Jim Adams, Executive Director, The Advisory Board, discusses the two market forces in particular, population health management and the retail revolution, that are driving the need for new applications of analytics and business intelligence (BI).
Attendees will learn:
The role of analytics in population health and the growing retail market
The key challenges provider organizations are facing in developing analytics capabilities
The pros and cons of the core strategies providers are utilizing to develop analytics capabilities and the vendors that map to those strategies
Bring your most pressing healthcare problems and spend an hour listening to one of the most seasoned industry analysts talking through the top forces shifting the landscape of the healthcare market in 2015.
We hope you'll come away with some insight and refined thinking about solutions that will drive your work forward. Please do join us.
Landmark Review of Population Health ManagementHealth Catalyst
Population health management (PHM) is in its early stages of maturity, suffering from inconsistent definitions and understanding, overhyped by vendors and ill-defined by the industry. Healthcare IT vendors are labeling themselves with this new and popular term, quite often simply re-branding their old-school, fee-for-service, and encounter-based analytic solutions. Even the analysts —KLAS, Chilmark, IDC, and others—are also having a difficult time classifying the market. In this paper, I identify and define 12 criteria that any health system will want to consider in evaluating population health management companies. The reality of the market is that there is no single vendor that can provide a complete PHM solution today. However there are a group of vendors that provide a subset of capabilities that are certainly useful for the next three years. In this paper, I discuss the criteria and try my best to share an unbiased evaluation of sample of the PHM companies in this space.
How to Evaluate a Clinical Analytics Vendor: A ChecklistHealth Catalyst
Based on 25 years of healthcare IT experience, Dale outlines a detailed set of criteria for evaluating clinical analytic vendors. These criteria include 1) completeness of vision, 2) culture and values of senior leadership, 3) ability to execute, 4) technology adaptability and supportability, 5) total cost of ownership, 6) company viability, and 7) nine elements of technical specificity including data modeling, master data management, metadata, white space data, visualization, security, ETL, performance and utilization metrics, hardware and software infrastructure.
Healthcare Total Cost of Care Analysis: A Vital ToolHealth Catalyst
How can healthcare organizations set themselves up for success as the industry shifts from fee-for-service to value-based reimbursement? They need to understand risk of their patients and population to identify ways to reduce healthcare costs and improve quality of care. This makes total cost of care (TCOC) analysis a necessary skillset in this time of transition.
TCOC analysis leverages key elements of the healthcare analytics infrastructure to understand how money is being spent at the organization and identify the drivers of high cost:
An integrated EDW.
Payer reporting tools.
Claims and membership data.
Predictive capabilities.
Risk scores.
Scorecards and dashboards.
Analyst support.
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.
6 Essential Data Analyst Skills for Your Healthcare OrganizationHealth Catalyst
Healthcare organizations are turning to the enterprise data warehouse (EDW) as the foundation of their analytics strategy. But simply implementing an EDW doesn’t guarantee an organization’s success. One obstacle organizations come up against is that their analytics team members don’t have the right skills to maximize the effectiveness of the EDW. The following six skills are essential for analytics team members: structured query language (SQL); the ability to perform export, transform, and load (ETL) processes; data modeling; data analysis; business intelligence (BI) reporting; and the ability to tell a story with data.
Why Most Analytic Applications Will Never Be Able to Significantly Improve He...Health Catalyst
The availability of healthcare IT solutions can be overwhelming and all promise to solve an organization’s most pressing issues. While typical data and analytic applications are excellent at exposing opportunities for improvement that are impacting the bottom line, most are not effective at helping the organization determine what to do to address them and improve outcomes. However, a new approach to creating analytics applications is emerging. Analytics applications that incorporate best practices clinical content along with the best practices visualizations help everyone understand the problem and the solution. These applications also enable clinicians to better understand, adopt, roll out, and execute outcome improvement initiatives with healthcare systems. Health Catalyst has deliberately created a comprehensive, dynamic suite of applications that integrate clinical content and facilitate the orderly implementation of action plans.
Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...Health Catalyst
Crystal Run Healthcare — a physician-led Accountable Care Organization (ACO) and one of the first ACOs to participate in the Medicare Shared Savings Program — is experiencing the long-anticipated shift toward more value-based reimbursement.
To ensure financial stability as they assume more risk, Crystal Run is implementing a strategy focused on rapid growth and aligning physician reimbursement with favorable patient outcomes. To effectively execute on this strategy they knew they needed to become more data-driven. Webinar attendees will learn how this ACO is using advanced analytics to execute on their population management and growth strategies with a focus on continuous improvement in the following areas:
Ensuring patient care aligns with evidence based practices
Reducing inappropriate clinical variation
Enhancing operational efficiency
Analyzing data from a “single source of truth” integrated from their EMR, billing, costing, patient satisfaction and other operational systems
Making “self-service analytics” available to decision-makers to decrease time to decision
Please join Greg Spencer, MD, Chief Medical & Chief Medical Information Officer and Scott Hines, MD, Chief Quality Officer and Medical Specialties Medical Director, Crystal Run, as they discuss how advanced analytics is helping position the ACO for continued success in an increasingly value-based reimbursement environment.
