The data steward is critical to sustained outcomes improvement, yet they tend to be underappreciated members of the healthcare analytics family. Combining the invaluable technical expertise of a data analyst with the vital clinical knowledge of an experienced caregiver, the data steward’s skills and proficiency at both positions brings value beyond measure to any outcomes improvement project. Unfortunately, all too often, their role is non-existent even though potential candidates for the job are located in multiple data sources throughout the organization. Among other responsibilities, the data steward:
Reinforces the global data governance principles.
Helps develop and refine details of local data governance practices.
Is the eyes and ears of the organization with respect to data governance and the governance committee.
Provides direction to peers regarding appropriate data definitions, usage, and access.
Anticipates local consequences of global changes
For innovative health system leaders who have specifically recognized this emerging role, the ROI of data stewards who help achieve improved outcomes is very worthwhile.
Is That Data Valid? Getting Accurate Financial Data in HealthcareHealth Catalyst
A consolidated EDW is not a replacement or threat to the individual financial systems and reporting tools employed for general ledger, billing, payroll, or supply management. On the contrary, each of those systems is designed with sophisticated functionality that drives organizational efficiency. But alone, these systems realize only a portion of their true return on investment for the enterprise. As a consolidated data resource, these systems provide untold potential to address the underlying challenges to efficient, cost-effective health care.
3 Phases of Healthcare Data Governance in AnalyticsHealth Catalyst
Healthcare data governance is a broad topic and covers more than data stewardship, storage, and technical roles and responsibilities. And it’s not easy to implement. It’s necessary, though, for health systems that are entering the world of analytics because the governance structure will enable the organizations to drive higher-quality, low cost care. In order for healthcare data governance to be most effective however, it needs to be adaptive because real healthcare data governance is much more fluid than any plan laid out on paper. Typically there are three phases that characterize successful analytics implementations: the early stage, the mid-term stage, and the steady state. As health systems begin to determine the effectiveness of their data governance strategy, it’s important to look at key metrics from their analytics implementations that will either trend up, remain solid, or trend down.
Analytics and Small Hospitals: Embracing Data to Thrive in the New Era of Val...Health Catalyst
Value-based care has remade the healthcare landscape for small hospitals. Many are struggling to compete with the larger, better-funded medical centers in the communities they serve. Embracing data and analytics is no longer a luxury for these organizations if they are to succeed and remain competitive. Data analysis can assist senior leaders in identifying opportunities for improvement while balancing long-term goals with short-term pressures. Incorporating data in to the culture and making it a part of everyday decision making will enable smaller hospitals to not only survive, but thrive in the new era of value-based care.
What Is the ROI of Investing in a Healthcare Data AnalystHealth Catalyst
Making the most of a healthcare data analyst’s knowledge is a key component to getting the best ROI from a hospital improvement project. But all too often, analysts serve merely as data validators — they justify the data that leadership wants validated. Because analysts aren’t decision makers, they don’t have the authority to ask the questions that can save a health system millions. Empowering analysts, however, enables them to ask the right questions — and find the right answers — that will lead to significant savings.
3 Frequent Mistakes in Healthcare Data AnalyticsHealth Catalyst
Healthcare organizations are recognizing the value of healthcare analytics, especially in their Big Data, population health management, or accountable care initiatives. This is good because without analytics it is difficult to impossible to run these programs successfully. That said, analytics are not the magic bullet and proper process must be in place. The three most common mistakes health systems makes with their healthcare analytics are: 1. Analytics Whiplash- when the analytics goes from one project to another without being able to fully understand the data and what it’s saying. 2. Coloring the Truth- When analysts don’t feel like they can be completely forthcoming with information and only give leadership the news they want to hear. 3. Deceitful Visualizations- Manipulating charts, graphs, and the like to reflect what the analyst or leadership wants the data to say, rather than what it actually says.
Best Practices in Implementing Population Health Health Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
The 4 Clinical Teams Needed to Drive Sustainable ImprovementHealth Catalyst
The document discusses the four clinical teams needed to drive sustainable quality improvement: a leadership team, guidance teams, outcome improvement teams, and workgroups. It states that these permanent, cross-functional teams are critical to accelerating organizational change. The teams are involved in developing goals and aim statements, analyzing data to select improvement areas, gaining approval for recommendations, and establishing workgroups to implement improvements through an iterative process. Sustainable clinical process improvement requires investment in a deployment system using this team structure.
Optimize physician workflow and you’ll contribute to optimizing patient care. But what is it physicians look for to improve diagnoses, decision-making, patient care, and ultimately, outcomes? To answer this, consider what constitutes ideal working conditions in any industry: the right tools, training, and information to maximize productivity and deliver results. Physicians need analytics integrated into the EHR to maximize their efficiency, a common quest among the chronically overworked. And by flowing the universe of global, local, and individual data back into an enterprise data warehouse, a healthcare system can close the analytics loop, and begin to realize true precision medicine.
Is That Data Valid? Getting Accurate Financial Data in HealthcareHealth Catalyst
A consolidated EDW is not a replacement or threat to the individual financial systems and reporting tools employed for general ledger, billing, payroll, or supply management. On the contrary, each of those systems is designed with sophisticated functionality that drives organizational efficiency. But alone, these systems realize only a portion of their true return on investment for the enterprise. As a consolidated data resource, these systems provide untold potential to address the underlying challenges to efficient, cost-effective health care.
3 Phases of Healthcare Data Governance in AnalyticsHealth Catalyst
Healthcare data governance is a broad topic and covers more than data stewardship, storage, and technical roles and responsibilities. And it’s not easy to implement. It’s necessary, though, for health systems that are entering the world of analytics because the governance structure will enable the organizations to drive higher-quality, low cost care. In order for healthcare data governance to be most effective however, it needs to be adaptive because real healthcare data governance is much more fluid than any plan laid out on paper. Typically there are three phases that characterize successful analytics implementations: the early stage, the mid-term stage, and the steady state. As health systems begin to determine the effectiveness of their data governance strategy, it’s important to look at key metrics from their analytics implementations that will either trend up, remain solid, or trend down.
Analytics and Small Hospitals: Embracing Data to Thrive in the New Era of Val...Health Catalyst
Value-based care has remade the healthcare landscape for small hospitals. Many are struggling to compete with the larger, better-funded medical centers in the communities they serve. Embracing data and analytics is no longer a luxury for these organizations if they are to succeed and remain competitive. Data analysis can assist senior leaders in identifying opportunities for improvement while balancing long-term goals with short-term pressures. Incorporating data in to the culture and making it a part of everyday decision making will enable smaller hospitals to not only survive, but thrive in the new era of value-based care.
What Is the ROI of Investing in a Healthcare Data AnalystHealth Catalyst
Making the most of a healthcare data analyst’s knowledge is a key component to getting the best ROI from a hospital improvement project. But all too often, analysts serve merely as data validators — they justify the data that leadership wants validated. Because analysts aren’t decision makers, they don’t have the authority to ask the questions that can save a health system millions. Empowering analysts, however, enables them to ask the right questions — and find the right answers — that will lead to significant savings.
