Demonstrating ROI for Telehealth Programs
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Presentation by Kamal Jethwani, MD, MPH, Corporate Manager, Research and Innovation, Center for Connected Health, Partners Healthcare
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1. Focus on data orchestration, not data computing.
2. Leverage real-time data, especially in a pandemic.
3. Prioritize data democratization over data control.
4. Use AI, if you’re not already.
5. Change current care models to fit the data.
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Effective, sustainable healthcare transformation rests in the organizational operations that power care delivery. Operations include the administrative, financial, legal, and clinical activities that keep health systems running and caring for patients. With operations so critical to care delivery, forward-thinking organizations continuously strive to improve their operational outcomes. Health systems can follow thought leadership that addresses common industry challenges—including waste reduction, obstacles in process change, limited hospital capacity, and complex project management—to inform their operational improvement strategies.
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Using improvement science for true change.
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Leveraging project management techniques.
Features of highly effective improvement projects.
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With the Health Catalyst VitalIntegrity™ web-based application, health systems can efficiently manage hospital charge capture processes, detect compliance issues, and secure more earned revenue. By revealing the root cause of every revenue challenge, VitalIntegrity enables teams to minimize leakage from under- and over-charging, late or missing coding, mismatched charges and supplies, and a wide range of CDM-related matters.
Adam Ziegel, Director of Product Management, demonstrates how VitalIntegrity can help your organization identify considerably more revenue opportunities.
Population Stratification Made Easy, Quick, and Transparent for Anyone
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.
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With COVID-19 presenting unprecedented challenges, health systems are struggling to financially survive. With little data about the novel coronavirus, traditional financial approaches that rely on historical information are not sufficient. However, organizations can get back on the road to financial recovery and well-being by practicing three key strategies centered around data:
Prioritize access to real-time data.
Understand data at a deeper level.
Realize margin and cost by service line.
Leveraging data allows financial healthcare leaders to effectively manage the COVID-19 challenges and prepare their health systems for future obstacles.
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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.
Four Essential Ways Control Charts Guide Healthcare Improvement
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?
The Foundations of Success in Population Health Management
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
Using Advanced Analytics for Value-based Healthcare Delivery
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.
How Data Transforms the Hospital Command Center to Pandemic Proportions
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.
Cloud Cybersecurity: Strategies for Managing Vendor Risk
As more organizations shift away from on-premise architectures toward the cloud or hybrid hosting models, critical cybersecurity concerns emerge. Organizations, especially health systems, should carefully examine the shared responsibility model in partnership with their cloud vendor.
Kevin Scharnhorst, Health Catalyst Chief Information Security Officer, shares perspectives on how your organization’s security program, through adherence to standards-based policy and procedures, can align with your cloud vendor on reduced organizational risk.
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It can be confusing to know whether or not your health system needs to add a data warehouse unless you understand how it’s different from a clinical data repository. A clinical data repository consolidates data from various clinical sources, such as an EMR, to provide a clinical view of patients. A data warehouse, in comparison, provides a single source of truth for all types of data pulled in from the many source systems across the enterprise. The data warehouse also has these benefits: a faster time to value, flexible architecture to make easy adjustments, reduction in waste and inefficiencies, reduced errors, standardized reports, decreased wait times for reports, data governance and security.
Healthcare Dashboard Group 3
This document describes the development of a healthcare dashboard to analyze heart failure (HF) readmission rates. The dashboard visualizes data on HF readmission interventions like early physician follow-up and a patient portal. It aims to identify factors influencing readmissions and determine which interventions are most effective. The dashboard displays data through graphs, charts and traffic light indicators. It was designed for various users like physicians, nurses and administrators. The goal is for the dashboard to help decision-making, guide resource allocation and lower HF readmission risks through data-driven insights.
A 360° view of value-based healthcare: how to position your facility for success
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.
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The document discusses the challenges of healthcare organizations building their own data platforms (BYO) versus using a commercial healthcare data platform from a vendor. BYO platforms often struggle with domain-specific healthcare data, ongoing integration costs as technologies change, and insufficient data orchestration. They also lack artificial intelligence expertise. While BYO allows some control, partnering with an expert vendor can help overcome these challenges by shortening the analytics timeline, strengthening analytics, and future-proofing the system.