Reducing Unwanted Variation in Healthcare Clears the Way for Outcomes Improve...Health Catalyst
According to statistician W. Edwards Deming, “Uncontrolled variation is the enemy of quality.” The statement is particularly true of outcomes improvement in healthcare, where variation threatens quality across processes and outcomes. To improve outcomes, health systems must recognize where and how inconsistency impacts their outcomes and reduce unwanted variation.
There are three key steps to reducing unwanted variation:
Remove obstacles to success on a communitywide level.
Maintain open lines of communication and share lessons learned.
Decrease the magnitude of variation.
Landmark Review of Population Health ManagementHealth Catalyst
Population health management (PHM) is in its early stages of maturity, suffering from inconsistent definitions and understanding, overhyped by vendors and ill-defined by the industry. Healthcare IT vendors are labeling themselves with this new and popular term, quite often simply re-branding their old-school, fee-for-service, and encounter-based analytic solutions. Even the analysts —KLAS, Chilmark, IDC, and others—are also having a difficult time classifying the market. In this paper, I identify and define 12 criteria that any health system will want to consider in evaluating population health management companies. The reality of the market is that there is no single vendor that can provide a complete PHM solution today. However there are a group of vendors that provide a subset of capabilities that are certainly useful for the next three years. In this paper, I discuss the criteria and try my best to share an unbiased evaluation of sample of the PHM companies in this space.
How to Evaluate a Clinical Analytics Vendor: A ChecklistHealth Catalyst
Based on 25 years of healthcare IT experience, Dale outlines a detailed set of criteria for evaluating clinical analytic vendors. These criteria include 1) completeness of vision, 2) culture and values of senior leadership, 3) ability to execute, 4) technology adaptability and supportability, 5) total cost of ownership, 6) company viability, and 7) nine elements of technical specificity including data modeling, master data management, metadata, white space data, visualization, security, ETL, performance and utilization metrics, hardware and software infrastructure.
Healthcare Total Cost of Care Analysis: A Vital ToolHealth Catalyst
How can healthcare organizations set themselves up for success as the industry shifts from fee-for-service to value-based reimbursement? They need to understand risk of their patients and population to identify ways to reduce healthcare costs and improve quality of care. This makes total cost of care (TCOC) analysis a necessary skillset in this time of transition.
TCOC analysis leverages key elements of the healthcare analytics infrastructure to understand how money is being spent at the organization and identify the drivers of high cost:
An integrated EDW.
Payer reporting tools.
Claims and membership data.
Predictive capabilities.
Risk scores.
Scorecards and dashboards.
Analyst support.
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.
6 Essential Data Analyst Skills for Your Healthcare OrganizationHealth Catalyst
Healthcare organizations are turning to the enterprise data warehouse (EDW) as the foundation of their analytics strategy. But simply implementing an EDW doesn’t guarantee an organization’s success. One obstacle organizations come up against is that their analytics team members don’t have the right skills to maximize the effectiveness of the EDW. The following six skills are essential for analytics team members: structured query language (SQL); the ability to perform export, transform, and load (ETL) processes; data modeling; data analysis; business intelligence (BI) reporting; and the ability to tell a story with data.
Why Most Analytic Applications Will Never Be Able to Significantly Improve He...Health Catalyst
The availability of healthcare IT solutions can be overwhelming and all promise to solve an organization’s most pressing issues. While typical data and analytic applications are excellent at exposing opportunities for improvement that are impacting the bottom line, most are not effective at helping the organization determine what to do to address them and improve outcomes. However, a new approach to creating analytics applications is emerging. Analytics applications that incorporate best practices clinical content along with the best practices visualizations help everyone understand the problem and the solution. These applications also enable clinicians to better understand, adopt, roll out, and execute outcome improvement initiatives with healthcare systems. Health Catalyst has deliberately created a comprehensive, dynamic suite of applications that integrate clinical content and facilitate the orderly implementation of action plans.
Preparing for the Future: How one ACO is Using Analytics to Drive Clinical & ...Health Catalyst
Crystal Run Healthcare — a physician-led Accountable Care Organization (ACO) and one of the first ACOs to participate in the Medicare Shared Savings Program — is experiencing the long-anticipated shift toward more value-based reimbursement.
To ensure financial stability as they assume more risk, Crystal Run is implementing a strategy focused on rapid growth and aligning physician reimbursement with favorable patient outcomes. To effectively execute on this strategy they knew they needed to become more data-driven. Webinar attendees will learn how this ACO is using advanced analytics to execute on their population management and growth strategies with a focus on continuous improvement in the following areas:
Ensuring patient care aligns with evidence based practices
Reducing inappropriate clinical variation
Enhancing operational efficiency
Analyzing data from a “single source of truth” integrated from their EMR, billing, costing, patient satisfaction and other operational systems
Making “self-service analytics” available to decision-makers to decrease time to decision
Please join Greg Spencer, MD, Chief Medical & Chief Medical Information Officer and Scott Hines, MD, Chief Quality Officer and Medical Specialties Medical Director, Crystal Run, as they discuss how advanced analytics is helping position the ACO for continued success in an increasingly value-based reimbursement environment.
Reducing Unwanted Variation in Healthcare Clears the Way for Outcomes Improve...Health Catalyst
According to statistician W. Edwards Deming, “Uncontrolled variation is the enemy of quality.” The statement is particularly true of outcomes improvement in healthcare, where variation threatens quality across processes and outcomes. To improve outcomes, health systems must recognize where and how inconsistency impacts their outcomes and reduce unwanted variation.