3 Frequent Mistakes in Healthcare Data AnalyticsHealth Catalyst
Healthcare organizations are recognizing the value of healthcare analytics, especially in their Big Data, population health management, or accountable care initiatives. This is good because without analytics it is difficult to impossible to run these programs successfully. That said, analytics are not the magic bullet and proper process must be in place. The three most common mistakes health systems makes with their healthcare analytics are: 1. Analytics Whiplash- when the analytics goes from one project to another without being able to fully understand the data and what it’s saying. 2. Coloring the Truth- When analysts don’t feel like they can be completely forthcoming with information and only give leadership the news they want to hear. 3. Deceitful Visualizations- Manipulating charts, graphs, and the like to reflect what the analyst or leadership wants the data to say, rather than what it actually says.
Best Practices in Implementing Population Health Health Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
The 4 Clinical Teams Needed to Drive Sustainable ImprovementHealth Catalyst
The document discusses the four clinical teams needed to drive sustainable quality improvement: a leadership team, guidance teams, outcome improvement teams, and workgroups. It states that these permanent, cross-functional teams are critical to accelerating organizational change. The teams are involved in developing goals and aim statements, analyzing data to select improvement areas, gaining approval for recommendations, and establishing workgroups to implement improvements through an iterative process. Sustainable clinical process improvement requires investment in a deployment system using this team structure.
Optimize physician workflow and you’ll contribute to optimizing patient care. But what is it physicians look for to improve diagnoses, decision-making, patient care, and ultimately, outcomes? To answer this, consider what constitutes ideal working conditions in any industry: the right tools, training, and information to maximize productivity and deliver results. Physicians need analytics integrated into the EHR to maximize their efficiency, a common quest among the chronically overworked. And by flowing the universe of global, local, and individual data back into an enterprise data warehouse, a healthcare system can close the analytics loop, and begin to realize true precision medicine.
Data Driven Healthcare That Work: A Physician Group PerspectiveHealth Catalyst
Crystal Run Healthcare shares their story about using proven strategies to care for patients in an accountable care model by using data to drive those strategies. Gregory A. Spencer, MD, FACP, CMO, and CMIO at Crystal Run Healthcare discusses why they moved towards analytics and data warehousing as well as the 6 requirements their health system had as they searched for a partner: 1) The solution needed to hit the ground running. 2) The solution needed to provide quick, actionable data. 3) There needed to be a library of analytical applications. 4) The healthcare data model needed to be able to evolve. 5) They needed to be taught how to fish for the data. 6) A long-term relationship with the vendor was important
Develop Your Analysts and They'll Pay for ThemselvesHealth Catalyst
Healthcare organizations dream of analysts who can quickly build powerful reports and dashboards that turn simple data into insights. However, those technical and communication skills take years to develop and longer to refine. How do you make sure your organization is able to develop analysts into critical team members who can deliver outcomes improvement? In this webinar, you will learn what it takes to grow the analytical skills—including technical prowess and adaptive leadership—that are critical for transforming healthcare.
Russ and Peter will discuss:
The culture that leaders need to cultivate to foster improvement.
The skill sets that leaders need to encourage in their analysts.
The barriers that leaders should focus on eliminating to make it easier for analysts to succeed.
We look forward to you joining us.
Leveraging Healthcare Analytics to Reduce Heart Failure Readmission Rates Health Catalyst
Heart failure patients are adding an enormous strain to the US healthcare system. In addition, readmission rates for these diseases are adding to the burden. Healthcare analytics can play a key role. By following these 4 steps, all of which include data analytics, health systems can begin to reduce readmission rates: 1) Understand your true admission rates. 2) Establish reliable baseline measures. 3) Be aware of balance measures. 4) Establish an EDW.
Going Beyond Genomics in Precision Medicine: What's NextHealth Catalyst
Precision medicine processes, while involving genomics, are not confined to working with data about an individual’s genes, environment, and lifestyle. Precision medicine also means putting patients on the right path of care, taking into consideration other individual tolerances, such as participation and cost. Precision medicine processes incorporate data beyond the individual, pulling in socio-economic data, as well as relevant internal and external data, to create an entire patient data ecosystem. With reusable data modules, this information is processed within a closed-loop analytics framework to facilitate clinical decision making at the point of care. This optimizes clinical workflow, thus leading to more precise medicine.
The Modern Care Management Team: Tools and Strategies Evolve, but the Outcome...Health Catalyst
The care management team concept has evolved over the last decade to be more patient- and data-driven. Truly modern care management teams—those that represent the future of care management—provide team-based care that is carefully planned, comprehensive, highly coordinated, data driven, evidence based, seamless, and patient centric. But what’s equally important as being patient-centric and patient-driven, is relying on a comprehensive, effective care management system—a suite of tools with features in five core competencies:
Data integration.
Patient stratification and intake.
Care coordination.
Patient engagement.
Performance measurement.
As the industry’s care management teams continue to evolve (e.g., using predictive analytics to proactively identify patients), their primary goal remains: achieving optimal outcomes for the patients they serve.
The Power of Geo Analytics (and maps) to Improve Predictive Analytics in Heal...Health Catalyst
As far back as the 1840s, clinicians have been using maps to inform them about population health trends. Today, the geo-analytics industry is well-developed in almost every application, with the exception of healthcare and medicine. There is potential to use mapping technologies to show patient disease burden in geographic form, map locations of health care facilities, and a plethora of accountable care population health initiatives would benefit from geo-analysis. Health Catalyst is working to integrate inputs into analysis like maps that can show geographic care boundaries, population health demographics, and more.
How to Improve Clinical Programs by Breaking the Cycle of Waste in HealthcareHealth Catalyst
To succeed with value-based care, health systems must demonstrate to CMS they operate more effectively, efficiently, and safely. This requires organizations to identify and improve three types of waste commonly found in clinical programs: ordering waste, workflow and operational variations waste, and defect waste. Finding these areas, however, requires three critical solutions: an EDW, a KPA Application, and organizational readiness assessments.
Governance in Healthcare: Leadership for Successful ImprovementHealth Catalyst
Successful outcomes improvement in healthcare requires strong leadership to make decisions, allocate resources, and prioritize initiatives. For improvement to succeed and endure, health systems can’t leave any part of leadership to chance. Instead, effective governance requires thoughtful, deliberate development. Otherwise, improvement initiatives stall or fail to launch, as stakeholders debate goals and strategies. To succeed, governance structure must be solid enough to withstand any challenges to improvement initiatives—from resource constraints to skeptics. Effective governance in healthcare operates with four guiding principles:
Engage the right stakeholders.
Establish a shared understanding of objectives.
Align incentives and rules of engagement.
Practice disciplined prioritization.
The 6 Critical Components of Population HealthHealth Catalyst
This article examines how to define population health through a review of the top analytics research firms. It lands on a single theme, but in the process it uncovers six common categories of IT capabilities required to successfully manage population health:
Data Aggregation
Patient Stratification
Care Coordination
Patient Engagement
Performance Reporting
Administrative/Business
These six strategic components define the population health ecosystem, and successful organizations must multitask across these domains, working with an enterprise data warehouse, if they hope to thrive in value-based healthcare and become true partners and assets in their respective communities.