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Population Health Management: Path to Value
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.
COVID-19 Emergency Financial Relief: Gas Pedal to the Floor, No Steering Wheel?
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.
Why Healthcare Costing Matters to Enable Strategy and Financial Performance
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.
Current Status of Healthcare Analytics
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
Accelerate Data-Driven Healthcare Improvement: 5 Tenets
Growing amounts of data can be overwhelming for healthcare entities to organize, manage, and distribute effectively, sometimes making data more of a burden than a benefit. However, if organizations adopt the right data mentality, they can gain insight into performance, track an intervention’s success, and improve outcomes. According to data experts, Bryan Hinton, our Chief Technology officer, and TJ Elbert, our SVP and General Manager of Data, organizations can apply five mindset changes to avoid data overload and achieve data-driven improvement:
1. Focus on data orchestration, not data computing.
2. Leverage real-time data, especially in a pandemic.
3. Prioritize data democratization over data control.
4. Use AI, if you’re not already.
5. Change current care models to fit the data.
The Top Five Insights into Healthcare Operational Outcomes Improvement
Effective, sustainable healthcare transformation rests in the organizational operations that power care delivery. Operations include the administrative, financial, legal, and clinical activities that keep health systems running and caring for patients. With operations so critical to care delivery, forward-thinking organizations continuously strive to improve their operational outcomes. Health systems can follow thought leadership that addresses common industry challenges—including waste reduction, obstacles in process change, limited hospital capacity, and complex project management—to inform their operational improvement strategies.
Five top insights address the following aspects of healthcare operational outcomes improvement:
Quality improvement as a foundational business strategy.
Using improvement science for true change.
Increasing hospital capacity without construction.
Leveraging project management techniques.
Features of highly effective improvement projects.
Amplify Your Organization’s Revenue Opportunities: Introducing Health Catalys...
Healthcare financial leaders face a variety of threats to the revenue cycle. Common challenges include manual processes, the lack of integrated workflows, and different IT systems as well as external challenges, such as regulatory issues and shifting reimbursement regulations. Furthermore, changes in billing methods, new technologies, lack of staff training, and obsolete charging practices force healthcare organizations to leave a portion of net revenue on the table. To address these obstacles, revenue cycle leaders need granular data that reveals the root cause of lost charges.
With the Health Catalyst VitalIntegrity™ web-based application, health systems can efficiently manage hospital charge capture processes, detect compliance issues, and secure more earned revenue. By revealing the root cause of every revenue challenge, VitalIntegrity enables teams to minimize leakage from under- and over-charging, late or missing coding, mismatched charges and supplies, and a wide range of CDM-related matters.
Adam Ziegel, Director of Product Management, demonstrates how VitalIntegrity can help your organization identify considerably more revenue opportunities.
Population Stratification Made Easy, Quick, and Transparent for Anyone
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.
An Effective Financial Response to COVID-19: Three Ways to Leverage Data
With COVID-19 presenting unprecedented challenges, health systems are struggling to financially survive. With little data about the novel coronavirus, traditional financial approaches that rely on historical information are not sufficient. However, organizations can get back on the road to financial recovery and well-being by practicing three key strategies centered around data:
Prioritize access to real-time data.
Understand data at a deeper level.
Realize margin and cost by service line.
Leveraging data allows financial healthcare leaders to effectively manage the COVID-19 challenges and prepare their health systems for future obstacles.
The Next Revolution in Healthcare: Why the New MSSP Revisions Matter Now More...
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.
Four Essential Ways Control Charts Guide Healthcare Improvement
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?
The Foundations of Success in Population Health Management
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
Using Advanced Analytics for Value-based Healthcare Delivery
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.
How Data Transforms the Hospital Command Center to Pandemic Proportions
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.
Cloud Cybersecurity: Strategies for Managing Vendor Risk
As more organizations shift away from on-premise architectures toward the cloud or hybrid hosting models, critical cybersecurity concerns emerge. Organizations, especially health systems, should carefully examine the shared responsibility model in partnership with their cloud vendor.