There are three key steps to reducing unwanted variation:
Remove obstacles to success on a communitywide level.
Maintain open lines of communication and share lessons learned.
Decrease the magnitude of variation.
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.
A Five-Step Audit for Peak Charge Capture PerformanceHealth Catalyst
As health systems strive for financial growth and stability in a pandemic and shifting healthcare market, leaders often overlook a key opportunity to maximize profit margins for services rendered—a charge capture audit. A charge capture audit takes a deep dive into the charge capture process, exposing root causes of costly errors and suboptimal processes.
These five steps derive critical insight to help health systems apply interventions and restore revenue integrity:
1. Set the standard.
2. Measure current practice against the standard.
3. Compare the results at the standard to practice.
4. Change the practice to best practice.
5. Re-audit.
Why We Need to Shift Healthcare Quality Measures from Volume to ValueHealth Catalyst
Healthcare quality reporting is integral to achieving the Triple Aim and improving outcomes. But the sheer volume of quality measures has become as much a part of healthcare as healing and prevention. Recently, CMS and AHIP took the unprecedented step of aligning and consolidating measures in seven care categories. This will go a long way toward reducing the amount of time physicians and staff spend every week on quality reporting, but it’s only a beginning. Healthcare’s focus needs to shift from volume to value of quality measures, such as those that concentrate on quality of life and patient-reported outcomes. The International Consortium for Health Outcomes Measurement is setting the right example for quality measures designed to actually improve outcomes rather than just processes.
Turn Research Into Care Delivery Improvements Using the Research Analytics Ad...Health Catalyst
Research is a complex yet vital component of improving care delivery, and it can be hindered by a variety of organizational and technical roadblocks:
Insufficient tools and processes
Poor infrastructure
No single source of truth for data
Health systems can overcome these common research roadblocks and turn analytics-powered research into care delivery improvements by using the Research Analytics Adoption model as a strategic roadmap.
The model consists of 8 levels designed to align operations and research priorities:
De-identified tools and data marts
Delivery of customized data sets
EDW-facilitated study recruitment
Centralized, research-specific data collection
Automated research operations reporting
Biobank/genomic data integration
Multi-site data sharing
Translational Analytics
Tackle These 8 Challenges of MACRA Quality MeasuresHealth Catalyst
The Medicare Access and CHIP Reauthorization Act (MACRA) appears to be a reporting challenge for many healthcare provider systems with few resources for managing the menagerie of measures. Indeed, with more than 270 measures in play, many systems have yet to jump in, but the deadline is inevitable. A plan of action is possible by recognizing and acting on these eight challenge areas:
Challenge #1: High-level performance insight
Challenge #2: Defining measure specifications
Challenge #3: Data quality reporting requirements
Challenge #4: Benchmarking data
Challenge #5: Proactively increasing measures surveillance to enhance outcomes
Challenge #6: Strategically aligning measures on which to base risk
Challenge #7: Identifying measures with the largest financial impact
Challenge #8: Taking risk in multi-year, value-based contracts
Mid-to-large size provider groups need a strategy around MACRA quality measures and a tool to help them make sense of all the reporting requirements.
How to Choose the Best Healthcare Analytics Software Solution in a Crowded Ma...Health Catalyst
There’s a new trend in the healthcare industry to adopt analytics software solutions to help organizations achieve clinical and financial success. Because of the high demand for analytics, there are many players touting their ability to delivery comprehensive solutions. With so many options available, health systems need to be able to cut through the marketing hype to find tools that provide the best value for their needs. Key solutions include an enterprise data warehouse and analytics software applications (from foundational to discovery to advanced). Other considerations include the organization’s readiness for cultural change, the total cost of ownership required, and the viability of the company providing the technology.
Healthcare Dashboards: 3 Keys for Creating Effective and Insightful Executive...Health Catalyst
As the use of data-driven Key Performance Indicators (KPIs) increases, healthcare organizations are adopting Executive Dashboards to track organizational performance. While dashboards deliver insight and identify areas for improvement, they fail to make the data actionable and the value is often offset by the unproductive fire drills and churn they create. There are three keys to create and deploy insightful and effective dashboards successfully:
1. Aggregation of underlying dashboards to create the executive dashboard
2. Establishment of clear ownership and accountability
3. Sustainable process
The Top Five Recommendations for Improving the Patient ExperienceHealth Catalyst
Improving patient satisfaction scores and the overall patient experience of care is a top priority for health systems. It’s a key quality domain in the CMS Hospital Value-Based Purchasing (VBP) Program (25 percent) and it’s an integral part of the IHI Triple Aim. But, despite the fact that health systems realize the importance of improving the patient experience of care, they often use patient satisfaction as a driver for outcomes. This article challenges this notion, instead recommending that they use patient satisfaction as a balance measure; one of five key recommendations for improving the patient experience:
Use patient satisfaction as a balance measure—not a driver for outcomes.
Evaluate entire care teams—not individual providers.
Use healthcare analytics to understand and act on data.
Leverage innovative technology.
Improve employee engagement.
This article also explains why patient experience is so closely tied to quality of care, and why it’s a prime indicator of a healthcare organization’s overall health.