Engaging Physicians to Be Good Financial StewardsHealth Catalyst
This article, first published by in July 2016 by hfma, outlines how hospitals can get physicians to understand the financial impact of their clinical decisions and become actively engaged in improving the value of care. Texas Children’s Hospital was successful through recognizing the need for cultural transformation and ensuring quality came first. The organization engaged clinicians with financial data, including educating them on key financial principles, linking quality improvement training with financial accountability, and accompanying financial choices with clinical choices.
Breaking All the Rules: What the Leading Health Systems Do Differently with A...Health Catalyst
Voluntarily or not, we are entering the Age of Analytics in healthcare. As the healthcare industry emerges from the deployment of EMR’s and health information exchanges, enterprise data warehouses represent the next significant opportunity in information technology.
However, the meaningful use of an enterprise data warehouse is much more difficult to achieve than the meaningful use of an EMR. There are scant few organizations in healthcare that have achieved excellence in the “meaningful use” of an enterprise data warehouse.
Fortunate to see both failings and successes, Dale Sanders has spent the last 18 years analyzing the characteristics of healthcare analytics and data warehousing leadership. Join him as he shares his observations and lessons to help you and your organization become one of the success stories.
Presentation Covers:
Why C-level involvement is important, but not a guarantee of success, and can sometimes be a hindrance
The pivotal characteristics of culture, strategy, and execution that are critical to data warehousing and analytics success
How to balance tactical analytic victories without sacrificing strategic adaptability and scalability
Improving Patient Safety: Machine Learning Targets an Urgent ConcernHealth Catalyst
With over 400,000 patient-harm related deaths annually and costs of more the $1 billion, health systems urgently need ways to improve patient safety. One promising safety solution is patient harm risk assessment tools that leverage machine learning.
An effective patient safety surveillance tool has five core capabilities:
1. Identifies risk: provides concurrent daily surveillance for all-cause harm events in a health system population.
2. Stratifies patients at risk: places at-risk patients into risk categories (e.g., high, medium, and low risk).
3. Shows modifiable risk factors: by understanding patient risk factors that can be modified, clinicians know where to intervene to prevent harm.
4. Shows impactability: helps clinicians identify high-risk patients and prioritize treatment by patients who are most likely to benefit from preventive care.
5. Makes risk prediction accessible: integrates risk prediction into workflow tools for immediate access.
5 Keys to Improving Hospital Labor ProductivityHealth Catalyst
The shift to value-based payments and a greater focus outcomes and cost reduction has hospital leaders seeking new ways to work more efficiently and improve patient satisfaction. Monitoring and analyzing productivity more effectively is crucial to ensure healthcare organizations are aligned with this goal. Getting overtime and labor productivity under control isn’t an easy task, but it’s not impossible. A few best practices can shorten the learning curve. These include 1) secure leadership commitment, 2) implement data governance, 3) ensure financial targets are defined, 4) create transparency, and 5) keep productivity metric balanced with quality goals.
Aiding Analytics Adoption Via Metadata-Driven Architecture: If You Build It, ...Health Catalyst
A key feature of effective analytics infrastructure in healthcare is a metadata-driven architecture. In this article, three best practice scenarios are discussed:
Automating ETL processes so data analysts have more time to listen and help end users
Using a metadata repository to enhance data literacy among users and improve trust in data, thus enabling data governance policies
Improving turnaround time for data analysts who support frontline staff who, in turn, monitor interventions based on evidence-based medicine that is constantly changing
The article unravels the components of the metadata-driven architecture as part of an overall analytics platform. Learn the methodology for creating faster data results, generating speed to value, and realizing systemwide analytics adoption.
Partners’ Care Management Strategy: A 10-Year JourneyHealth Catalyst
Chronic diseases are responsible for seven out of 10 deaths each year, killing more than 1.7 million Americans annually. Additionally, 133 million Americans—approximately 45 percent of the population—have at least one chronic disease. Partners HealthCare believes that chronically ill patients with multiple medical conditions often need the most help coordinating their care, which is why this well-respected health system has spent the last 10 years perfecting an integrated care management program (iCMP).
Key elements of the iCMP at Partners include access to specialized resources (e.g., mental health, palliative care), involvement through the continuum of care, patient self-management, IT-enabled systems to improve care coordination, data-driven analytics to support strategic decision making, a payer-blind approach, and ongoing support and training for its teams and staff.
Attendees will learn how to:
Identify the essential elements of an effective care management program for chronically ill patients
Recognize how care management plays a key role in an effective population health management strategy
Determine how to use information to identify and effectively manage complex, chronically ill patients
Prioritizing Healthcare Projects to Optimize ROIHealth Catalyst
Healthcare organizations have long relied on traditional benchmarking to compare their performance to others and determine where they can do better; however, to identify the highest ROI improvement opportunities and understand how to take action, organizations need more comprehensive data.
Next-generation opportunity analysis tools, such as Health Catalyst® Touchstone™, use machine learning to identify projects with the greatest need for improvement and the greatest potential ROI. Because Touchstone determines prioritization with data from across the continuum of care, users can drive improvement decisions with information appropriate to their patient population and the domains they’re addressing.
The Top Seven Quick Wins You Get with a Healthcare Data WarehouseHealth Catalyst
In an industry known for its complex challenges that can take years to overcome, health systems can leverage healthcare data warehouses to generate seven quick wins—reporting and analytics efficiencies that empower healthcare organizations to thrive in a value-based world:
Provides significantly faster access to data.
Improves data-driven decision making.
Enables a data-driven culture.
Provides world class report automation.
Significantly improves data quality and accuracy.
Provides significantly faster product implementation.
Improves data categorization and organization.
Health systems that leverage healthcare data warehouses position themselves to do more than just survive the transition to value-based care; they empower themselves to achieve and sustain long-term outcomes improvement by enabling data-driven decision making based on high quality data.
Two-Midnight Rule: Ready For the Clock to Strike 12?Health Catalyst
CMS’s proposed changes to the controversial two-midnight rule that governs short hospital stays, has been met with strong opposition by the healthcare community. While the core of the rule is fairly straightforward, implementation could be anything but. Being classified as an outpatient or inpatient can have a substantial financial impact the patient and the hospital. Adding to the confusion, CMS has also stated this policy won’t override a physician’s judgment. Unfortunately, CMS failed to provide details on what the physician must provide in order to justify their decision. The good news is there is still time to provide feedback to CMS. Take action, understand the new rules, let your voice be heard, and most importantly, be prepared for the new rule in 2016.
Leading Adaptive Change to Create Value in HealthcareHealth Catalyst
In pursuit of the Triple Aim, healthcare leaders work hard to improve care, reduce costs, and improve the patient experience. But accomplishing these goals requires an engaged staff that makes progress, day in and day out. Adaptive Leadership (AL) principles help leaders understand human behavior to mobilize change and overcome work avoidance, which happens when staff operate above or below the productive zone of tension.
By understanding what adaptive work actually is (and that adaptive problems can’t be solved with technical fixes), and why work avoidance happens (because people are overwhelmed; the heat is too high), leaders can keep their teams engaged by using influence and leadership—not authority—to “lower the heat” on their people:
Validate the difficulty of the situation.
