 2019 report, in the US, more than 2.8 million antibiotic-resistant infections occur each year, and more than 35000 people die. In addition to this, it also mentioned that 223,900 cases of Clostridoides difficile occurred in 2017, of which 12800 people died. The report did not include viruses or parasites
VISION
Being proactive
Supporting optimal animal and human health
Exploring ways to reduce overall use of antimicrobials
Using the drugs that prevent and treat disease by killing microscopic organisms in a responsible way
GOAL
to prevent the generation and spread of antimicrobial resistance (AMR). Doing so will preserve the effectiveness of these drugs in animals and humans for years to come.
being to preserve human and animal health and the effectiveness of antimicrobial medications.
to implement a multidisciplinary approach in assembling a stewardship team to include an infectious disease physician, a clinical pharmacist with infectious diseases training, infection preventionist, and a close collaboration with the staff in the clinical microbiology laboratory
to prevent antimicrobial overuse, misuse and abuse.
to minimize the developme
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India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cell
R3 Stem Cells and Kidney Repair: A New Horizon in Nephrology" explores groundbreaking advancements in the use of R3 stem cells for kidney disease treatment. This insightful piece delves into the potential of these cells to regenerate damaged kidney tissue, offering new hope for patients and reshaping the future of nephrology.
Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...Dr. David Greene Arizona
As we watch Dr. Greene's continued efforts and research in Arizona, it's clear that stem cell therapy holds a promising key to unlocking new doors in the treatment of kidney disease. With each study and trial, we step closer to a world where kidney disease is no longer a life sentence but a treatable condition, thanks to pioneers like Dr. David Greene.
The Next Revolution in Healthcare: Why the New MSSP Revisions Matter Now More Than Ever
1. The Next Revolution of Healthcare:
Why the New MSSP Revisions Matter
Now More Than Ever
Will Caldwell, MD, MBA
Senior Vice President
Health Catalyst