Outcomes improvement: what you get when you mix good data with physician enga...Health Catalyst
The prescription for improving healthcare outcomes is pretty straightforward: improve quality by working with good data that’s based on patient perceptions of quality, as well as functional health outcomes. Then make that data accessible and actionable among your physicians and give them the leeway they need to reduce variation and, ultimately, improve outcomes. As simple as this may seem, it’s been complicated by an inefficient data infrastructure with non-standardized components (EHRs) and the inability to distribute analyses and visualizations where they are needed most (at the point of care). Dale Sanders explains these issues in detail and outlines solutions in this article published in the April 2015 edition of BMJ Outcomes.
Amplify Your Organization’s Revenue Opportunities: Introducing Health Catalys...Health Catalyst
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.
Against the Odds: How this Small Community Hospital Used Six Strategies to Su...Health Catalyst
The constant thread weaving through every healthcare organizational strategy should be adherence to the Triple Aim. But with uncertainty generated by the changes at the federal level, healthcare organizations may be tempted to put their value-based care plans on hold. This article explains why that’s not necessary and lists six strategies for thriving under a fee-for-value model: 1.) Use Leadership and Team Structure to Support Improvement 2.) Drive Down Costs 3.) Reduce Unnecessary Waste 4.) Encourage the Learning Organization 5.) Prioritize Patient Education 6.) Track Data and Outcomes This blog cites one small medical center with odds stacked against it, and how it is managing to not only weather the changes, but also distinguish itself by staying true to the values of the Triple Aim.
Healthcare Visualizations: Are You Getting the Entire StoryHealth Catalyst
The emergence of powerful and user-friendly healthcare data visualization programs has transformed analytical reporting. The amount of information conveyed by all types of graphs, symbols, sizes, and colors is staggering. The ability to “drill down” in real-time with increasing levels of granularity enables all manner of analyses. The downside of this data hunger is the creation of simplified, context-free visualizations which may inadvertently lead to misinterpretations, most often in the form of a false positive (believing a change has occurred that really hasn’t). This often leads to knee-jerk reactions to correct the “change” and unnecessary actions being taken that waste time, effort, and money. Avoiding the most common pitfalls will ensure your organization has the most complete picture to drive meaningful change.
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.
4 Best Practices for Analyzing Healthcare DataHealth Catalyst
Meaningful healthcare analytics today generally need data from multiple source systems to help address the triple aim cost, quality, and patient satisfaction. Once appropriate data has been captured, pulled into a single place, and tied together, then data analysis can begin. In this article I share 4 ways to enable your analyst including providing them with
1) a data warehouse
2) a sandbox
3) a set of discovery tools
4) the right kind of direction.
How to Find the Best Interventions for Clinical Quality ImprovementHealth Catalyst
How can health systems avoid just talking about improvement and instead achieve real progress in clinical quality performance? First, improvement teams need access to a robust data infrastructure that can provide a complete picture of performance. This analytic insight reveals process gaps and opportunity areas where the care team can target improvement efforts.
After selecting an opportunity area, care teams are ready to follow the three-step process to achieve meaningful clinical improvement:
1. The “why”: Identify the outcome goal.
2. The “what”: Select a written, measurable, and time-sensitive process metric to evaluate the process.
3. The “how”: Identify the best interventions that will support the desired change in a process.
Why Precise, Tailored Patient Registries Lead to Cost-Effective Care Manageme...Health Catalyst
Early this year, CMS began a per member per month reimbursement for Medicare beneficiaries with two or more chronic conditions. It immediately validated the need for care management programs. Three models are used to measure the savings of an effective care management program:
Historical or intent-to-treat design
Matching comparison design
Randomized control design
All three place a heavy reliance on data and precise, tailored patient registries. Reliable patient registries are one of the most valuable tools in the care management toolbox. And the means to that reliability is an enterprise data warehouse, which essentially gives program managers an all-access pass to stratifying patient risk and leads to a more successful population health initiative.
Population Health Success: Three Ways to Leverage DataHealth Catalyst
As the healthcare industry continues to focus on value, rather than volume, health systems are faced with delivering quality care to large populations with limited resources. To implement population health initiatives and deliver results, it is critical that care teams build population health strategies on actionable, up-to-date data. Health systems can better leverage data within population health and drive long-lasting change by implementing three small changes:
Increase team members’ access to data.
Support widespread data utilization.
Implement one source of data truth.
Access to accurate, reliable data boosts population health efforts while maintaining cost and improving outcomes. With actionable analytics providing insight and guiding decisions, population health teams can drive real change within their patient populations.
Surviving Value-Based Purchasing in Healthcare: Connecting Your Clinical and ...Health Catalyst
Reducing healthcare costs is a major driving force in bundled payments, home-centered medical care, and accountable care organizations. But each new delivery model is built on the premise of reducing revenue per patient. So how can a health system win? Find out what you can do financially survive in today’s environment.
Linking Clinical And Financial Data: The Key To Real Quality And Cost OutHealth Catalyst
Since accountable care took the healthcare industry by a storm in 2010, health systems have had to move from their predictable revenue streams based on volume to a model that includes quality measures. While the switch will ultimately improve both quality and cost outcomes, health systems now need the capability of tracking and analyzing the data from both clinical and financial systems. A late-binding enterprise data warehouse provides the flexible architecture that makes it possible to liberate both kinds of data to link it together to provide a full picture of trends and opportunities.