Simplify/clarify the work.
Provide additional resources (time, training, etc.)
Dr. Ulstad has worked with healthcare leaders and teams for the last 20 years to help them understand behaviors triggered by rapid, high-volume change, and apply AL principles to guide the changes critical to their organizations’ success.
Healthcare Transformation: The Journey of High-Value HealthcareHealth Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
7 Essential Practices for Data Governance in HealthcareHealth Catalyst
This document outlines 7 essential practices for data governance in healthcare. It discusses the growing value of healthcare data and importance of data governance. Effective data governance requires balancing broad vision with limited application and expanding only as needed. The key functions of data governance include enhancing data quality, increasing data content, encouraging data access, promoting data literacy, establishing standards for master reference data, prioritizing analytics, and managing master data. Maintaining high data quality, access, and literacy are crucial.
Finding the perfect data governance environment is an elusive target. It’s important to govern to the least extent necessary in order to achieve the greatest common good. With the three data governance cultures, authoritarian, tribal, and democratic, the latter is best for a balanced, productive governance strategy.
The Triple Aim of data governance is: 1) ensuring data quality, 2) building data literacy, and 3) maximizing data exploitation for the organization’s benefit. The overall strategy should be guided by these three principles under the guidance of the data governance committee.
Data governance committees need to be sponsored at the executive board and leadership level, with supporting roles defined for data stewards, data architects, database and systems administrators, and data analysts. Data governance committees need to avoid the most common failure modes: wandering, technical overkill, political infighting, and bureaucratic red tape.
Healthcare organizations that are undergoing analytics adoption will also go through six phases of data governance including: 1) establishing the tone for becoming a data-driven organization, 2) providing access to data, 3) establishing data stewards, 4) establishing a data quality program, 5) exploiting data for the benefit of the organization, 6) the strategic acquisition of data to benefit the organization.
As U.S. healthcare moves into its next stage of evolution, the organizations that will survive and thrive will be those who most effectively acquire, analyze, and utilize their data to its fullest extent. Such is the mission of data governance.
Data Driven Healthcare That Work: A Physician Group PerspectiveHealth Catalyst
Crystal Run Healthcare shares their story about using proven strategies to care for patients in an accountable care model by using data to drive those strategies. Gregory A. Spencer, MD, FACP, CMO, and CMIO at Crystal Run Healthcare discusses why they moved towards analytics and data warehousing as well as the 6 requirements their health system had as they searched for a partner: 1) The solution needed to hit the ground running. 2) The solution needed to provide quick, actionable data. 3) There needed to be a library of analytical applications. 4) The healthcare data model needed to be able to evolve. 5) They needed to be taught how to fish for the data. 6) A long-term relationship with the vendor was important
Develop Your Analysts and They'll Pay for ThemselvesHealth Catalyst
Healthcare organizations dream of analysts who can quickly build powerful reports and dashboards that turn simple data into insights. However, those technical and communication skills take years to develop and longer to refine. How do you make sure your organization is able to develop analysts into critical team members who can deliver outcomes improvement? In this webinar, you will learn what it takes to grow the analytical skills—including technical prowess and adaptive leadership—that are critical for transforming healthcare.
Russ and Peter will discuss:
The culture that leaders need to cultivate to foster improvement.
The skill sets that leaders need to encourage in their analysts.
The barriers that leaders should focus on eliminating to make it easier for analysts to succeed.
We look forward to you joining us.
Leveraging Healthcare Analytics to Reduce Heart Failure Readmission Rates Health Catalyst
Heart failure patients are adding an enormous strain to the US healthcare system. In addition, readmission rates for these diseases are adding to the burden. Healthcare analytics can play a key role. By following these 4 steps, all of which include data analytics, health systems can begin to reduce readmission rates: 1) Understand your true admission rates. 2) Establish reliable baseline measures. 3) Be aware of balance measures. 4) Establish an EDW.
Going Beyond Genomics in Precision Medicine: What's NextHealth Catalyst
Precision medicine processes, while involving genomics, are not confined to working with data about an individual’s genes, environment, and lifestyle. Precision medicine also means putting patients on the right path of care, taking into consideration other individual tolerances, such as participation and cost. Precision medicine processes incorporate data beyond the individual, pulling in socio-economic data, as well as relevant internal and external data, to create an entire patient data ecosystem. With reusable data modules, this information is processed within a closed-loop analytics framework to facilitate clinical decision making at the point of care. This optimizes clinical workflow, thus leading to more precise medicine.
The Modern Care Management Team: Tools and Strategies Evolve, but the Outcome...Health Catalyst
The care management team concept has evolved over the last decade to be more patient- and data-driven. Truly modern care management teams—those that represent the future of care management—provide team-based care that is carefully planned, comprehensive, highly coordinated, data driven, evidence based, seamless, and patient centric. But what’s equally important as being patient-centric and patient-driven, is relying on a comprehensive, effective care management system—a suite of tools with features in five core competencies:
Data integration.
Patient stratification and intake.
Care coordination.
Patient engagement.
Performance measurement.
As the industry’s care management teams continue to evolve (e.g., using predictive analytics to proactively identify patients), their primary goal remains: achieving optimal outcomes for the patients they serve.
The Power of Geo Analytics (and maps) to Improve Predictive Analytics in Heal...Health Catalyst
As far back as the 1840s, clinicians have been using maps to inform them about population health trends. Today, the geo-analytics industry is well-developed in almost every application, with the exception of healthcare and medicine. There is potential to use mapping technologies to show patient disease burden in geographic form, map locations of health care facilities, and a plethora of accountable care population health initiatives would benefit from geo-analysis. Health Catalyst is working to integrate inputs into analysis like maps that can show geographic care boundaries, population health demographics, and more.
How to Improve Clinical Programs by Breaking the Cycle of Waste in HealthcareHealth Catalyst
To succeed with value-based care, health systems must demonstrate to CMS they operate more effectively, efficiently, and safely. This requires organizations to identify and improve three types of waste commonly found in clinical programs: ordering waste, workflow and operational variations waste, and defect waste. Finding these areas, however, requires three critical solutions: an EDW, a KPA Application, and organizational readiness assessments.
Governance in Healthcare: Leadership for Successful ImprovementHealth Catalyst
Successful outcomes improvement in healthcare requires strong leadership to make decisions, allocate resources, and prioritize initiatives. For improvement to succeed and endure, health systems can’t leave any part of leadership to chance. Instead, effective governance requires thoughtful, deliberate development. Otherwise, improvement initiatives stall or fail to launch, as stakeholders debate goals and strategies. To succeed, governance structure must be solid enough to withstand any challenges to improvement initiatives—from resource constraints to skeptics. Effective governance in healthcare operates with four guiding principles:
Engage the right stakeholders.
Establish a shared understanding of objectives.
Align incentives and rules of engagement.
Practice disciplined prioritization.
The 6 Critical Components of Population HealthHealth Catalyst
This article examines how to define population health through a review of the top analytics research firms. It lands on a single theme, but in the process it uncovers six common categories of IT capabilities required to successfully manage population health:
Data Aggregation
Patient Stratification
Care Coordination
Patient Engagement
Performance Reporting
Administrative/Business
These six strategic components define the population health ecosystem, and successful organizations must multitask across these domains, working with an enterprise data warehouse, if they hope to thrive in value-based healthcare and become true partners and assets in their respective communities.