Kevin Scharnhorst, Health Catalyst Chief Information Security Officer, shares perspectives on how your organization’s security program, through adherence to standards-based policy and procedures, can align with your cloud vendor on reduced organizational risk.
Clinical Data Repository vs. A Data Warehouse - Which Do You Need?
It can be confusing to know whether or not your health system needs to add a data warehouse unless you understand how it’s different from a clinical data repository. A clinical data repository consolidates data from various clinical sources, such as an EMR, to provide a clinical view of patients. A data warehouse, in comparison, provides a single source of truth for all types of data pulled in from the many source systems across the enterprise. The data warehouse also has these benefits: a faster time to value, flexible architecture to make easy adjustments, reduction in waste and inefficiencies, reduced errors, standardized reports, decreased wait times for reports, data governance and security.
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This document describes the development of a healthcare dashboard to analyze heart failure (HF) readmission rates. The dashboard visualizes data on HF readmission interventions like early physician follow-up and a patient portal. It aims to identify factors influencing readmissions and determine which interventions are most effective. The dashboard displays data through graphs, charts and traffic light indicators. It was designed for various users like physicians, nurses and administrators. The goal is for the dashboard to help decision-making, guide resource allocation and lower HF readmission risks through data-driven insights.
A 360° view of value-based healthcare: how to position your facility for success
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.
Why a Build-Your-Own Healthcare Data Platform Will Fall Short and What to Do ...
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This document discusses telehealth models in 21st century healthcare. It provides an overview of telehealth definitions and benefits, including improving access to care for aging and chronic disease populations. The University of Virginia Center for Telehealth is presented as a case study, serving over 41,000 patients across Virginia through telestroke, telepsychiatry, tele-ophthalmology and remote patient monitoring programs. The document concludes with discussing needed policy changes to improve Medicare and Medicaid reimbursement and licensing requirements to further support telehealth expansion.What is Telehealth, Why Telehealth and Telehealth Demo - Joe Tracy
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Olfactory Genes:
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400 genes for odorant receptors.
Olfactory Membrane:
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Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
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Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
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Membrane Potential and Action Potential:
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Adaptation Towards the Sense of Smell:
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Behavioral and emotional influences of smell.
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Demonstrating ROI for Telehealth Programs
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- 2. Remote Patient Monitoring - ROI Many Remote Monitoring Programs are in pilot or research stage – and are not reimbursable Question: What value can an RPM program bring when it is operational? Flexible ROI tool created for a variety of stakeholders– evaluating cost inputs and value of outcomes/impact Tele-health programs differ widely in every implementation, hence the need to test with several models before being able to generalize. 2
- 3. Remote Patient Monitoring - ROI Inputs gathered for ROI include: Patient enrollment and growth assumptions Staffing requirements – both fixed and variable Technology costs – including up-front investments required, per patient costs, and assumptions relating to type of technology needed Other operational costs – including inventory management, refurbishment, other administrative costs Value of the program measured by change in healthcare utilization – using actual data as assumptions Inpatient admissions Outpatient visits Home visits 30-day admissions 3
- 4. Who can use the tool? User profiles: Explorers: Interested in exploring RPM but have no experience or data Pilots: Have some pilot data, either as a program or clinical trial Take to scale: Sites that want to expand pilot projects Evaluate scale: Evaluate if the current scaling strategy makes sense. How will they use it? One time evaluation to ascertain strategy Evaluate success Benchmark for quality of outcomes and cost Analyze sensitivities Program improvement 4
- 13. ROI Tool in Practice ROI tool developed in collaboration with five organizations: RPM program value analysis and optimization Accurately capturing RPM inputs and outcomes Meeting readmissions reduction targets (aligned with ACA provisions) Effective in influencing management discussions regarding expansion and sustainability Achieving Triple Aims – improving care and costs, as well as patient experience 13
- 14. Beta Testing Please contact us to be a beta user Center for Connected Health kjethwani@partners.org Center for Technology and Aging support@techandaging.org 14