Is Value-Based Healthcare Here to Stay? Looking for Answers in New PoliciesHealth Catalyst
Healthcare leaders are eager for a modicum of clarity when it comes to the industry’s shift to value-based healthcare given the uncertainties of Congress and the new Administration.
Fortunately, an analysis of three key pieces of information tells us value-based healthcare is likely here to stay:
The 21st Century Cures Act (Cures).
The Executive Order on reducing the “burden” of the Affordable Care Act (ACA).
Tom Price’s comments at his confirmation hearings.
It is a relatively safe bet that value-based healthcare delivery and payment programs will continue to be supported by federal law and regulation for several reasons:
Bipartisan support: The success of Cures indicates that bipartisan cooperation will continue on key healthcare issues.
Market-based innovation: The emerging evidence is that Congress and the Administration will support innovation in payment and delivery models.
Support for Existing ACA Innovation programs: Although highly uncertain, there are some indications that not all of the ACA will be scrapped.
Tracxn Healthcare Analytics Landscape Report, September 2016Tracxn
In 2016, the healthcare analytics sector saw a significant consolidation activity with 14 major acquisitions, the largest being IBM's acquisition of Truven Health Analytics for $2.6B in February.
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.
A Five-Step Audit for Peak Charge Capture PerformanceHealth Catalyst
As health systems strive for financial growth and stability in a pandemic and shifting healthcare market, leaders often overlook a key opportunity to maximize profit margins for services rendered—a charge capture audit. A charge capture audit takes a deep dive into the charge capture process, exposing root causes of costly errors and suboptimal processes.
These five steps derive critical insight to help health systems apply interventions and restore revenue integrity:
1. Set the standard.
2. Measure current practice against the standard.
3. Compare the results at the standard to practice.
4. Change the practice to best practice.
5. Re-audit.
Why We Need to Shift Healthcare Quality Measures from Volume to ValueHealth Catalyst
Healthcare quality reporting is integral to achieving the Triple Aim and improving outcomes. But the sheer volume of quality measures has become as much a part of healthcare as healing and prevention. Recently, CMS and AHIP took the unprecedented step of aligning and consolidating measures in seven care categories. This will go a long way toward reducing the amount of time physicians and staff spend every week on quality reporting, but it’s only a beginning. Healthcare’s focus needs to shift from volume to value of quality measures, such as those that concentrate on quality of life and patient-reported outcomes. The International Consortium for Health Outcomes Measurement is setting the right example for quality measures designed to actually improve outcomes rather than just processes.
Turn Research Into Care Delivery Improvements Using the Research Analytics Ad...Health Catalyst
Research is a complex yet vital component of improving care delivery, and it can be hindered by a variety of organizational and technical roadblocks:
Insufficient tools and processes
Poor infrastructure
No single source of truth for data
Health systems can overcome these common research roadblocks and turn analytics-powered research into care delivery improvements by using the Research Analytics Adoption model as a strategic roadmap.
The model consists of 8 levels designed to align operations and research priorities:
De-identified tools and data marts
Delivery of customized data sets
EDW-facilitated study recruitment
Centralized, research-specific data collection
Automated research operations reporting
Biobank/genomic data integration
Multi-site data sharing
Translational Analytics
Tackle These 8 Challenges of MACRA Quality MeasuresHealth Catalyst
The Medicare Access and CHIP Reauthorization Act (MACRA) appears to be a reporting challenge for many healthcare provider systems with few resources for managing the menagerie of measures. Indeed, with more than 270 measures in play, many systems have yet to jump in, but the deadline is inevitable. A plan of action is possible by recognizing and acting on these eight challenge areas:
Challenge #1: High-level performance insight
Challenge #2: Defining measure specifications
Challenge #3: Data quality reporting requirements
Challenge #4: Benchmarking data
Challenge #5: Proactively increasing measures surveillance to enhance outcomes
Challenge #6: Strategically aligning measures on which to base risk
Challenge #7: Identifying measures with the largest financial impact
Challenge #8: Taking risk in multi-year, value-based contracts
Mid-to-large size provider groups need a strategy around MACRA quality measures and a tool to help them make sense of all the reporting requirements.
How to Choose the Best Healthcare Analytics Software Solution in a Crowded Ma...Health Catalyst
There’s a new trend in the healthcare industry to adopt analytics software solutions to help organizations achieve clinical and financial success. Because of the high demand for analytics, there are many players touting their ability to delivery comprehensive solutions. With so many options available, health systems need to be able to cut through the marketing hype to find tools that provide the best value for their needs. Key solutions include an enterprise data warehouse and analytics software applications (from foundational to discovery to advanced). Other considerations include the organization’s readiness for cultural change, the total cost of ownership required, and the viability of the company providing the technology.