Engaging Physicians to Be Good Financial StewardsHealth Catalyst
This article, first published by in July 2016 by hfma, outlines how hospitals can get physicians to understand the financial impact of their clinical decisions and become actively engaged in improving the value of care. Texas Children’s Hospital was successful through recognizing the need for cultural transformation and ensuring quality came first. The organization engaged clinicians with financial data, including educating them on key financial principles, linking quality improvement training with financial accountability, and accompanying financial choices with clinical choices.
Breaking All the Rules: What the Leading Health Systems Do Differently with A...Health Catalyst
Voluntarily or not, we are entering the Age of Analytics in healthcare. As the healthcare industry emerges from the deployment of EMR’s and health information exchanges, enterprise data warehouses represent the next significant opportunity in information technology.
However, the meaningful use of an enterprise data warehouse is much more difficult to achieve than the meaningful use of an EMR. There are scant few organizations in healthcare that have achieved excellence in the “meaningful use” of an enterprise data warehouse.
Fortunate to see both failings and successes, Dale Sanders has spent the last 18 years analyzing the characteristics of healthcare analytics and data warehousing leadership. Join him as he shares his observations and lessons to help you and your organization become one of the success stories.
Presentation Covers:
Why C-level involvement is important, but not a guarantee of success, and can sometimes be a hindrance
The pivotal characteristics of culture, strategy, and execution that are critical to data warehousing and analytics success
How to balance tactical analytic victories without sacrificing strategic adaptability and scalability
Improving Patient Safety: Machine Learning Targets an Urgent ConcernHealth Catalyst
With over 400,000 patient-harm related deaths annually and costs of more the $1 billion, health systems urgently need ways to improve patient safety. One promising safety solution is patient harm risk assessment tools that leverage machine learning.
An effective patient safety surveillance tool has five core capabilities:
1. Identifies risk: provides concurrent daily surveillance for all-cause harm events in a health system population.
2. Stratifies patients at risk: places at-risk patients into risk categories (e.g., high, medium, and low risk).
3. Shows modifiable risk factors: by understanding patient risk factors that can be modified, clinicians know where to intervene to prevent harm.
4. Shows impactability: helps clinicians identify high-risk patients and prioritize treatment by patients who are most likely to benefit from preventive care.
5. Makes risk prediction accessible: integrates risk prediction into workflow tools for immediate access.
5 Keys to Improving Hospital Labor ProductivityHealth Catalyst
The shift to value-based payments and a greater focus outcomes and cost reduction has hospital leaders seeking new ways to work more efficiently and improve patient satisfaction. Monitoring and analyzing productivity more effectively is crucial to ensure healthcare organizations are aligned with this goal. Getting overtime and labor productivity under control isn’t an easy task, but it’s not impossible. A few best practices can shorten the learning curve. These include 1) secure leadership commitment, 2) implement data governance, 3) ensure financial targets are defined, 4) create transparency, and 5) keep productivity metric balanced with quality goals.
Aiding Analytics Adoption Via Metadata-Driven Architecture: If You Build It, ...Health Catalyst
A key feature of effective analytics infrastructure in healthcare is a metadata-driven architecture. In this article, three best practice scenarios are discussed:
Automating ETL processes so data analysts have more time to listen and help end users
Using a metadata repository to enhance data literacy among users and improve trust in data, thus enabling data governance policies
Improving turnaround time for data analysts who support frontline staff who, in turn, monitor interventions based on evidence-based medicine that is constantly changing
The article unravels the components of the metadata-driven architecture as part of an overall analytics platform. Learn the methodology for creating faster data results, generating speed to value, and realizing systemwide analytics adoption.
Partners’ Care Management Strategy: A 10-Year JourneyHealth Catalyst
Chronic diseases are responsible for seven out of 10 deaths each year, killing more than 1.7 million Americans annually. Additionally, 133 million Americans—approximately 45 percent of the population—have at least one chronic disease. Partners HealthCare believes that chronically ill patients with multiple medical conditions often need the most help coordinating their care, which is why this well-respected health system has spent the last 10 years perfecting an integrated care management program (iCMP).
Key elements of the iCMP at Partners include access to specialized resources (e.g., mental health, palliative care), involvement through the continuum of care, patient self-management, IT-enabled systems to improve care coordination, data-driven analytics to support strategic decision making, a payer-blind approach, and ongoing support and training for its teams and staff.
Attendees will learn how to:
Identify the essential elements of an effective care management program for chronically ill patients
Recognize how care management plays a key role in an effective population health management strategy
Determine how to use information to identify and effectively manage complex, chronically ill patients
Prioritizing Healthcare Projects to Optimize ROIHealth Catalyst
Healthcare organizations have long relied on traditional benchmarking to compare their performance to others and determine where they can do better; however, to identify the highest ROI improvement opportunities and understand how to take action, organizations need more comprehensive data.
Next-generation opportunity analysis tools, such as Health Catalyst® Touchstone™, use machine learning to identify projects with the greatest need for improvement and the greatest potential ROI. Because Touchstone determines prioritization with data from across the continuum of care, users can drive improvement decisions with information appropriate to their patient population and the domains they’re addressing.
The Top Seven Quick Wins You Get with a Healthcare Data WarehouseHealth Catalyst
In an industry known for its complex challenges that can take years to overcome, health systems can leverage healthcare data warehouses to generate seven quick wins—reporting and analytics efficiencies that empower healthcare organizations to thrive in a value-based world:
Provides significantly faster access to data.
Improves data-driven decision making.
Enables a data-driven culture.
Provides world class report automation.
Significantly improves data quality and accuracy.
Provides significantly faster product implementation.
Improves data categorization and organization.
Health systems that leverage healthcare data warehouses position themselves to do more than just survive the transition to value-based care; they empower themselves to achieve and sustain long-term outcomes improvement by enabling data-driven decision making based on high quality data.
Two-Midnight Rule: Ready For the Clock to Strike 12?Health Catalyst
CMS’s proposed changes to the controversial two-midnight rule that governs short hospital stays, has been met with strong opposition by the healthcare community. While the core of the rule is fairly straightforward, implementation could be anything but. Being classified as an outpatient or inpatient can have a substantial financial impact the patient and the hospital. Adding to the confusion, CMS has also stated this policy won’t override a physician’s judgment. Unfortunately, CMS failed to provide details on what the physician must provide in order to justify their decision. The good news is there is still time to provide feedback to CMS. Take action, understand the new rules, let your voice be heard, and most importantly, be prepared for the new rule in 2016.
Leading Adaptive Change to Create Value in HealthcareHealth Catalyst
In pursuit of the Triple Aim, healthcare leaders work hard to improve care, reduce costs, and improve the patient experience. But accomplishing these goals requires an engaged staff that makes progress, day in and day out. Adaptive Leadership (AL) principles help leaders understand human behavior to mobilize change and overcome work avoidance, which happens when staff operate above or below the productive zone of tension.
By understanding what adaptive work actually is (and that adaptive problems can’t be solved with technical fixes), and why work avoidance happens (because people are overwhelmed; the heat is too high), leaders can keep their teams engaged by using influence and leadership—not authority—to “lower the heat” on their people:
Validate the difficulty of the situation.
Simplify/clarify the work.
Provide additional resources (time, training, etc.)
Dr. Ulstad has worked with healthcare leaders and teams for the last 20 years to help them understand behaviors triggered by rapid, high-volume change, and apply AL principles to guide the changes critical to their organizations’ success.
Healthcare Transformation: The Journey of High-Value HealthcareHealth Catalyst
To manage population health, one needs to intimately understand the anatomy of healthcare and model how healthcare is delivered, in order to systematically improve healthcare outcomes. In this webinar, Dr. Burton draws on his 26-year executive career at Intermountain, Select Health, and Health Catalyst. He emphasizes the importance of linking administrative data (e.g., billing codes) to processes of clinical care to use the 80/20 principle to prioritize care processes within each venue to focus improvement initiatives on the things that matter most. He will also discuss a Clinical Integration framework to use in driving out waste by reducing variation in the ordering of care, the efficiency with which the care that is ordered is delivered and reducing defects in care delivery to make it safer.
7 Essential Practices for Data Governance in HealthcareHealth Catalyst
This document outlines 7 essential practices for data governance in healthcare. It discusses the growing value of healthcare data and importance of data governance. Effective data governance requires balancing broad vision with limited application and expanding only as needed. The key functions of data governance include enhancing data quality, increasing data content, encouraging data access, promoting data literacy, establishing standards for master reference data, prioritizing analytics, and managing master data. Maintaining high data quality, access, and literacy are crucial.
Finding the perfect data governance environment is an elusive target. It’s important to govern to the least extent necessary in order to achieve the greatest common good. With the three data governance cultures, authoritarian, tribal, and democratic, the latter is best for a balanced, productive governance strategy.
The Triple Aim of data governance is: 1) ensuring data quality, 2) building data literacy, and 3) maximizing data exploitation for the organization’s benefit. The overall strategy should be guided by these three principles under the guidance of the data governance committee.
Data governance committees need to be sponsored at the executive board and leadership level, with supporting roles defined for data stewards, data architects, database and systems administrators, and data analysts. Data governance committees need to avoid the most common failure modes: wandering, technical overkill, political infighting, and bureaucratic red tape.
Healthcare organizations that are undergoing analytics adoption will also go through six phases of data governance including: 1) establishing the tone for becoming a data-driven organization, 2) providing access to data, 3) establishing data stewards, 4) establishing a data quality program, 5) exploiting data for the benefit of the organization, 6) the strategic acquisition of data to benefit the organization.
As U.S. healthcare moves into its next stage of evolution, the organizations that will survive and thrive will be those who most effectively acquire, analyze, and utilize their data to its fullest extent. Such is the mission of data governance.
The Case for Healthcare Data Literacy: It's Not About Big DataHealth Catalyst
While many people are looking to Big Data to solve a lot of healthcare’s data problems, Big Data won’t offer a lot of solutions for a while to come. For one, healthcare doesn’t have “Big” data; there just isn’t the volume, velocity, or variety seen in other industries such as banking where Big Data has been used successfully. For another, Big Data seems to be the answer to almost every question from cancer to Alzheimer’s, and that’s blinding us to the reality of healthcare analytics. A big way toward answering healthcare’s problems would be to improve data literacy among not only consumers, but physicians and administrators as well. Learning to ask the right questions about the data and learning how to read data correctly will get us further down the road to improvement than the latest buzzword (in this case, “Big Data”) ever will.
Healthcare Analytics Careers: New Roles for the Brave, New World of Value-bas...Health Catalyst
Job titles can be leading indicators of the direction an industry is moving and the same holds true for healthcare. The new healthcare economic model—from fee-for-service (FFS) to value-based—is driving a change in roles and responsibilities for professionals seeking healthcare analytics careers. Motivated by CMS and commercial payers, healthcare organizations are realizing the need to find and hire new types of healthcare professionals, a Chief Population Health Officer or Vice President of Clinical Informatics, who are focused on value. Senior leaders are seeking to build teams that have the ability to bring together analytics, best-practice clinical content, and process improvement to create long-term, sustainable change across their healthcare systems.
Disease Surveillance Monitoring and Reacting to Outbreaks (like Ebola) with a...Health Catalyst
The current options for monitoring data to help identify disease outbreaks like Ebola are not great. These are: 1) Monitoring chief complaint/reason for admission data in ADT data streams. Although this is a real-time approach, the data is not codified and would require some degree of NLP. 2) Monitoring coded data collected in EHRs. The most precise option available, but the data is not available until after the patient encounter is closed, which would be too late in most cases. And 3) Monitoring billing data. This approach has the same problems as the two listed above, but it’s better than nothing in the absence of an EMR. All of these weaknesses can be solved with the use of a data warehouse.
5 Reasons Why Healthcare Data is Unique and Difficult to MeasureHealth Catalyst
Healthcare data is not linear. It is a complex, diverse beast unlike the data of any other industry. There are five ways in particular that make healthcare data unique:
1. Much of the data is in multiple places.
2. The data is structured and unstructured.
3. It has inconsistent and variable definitions; evidence-based practice and new research is coming out every day. 4. The data is complex.
5. Changing regulatory requirements.
The answer for this unpredictability and complexity is the agility of a late-binding Data Warehouse.
IMS Health Real-World Evidence BrochureIMSHealthRWES
IMS Health is a global healthcare company that provides real-world evidence solutions to solve healthcare challenges. They use large datasets, advanced technologies and methodologies, and strategic expertise. Their Real-World Evidence Solutions team has opportunities for scientists, researchers, data analysts, product developers, consultants, and marketers to help clients improve patient outcomes. Employees can gain global experience, see the impact of their work, and be rewarded in a meritocratic environment. In one example, they created an algorithm to help diagnose a rare disease faster by identifying high-risk patients.
Why Your Healthcare Business Intelligence Strategy Can't WinHealth Catalyst
Business intelligence may hold tremendous promise but it can’t answer healthcare’s challenges unless it’s built on the solid foundation of a clinical data warehouse. Learn the definition of business intelligence, why a clinical data warehouse is needed for any healthcare BI strategy, the various options in data warehousing, which one is most effective for hospitals and the industry and why.
Analytics and Small Hospitals: Embracing Data to Thrive in the New Era of Val...Health Catalyst
Value-based care has remade the healthcare landscape for small hospitals. Many are struggling to compete with the larger, better-funded medical centers in the communities they serve. Embracing data and analytics is no longer a luxury for these organizations if they are to succeed and remain competitive. Data analysis can assist senior leaders in identifying opportunities for improvement while balancing long-term goals with short-term pressures. Incorporating data in to the culture and making it a part of everyday decision making will enable smaller hospitals to not only survive, but thrive in the new era of value-based care.