Healthcare Dashboards: 3 Keys for Creating Effective and Insightful Executive...Health Catalyst
As the use of data-driven Key Performance Indicators (KPIs) increases, healthcare organizations are adopting Executive Dashboards to track organizational performance. While dashboards deliver insight and identify areas for improvement, they fail to make the data actionable and the value is often offset by the unproductive fire drills and churn they create. There are three keys to create and deploy insightful and effective dashboards successfully:
1. Aggregation of underlying dashboards to create the executive dashboard
2. Establishment of clear ownership and accountability
3. Sustainable process
The Top Five Recommendations for Improving the Patient ExperienceHealth Catalyst
Improving patient satisfaction scores and the overall patient experience of care is a top priority for health systems. It’s a key quality domain in the CMS Hospital Value-Based Purchasing (VBP) Program (25 percent) and it’s an integral part of the IHI Triple Aim. But, despite the fact that health systems realize the importance of improving the patient experience of care, they often use patient satisfaction as a driver for outcomes. This article challenges this notion, instead recommending that they use patient satisfaction as a balance measure; one of five key recommendations for improving the patient experience:
Use patient satisfaction as a balance measure—not a driver for outcomes.
Evaluate entire care teams—not individual providers.
Use healthcare analytics to understand and act on data.
Leverage innovative technology.
Improve employee engagement.
This article also explains why patient experience is so closely tied to quality of care, and why it’s a prime indicator of a healthcare organization’s overall health.
Outcomes improvement: what you get when you mix good data with physician enga...Health Catalyst
The prescription for improving healthcare outcomes is pretty straightforward: improve quality by working with good data that’s based on patient perceptions of quality, as well as functional health outcomes. Then make that data accessible and actionable among your physicians and give them the leeway they need to reduce variation and, ultimately, improve outcomes. As simple as this may seem, it’s been complicated by an inefficient data infrastructure with non-standardized components (EHRs) and the inability to distribute analyses and visualizations where they are needed most (at the point of care). Dale Sanders explains these issues in detail and outlines solutions in this article published in the April 2015 edition of BMJ Outcomes.
Amplify Your Organization’s Revenue Opportunities: Introducing Health Catalys...Health Catalyst
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.
Against the Odds: How this Small Community Hospital Used Six Strategies to Su...Health Catalyst
The constant thread weaving through every healthcare organizational strategy should be adherence to the Triple Aim. But with uncertainty generated by the changes at the federal level, healthcare organizations may be tempted to put their value-based care plans on hold. This article explains why that’s not necessary and lists six strategies for thriving under a fee-for-value model: 1.) Use Leadership and Team Structure to Support Improvement 2.) Drive Down Costs 3.) Reduce Unnecessary Waste 4.) Encourage the Learning Organization 5.) Prioritize Patient Education 6.) Track Data and Outcomes This blog cites one small medical center with odds stacked against it, and how it is managing to not only weather the changes, but also distinguish itself by staying true to the values of the Triple Aim.
Healthcare Visualizations: Are You Getting the Entire StoryHealth Catalyst
The emergence of powerful and user-friendly healthcare data visualization programs has transformed analytical reporting. The amount of information conveyed by all types of graphs, symbols, sizes, and colors is staggering. The ability to “drill down” in real-time with increasing levels of granularity enables all manner of analyses. The downside of this data hunger is the creation of simplified, context-free visualizations which may inadvertently lead to misinterpretations, most often in the form of a false positive (believing a change has occurred that really hasn’t). This often leads to knee-jerk reactions to correct the “change” and unnecessary actions being taken that waste time, effort, and money. Avoiding the most common pitfalls will ensure your organization has the most complete picture to drive meaningful change.
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.
4 Best Practices for Analyzing Healthcare DataHealth Catalyst
Meaningful healthcare analytics today generally need data from multiple source systems to help address the triple aim cost, quality, and patient satisfaction. Once appropriate data has been captured, pulled into a single place, and tied together, then data analysis can begin. In this article I share 4 ways to enable your analyst including providing them with
1) a data warehouse
2) a sandbox
3) a set of discovery tools
4) the right kind of direction.
How to Find the Best Interventions for Clinical Quality ImprovementHealth Catalyst
How can health systems avoid just talking about improvement and instead achieve real progress in clinical quality performance? First, improvement teams need access to a robust data infrastructure that can provide a complete picture of performance. This analytic insight reveals process gaps and opportunity areas where the care team can target improvement efforts.
After selecting an opportunity area, care teams are ready to follow the three-step process to achieve meaningful clinical improvement:
1. The “why”: Identify the outcome goal.
2. The “what”: Select a written, measurable, and time-sensitive process metric to evaluate the process.
3. The “how”: Identify the best interventions that will support the desired change in a process.
Why Precise, Tailored Patient Registries Lead to Cost-Effective Care Manageme...Health Catalyst
Early this year, CMS began a per member per month reimbursement for Medicare beneficiaries with two or more chronic conditions. It immediately validated the need for care management programs. Three models are used to measure the savings of an effective care management program:
Historical or intent-to-treat design
Matching comparison design
Randomized control design
All three place a heavy reliance on data and precise, tailored patient registries. Reliable patient registries are one of the most valuable tools in the care management toolbox. And the means to that reliability is an enterprise data warehouse, which essentially gives program managers an all-access pass to stratifying patient risk and leads to a more successful population health initiative.
Population Health Success: Three Ways to Leverage DataHealth Catalyst
As the healthcare industry continues to focus on value, rather than volume, health systems are faced with delivering quality care to large populations with limited resources. To implement population health initiatives and deliver results, it is critical that care teams build population health strategies on actionable, up-to-date data. Health systems can better leverage data within population health and drive long-lasting change by implementing three small changes:
Increase team members’ access to data.
Support widespread data utilization.
Implement one source of data truth.
Access to accurate, reliable data boosts population health efforts while maintaining cost and improving outcomes. With actionable analytics providing insight and guiding decisions, population health teams can drive real change within their patient populations.
Surviving Value-Based Purchasing in Healthcare: Connecting Your Clinical and ...Health Catalyst
Reducing healthcare costs is a major driving force in bundled payments, home-centered medical care, and accountable care organizations. But each new delivery model is built on the premise of reducing revenue per patient. So how can a health system win? Find out what you can do financially survive in today’s environment.
Linking Clinical And Financial Data: The Key To Real Quality And Cost OutHealth Catalyst
Since accountable care took the healthcare industry by a storm in 2010, health systems have had to move from their predictable revenue streams based on volume to a model that includes quality measures. While the switch will ultimately improve both quality and cost outcomes, health systems now need the capability of tracking and analyzing the data from both clinical and financial systems. A late-binding enterprise data warehouse provides the flexible architecture that makes it possible to liberate both kinds of data to link it together to provide a full picture of trends and opportunities.
Is Value-Based Healthcare Here to Stay? Looking for Answers in New PoliciesHealth Catalyst
Healthcare leaders are eager for a modicum of clarity when it comes to the industry’s shift to value-based healthcare given the uncertainties of Congress and the new Administration.
Fortunately, an analysis of three key pieces of information tells us value-based healthcare is likely here to stay:
The 21st Century Cures Act (Cures).
The Executive Order on reducing the “burden” of the Affordable Care Act (ACA).
Tom Price’s comments at his confirmation hearings.
It is a relatively safe bet that value-based healthcare delivery and payment programs will continue to be supported by federal law and regulation for several reasons:
Bipartisan support: The success of Cures indicates that bipartisan cooperation will continue on key healthcare issues.
Market-based innovation: The emerging evidence is that Congress and the Administration will support innovation in payment and delivery models.
Support for Existing ACA Innovation programs: Although highly uncertain, there are some indications that not all of the ACA will be scrapped.
Tracxn Healthcare Analytics Landscape Report, September 2016Tracxn
In 2016, the healthcare analytics sector saw a significant consolidation activity with 14 major acquisitions, the largest being IBM's acquisition of Truven Health Analytics for $2.6B in February.
www.panorama.com
Panorama Necto uncovers the hidden insights in your data and presents them in beautiful dashboards powered with KPI Alerts, which is managed by a the most secure, centralized & state of the art BI solution.
Three Confluence Deployments That Will Blow You AwayAtlassian
There are lots of great Confluence deployment stories. And then there are a few that are just mind-blowing. This session highlights three incredible Confluence deployments that will make your head turn.
Customer Speakers: Nate Nash of BearingPoint, Tim Colson of Cisco, Connie Taylor of Premier Inc
Key Takeaways:
* Incredible Confluence examples
* Innovative uses of a wiki and enterprise collaboration
What does the future hold for pharmacy benefit managers (PBMs)?
This webinar discusses:
How to better manage patients;
Advantages of formulary ownership;
Is PBM transparency an answer to controlling drug costs?
How to better understand data and what is really important.
EXPERT PRESENTERS
Ken Dowell, SVP, Excelsior Solutions; Chairman, Pharmacy Analytics Board
Mike Moloney, VP, Supply Chain Emerging Services Operations, Premier Inc
The 10th Annual Utah Health Services Research Conference: Data: What's available and how we are use it is changing. By: Danielle A. Lloyd, MPH - Premier
Health Services Research Conference: March 16, 2015
Patient Centered Research Methods Core, University of Utah, CCTS
This is the HSCIC's draft five-year strategy. A consultation is now open, until February 27th, to gather your feedback. Please have your say and help to shape our future. http://bit.ly/16o8zfk
The Expansion and Acceleration of Value-Based CarePremier Inc.
This presentation highlights the rapid shift to value-based care that's occurring in the healthcare industry and was originally presented at Premier's annual Governance Conference.
Case study from MedImpact for UAF. Learn about how FIDO-enabled products using UAF have helped MedImpact reach their goals in achieving simple and secure authentication.
IBM Healthcare Business Analytics solutions including Cognos, TM1 and SPSS. How healthcare challenges are met and costs are optimized through the use of Data Visualizations, Performance Management, and Predictive Analytics.
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
The Foundations of Success in Population Health ManagementHealth Catalyst
From hospital systems to large employers, organizations are increasingly taking on financial risk for the health of populations. Drivers of this trend include the update to the MSSP model, the recent CMS Primary Cares Initiative announcement, the increasing prevalence of the Medicare Advantage model, innovative partnerships in the self-insured employer space, and the proliferation of Medicaid ACOs. Yet while market pressures push organizations toward population risk, they don't necessarily help them succeed: most organizations are struggling to attain or sustain the dual imperatives of high-quality care and cost containment. A primary reason? Short-sighted and tactical approaches that don't provide the flexible data infrastructure and tools to adapt to emerging trends in population health—or to support short-term contractual requirements while building toward long-term success.