4 Essential Lessons for Adopting Predictive Analytics in HealthcareHealth Catalyst
Predictive analytics is quite a popular current topic. Unfortunately, there are many potential side tracks or pit falls for those that do not approach this carefully. Fortunately for healthcare, there are numerous existing models from other industries that are very efficient at risk stratification in the realm of population management. David Crocket, PhD shares 4 key pitfalls to avoid for those beginning predictive analytics. These include
1) confusing data with insight
2) confusing insight with value
3) overestimating the ability to interpret the data
4) underestimating the challenge of implementation.
Big Data in Healthcare Made Simple: Where It Stands Today and Where It’s GoingHealth Catalyst
The document discusses big data in healthcare, where it currently stands and its future potential uses. It explains that while big data is not necessary for most healthcare organizations currently, emerging technologies like wearable devices and whole genome sequencing will generate large amounts of diverse data requiring big data solutions. It also outlines some barriers to big data adoption in healthcare like a lack of security and need for data science expertise. The document envisions future applications of big data like predictive analytics, using additional data sources to better predict patient outcomes and needs.
Eight Reasons Why Chief Data Officers Will Help Healthcare Organizations Thri...Health Catalyst
The state of healthcare information technology and analytics has evolved to the point where a revised executive structure is advisable in the C-suite. This new structure calls for a Chief Data Officer (CDO) to focus on extracting data from systems and on mining value from that data, rather than getting data into systems, which is the responsibility of the CIO.
This article makes the case for the CDO, explains how the need for this emerging role evolved, outlines its responsibilities, advises on how to recruit and budget for this position, and details its domain in eight critical business areas:
Governance and standards
Managing risk
Reducing costs
Driving innovation
Data architecture and technology
Data analytics
Meeting regulatory demand
Creating business value
The Changing Role of Healthcare Data AnalystsHealth Catalyst
The healthcare industry is undergoing a sea change, and healthcare data analysts will play a central role in this transformation. This report explores how the evolution to value-based care is changing the role of healthcare data analysts, how data analysts’ skills can best be applied to achieve value-based objectives and, finally, how Health Catalyst’s most successful health system clients are making this cultural transformation happen in the real world.
Delivering the Right Insight to the Right Person: How Workflow Automation Opt...Health Catalyst
While the EHR increases the legibility and comprehensiveness of patient health data and makes vital insights more accessible, digitized records also drive longer workflows and hard-to-manage data volumes. Fortunately, the healthcare digital environment today also makes effective data curation achievable. With an automated EHR workflow, healthcare data and analytics technology mines the data platform, bringing the value of digital documentation directly to team members. Automation of routine, repeatable tasks, paired with curation of the most important information in the chart, allows providers and patients to benefit from the wealth of digitized documentation, as workflows ensure the right person accesses the right insight at the right place and time.
This document discusses the transformation of healthcare systems to value-based care models and the role of data in enabling this transformation. Key points:
- Healthcare is transforming to focus on value-based care, population health management, and preventative care, which requires greater collaboration, data sharing, and data-driven decision making.
- Data is recognized as a critical enterprise asset, but many healthcare organizations struggle with poor data quality, lack of data visibility, and separating disparate data sources, hindering their ability to transform.
- True transformation requires treating data as a foundational asset and investing in people, processes and systems for enterprise information management. Leaders across clinical, business and IT functions must work together to harness the
Outsourced vs. In-house Healthcare Analytics: Pros and ConsHealth Catalyst
Healthcare analytics are essential for organizations to thrive in the new healthcare environment. Using analytics, systems can evaluate efficiency, effectiveness, and find improvement opportunities. There are two principal approaches: outsourcing the analytics function to benchmarking companies and providers of software-as-a-service; and doing analytics in-house with a system’s own data warehouse. The pros of outsourcing include gaining benchmarking access to how health system peers are performing. The cons to outsourcing include focusing too much high-level outcomes with no insight in how to effect change. The pros of in-house analytics include having quick access to fine-grained details of the data and being able to include clinicians in the implementation and development of the analytics process. A con is that in-house analytics can require significant resources – an investment in the right personnel and right technology.
Keynote by Jill Seidman, Director at Healthbox, about US digital healthcare investment trends and opportunities for the mHealth Israel meetup community
How To Avoid The 3 Most Common Healthcare Analytics Pitfalls And Related Inef...Health Catalyst
The document discusses three common pitfalls in healthcare analytics: 1) using point solutions that focus on single goals and data slices, 2) relying solely on electronic health record systems, and 3) having independent data marts in different databases. It recommends using an enterprise data warehouse to aggregate data from multiple sources into a single system of truth. The document also describes two common sources of inefficiency: the report factory approach and flavor-of-the-month approach, and recommends a robust deployment system to address these.
When Healthcare Data Analysts Fulfill the Data Detective RoleHealth Catalyst
There’s a new way to think about healthcare data analysts. Give them the responsibilities of a data detective. If ever there were a Sherlock Holmes of healthcare analytics, it’s the analyst who thinks like a detective. Part scientist, part bloodhound, part magician, the healthcare data detective thrives on discovery, extracting pearls of insight where others have previously returned emptyhanded. This valuable role comprises critical thinkers, story engineers, and sleuths who look at healthcare data in a different way. Three attributes define the data detective:
They are inquisitive and relentless with their questions.
They let the data inform.
They drive to the heart of what matters.
Innovative analytics leaders understand the importance of supporting the data analyst through the data detective career track, and the need to start developing this role right away in the pursuit of outcomes improvement in all healthcare domains.
Creating a Data-Driven Research Ecosystem with Patients at the CenterHealth Catalyst
As patient data because one of the healthcare industry’s most valuable assets, organizations are establishing new practices around accessing and handling data. In question is the practice of de-identifying patient data for widespread cross-organizational data collaboration without compromising patient privacy. But because deeper and richer data drives better clinical understanding and, ultimately, better outcomes, does separating patients from their health data and how it’s used give researchers and developers the best insights? Or do data users risk losing critical connection with the patients and insights into therapies their lives, disease, treatments, and deaths that contribute to new therapeutic approaches?
It’s time to consider a progressive approach to patient data that keeps the patients involved by informing them when and how their data is used to earn trust and engagement, making patients partners in data-driven healthcare transformation.
Similar to Why the Data Steward’s Role is Critical to Sustained Outcomes Improvement in Healthcare (20)
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
The document provides an overview of changes to CPT codes that will take effect in 2024, with a focus on changes relevant to clinical documentation. Key points include:
- There are 145 total codes added, 34 deleted, and 55 revised across various sections.
- Changes are provided for the Radiology, Laboratory/Pathology, and Category III sections. New codes are added for things like non-invasive coronary FFR estimation using AI and various intraoperative ultrasound exams.
- Guidelines are established for new genomic sequencing procedures codes focusing on solid organ and hematolymphoid neoplasms. Definitions are also provided for various genomic analysis techniques.
- Several Tier I and Tier II molecular
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
Three new codes were added to describe procedures involving a short-term external heart assist system inserted into the descending thoracic aorta. Codes were also added for fluorescence guided procedures of the female reproductive system and trunk region using pafolacianine. Additionally, new technology codes were introduced for insertion of intraluminal devices such as venous valves, leadless pacemakers, and artery bypass procedures.
Vitalware Insight Into the 2024 ICD10 CM Updates.pdfHealth Catalyst
This document provides an overview of upcoming changes to ICD-10-CM codes for fiscal year 2024. It notes that there will be 395 new codes, 13 revisions, and 25 deletions. Specific changes include 18 new major complication or comorbidity (MCC) codes, 3 deleted MCC codes, 79 new CC codes, and 8 deleted CC codes. The presentation reviews code additions, deletions, and revisions for various body systems and disease chapters. It also outlines changes to the MCC and CC lists as well as Medicare Severity Diagnosis Related Groups (MS-DRG) updates.
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
The document discusses tech-enabled managed services (TEMS) as an alternative to traditional outsourcing. TEMS aims to reduce costs for health systems while maintaining performance, employees, and culture. It achieves this through specialized partnering, alleviating financial pressures, and ensuring dependable performance using a combination of people, processes, technology, and data. TEMS rebadges existing employees and takes on open positions to prevent workforce reductions. It also maintains existing processes while implementing new technology. This model is said to create wins for Health Catalyst through new employees, the health system through reduced costs and governed performance, and employees through continued work and an improved experience.
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.
COPD Treatment in Ghatkopar,Mumbai. Dr Kumar DoshiDr Kumar Doshi
Are you or a loved one affected by Chronic Obstructive Pulmonary Disease (COPD)? Discover comprehensive and advanced treatment options with Dr. Kumar Doshi, a preeminent COPD specialist based in Ghatkopar, Mumbai.
Dr. Kumar Doshi is dedicated to delivering the highest standard of care for COPD patients. Whether you are seeking a diagnosis, a second opinion, or exploring new treatment avenues, this presentation will guide you through the exceptional services available at his practice in Ghatkopar, Mumbai.
At Malayali Kerala Spa Ajman, Full Service includes individualized care for every client. We specifically design each massage session for the individual needs of the client. Our therapists are always willing to adjust the treatments based on the client's instruction and feedback. This guarantees that every client receives the treatment they expect.
By offering a variety of massage services, our Ajman Spa Massage Center can tackle physical, mental, and emotional illnesses. In addition, efficient identification of specific health conditions and designing treatment plans accordingly can significantly enhance the quality of massaging.
At Malayali Kerala Spa Ajman, we firmly believe that everyone should have the option to experience top-quality massage services regularly. To achieve that goal we offer cheap massage services in Ajman.
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At Apollo Hospital, Lucknow, U.P., we provide specialized care for children experiencing dehydration and other symptoms. We also offer NICU & PICU Ambulance Facility Services. Consult our expert today for the best pediatric emergency care.
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Gemma Wean- Nutritional solution for Artemiasmuskaan0008
GEMMA Wean is a high end larval co-feeding and weaning diet aimed at Artemia optimisation and is fortified with a high level of proteins and phospholipids. GEMMA Wean provides the early weaned juveniles with dedicated fish nutrition and is an ideal follow on from GEMMA Micro or Artemia.
GEMMA Wean has an optimised nutritional balance and physical quality so that it flows more freely and spreads readily on the water surface. The balance of phospholipid classes to- gether with the production technology based on a low temperature extrusion process improve the physical aspect of the pellets while still retaining the high phospholipid content.
GEMMA Wean is available in 0.1mm, 0.2mm and 0.3mm. There is also a 0.5mm micro-pellet, GEMMA Wean Diamond, which covers the early nursery stage from post-weaning to pre-growing.
This particular slides consist of- what is Pneumothorax,what are it's causes and it's effect on body, risk factors, symptoms,complications, diagnosis and role of physiotherapy in it.
This slide is very helpful for physiotherapy students and also for other medical and healthcare students.
Here is a summary of Pneumothorax:
Pneumothorax, also known as a collapsed lung, is a condition that occurs when air leaks into the space between the lung and chest wall. This air buildup puts pressure on the lung, preventing it from expanding fully when you breathe. A pneumothorax can cause a complete or partial collapse of the lung.
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - ...rightmanforbloodline
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - 34.
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - 34.
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - 34.
This particular slides consist of- what is hypotension,what are it's causes and it's effect on body, risk factors, symptoms,complications, diagnosis and role of physiotherapy in it.
This slide is very helpful for physiotherapy students and also for other medical and healthcare students.
Here is the summary of hypotension:
Hypotension, or low blood pressure, is when the pressure of blood circulating in the body is lower than normal or expected. It's only a problem if it negatively impacts the body and causes symptoms. Normal blood pressure is usually between 90/60 mmHg and 120/80 mmHg, but pressures below 90/60 are generally considered hypotensive.
Healthy Eating Habits:
Understanding Nutrition Labels: Teaches how to read and interpret food labels, focusing on serving sizes, calorie intake, and nutrients to limit or include.
Tips for Healthy Eating: Offers practical advice such as incorporating a variety of foods, practicing moderation, staying hydrated, and eating mindfully.
Benefits of Regular Exercise:
Physical Benefits: Discusses how exercise aids in weight management, muscle and bone health, cardiovascular health, and flexibility.
Mental Benefits: Explains the psychological advantages, including stress reduction, improved mood, and better sleep.
Tips for Staying Active:
Encourages consistency, variety in exercises, setting realistic goals, and finding enjoyable activities to maintain motivation.
Maintaining a Balanced Lifestyle:
Integrating Nutrition and Exercise: Suggests meal planning and incorporating physical activity into daily routines.
Monitoring Progress: Recommends tracking food intake and exercise, regular health check-ups, and provides tips for achieving balance, such as getting sufficient sleep, managing stress, and staying socially active.
The facial nerve, also known as cranial nerve VII, is one of the 12 cranial nerves originating from the brain. It's a mixed nerve, meaning it contains both sensory and motor fibres, and it plays a crucial role in controlling various facial muscles, as well as conveying sensory information from the taste buds on the anterior two-thirds of the tongue.
Letter to MREC - application to conduct studyAzreen Aj
Application to conduct study on research title 'Awareness and knowledge of oral cancer and precancer among dental outpatient in Klinik Pergigian Merlimau, Melaka'
Comprehensive Rainy Season Advisory: Safety and Preparedness Tips.pdfDr Rachana Gujar
The "Comprehensive Rainy Season Advisory: Safety and Preparedness Tips" offers essential guidance for navigating rainy weather conditions. It covers strategies for staying safe during storms, flood prevention measures, and advice on preparing for inclement weather. This advisory aims to ensure individuals are equipped with the knowledge and resources to handle the challenges of the rainy season effectively, emphasizing safety, preparedness, and resilience.
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A Fit-to-Fly PCR Test is a crucial service for travelers needing to meet the entry requirements of various countries or airlines. This test involves a polymerase chain reaction (PCR) test for COVID-19, which is considered the gold standard for detecting active infections. At our travel clinic in Leeds, we offer fast and reliable Fit to Fly PCR testing, providing you with an official certificate verifying your negative COVID-19 status. Our process is designed for convenience and accuracy, with quick turnaround times to ensure you receive your results and certificate in time for your departure. Trust our professional and experienced medical team to help you travel safely and compliantly, giving you peace of mind for your journey.