View this launch webinar to learn about Health Catalyst’s Population Health Foundations solution, a data and analytics-first starter set aimed at optimizing performance in value-based risk arrangements and providing the data ecosystem that will flex and adapt to complex needs of risk-bearing organizations. Solution services ensure that the strategic value of data is maximized to improve performance in risk contracts—and provide side-by-side subject matter expert partnership for establishing short- and long-term goals for population health management (PHM).
Built on Health Catalyst’s foundational technology and supported by the nationwide experience and perspective of its experts, the Population Health Foundations solution helps organizations leverage multiple data sources to understand their patient populations and create meaningful views of financial and clinical quality performance. As a starter set that organizations can build on based on their needs, the solution is designed to compensate for the known limitations of “black box” population health applications that fail to reveal the “why” of analytic insights and exacerbate the challenges of transforming quality, cost, and care. The Population Health Foundations solution delivers the essential analytic tools needed for success under value-based risk arrangements.
In these slides you can expect to:
- Review recent changes to the field of value-based care, and reactions and insights from the market
- Discover how the Population Health Foundations solution can act as a comprehensive, data-first analytics solution to support your population stratification and monitoring needs
- Understand how this solution functions as a foundational starter set for value-based care success, enabling clients to leverage all their data and other relevant population health tools
Medical Practices’ Survival Depends on Four Analytics StrategiesHealth Catalyst
With limited resources compared to large healthcare organizations and fewer personnel to shoulder burdens like COVID-19, medical practices must find ways to deliver better care with less. Delivering quality care, especially in a pandemic, is challenging, but analytics insight can guide effective care delivery methods, especially for smaller practices.
Comprehensive data combined with team members who can turn numbers into real-world information are essential for medical practices to ensure a strong financial, clinical, and operational future. Independent medical practices can rely on four analytics strategies to survive the uncertain healthcare market and plan for a sustainable future:
Prioritize access to up-to-date, comprehensive data sources.
Form a multidisciplinary approach to data governance.
Translate data into analytics insight.
Invest in analytics infrastructure to support rapid response.
Putting Patients Back at the Center of Healthcare: How CMS Measures Prioritiz...Health Catalyst
Today’s healthcare encounters are too often marked by more clinician screen time than patient-clinician engagement. Increasing regulatory reporting burdens are diverting clinician attention from their true priority—the patient. To put patients back at the center of care, CMS introduced its Meaningful Measures framework in 2017. The initiative identifies the highest priorities for quality measurement and improvement, with the goal of aligning measures with CMS strategic goals, including the following:
Empowering patients and clinicians to make decisions about their healthcare.
Supporting innovative approaches to improve quality, safety, accessibility, and affordability.
Principles and Pracitces of Accountable Care TransformationHealth Catalyst
Facing the most sweeping payment transformation in history, healthcare systems are balancing two competing mandates: build the competencies needed to succeed under value-based payment models while remaining financially viable in the current fee-for-service landscape. Across the next decade, changing payment models will drive a fundamental transformation in care delivery, emphasizing dramatically lower costs and improvements in quality. While this final destination is clear, today’s health care leaders face high stakes and a great deal of uncertainty as they architect the path for their organizations' survival and success not only under value-based payment, but—critically—during the transition period.
Join Marie Dunn, Director of Analytics, as she outlines the key near-term priorities for health care organizations transitioning to value-based payment models, with a particular focus on the importance of leveraging data to drive effective decision making. She will also use Health Catalyst solutions to demonstrate these principles.
Marie will cover:
State of the transition from fee-for-service to value-based payment models
Near-term priorities for organizations looking to build the competencies to successfully manage at-risk contracts, including:
At-risk contract management: monitor performance against contractual requirements and leverage data to drive payer negotiations.
Network management: reduce leakage and improve referral patterns and network composition.
Care management: focus care team efforts by leveraging data to identify the patients in greatest need of support.
Performance monitoring: identify opportunities to improve performance on quality measures, like the ACO quality measures.
Strategies for balancing near-term priorities with long-term efforts to drive care transformation across the delivery system
ACOs and CINs — Where Did They Start, How Have They Evolved, and Where Are Th...Health Catalyst
As the types and structures of Accountable Care Organizations (ACOs) and Clinically Integrated Networks (CINs) continue to evolve, organizations moving into value-based care face an ever-changing landscape. Alternative payment model arrangements have driven provider organizations to hone in on specific tactics to meet their contractual and strategic objectives.
Please join Health Catalyst Senior Vice President Dr. Amy Flaster and Population Health Management Consultant Jonas Varnum as they discuss the evolution of the ACO and CIN models, what new tools ACOs employ today to promote success, and lessons learned from organizations that have succeeded in alternative payment models. They will dive deep into lessons learned in addition to providing a primer on what has always been and continues to be vitally important to success in value based care. Specifics they will cover include:
- Approaches to simplify quality metric reporting
- Enhanced methodology that zeroes in on identifying high-value opportunities to improve patient populations
- Key tips to expand your business with new contracts
Dr. Flaster and Mr. Varnum’s combined experience make them uniquely qualified to guide you in your ACO or CIN journey. Dr. Flaster comes from a clinical background where she worked as Associate Medical Director at Partners HealthCare - one of the largest ACOs in the country. Mr. Varnum is a professional services strategy leader with demonstrated expertise delivering payment model transformation and helping providers and payers to strategically adjust their operations.
How Providers Can Reshape their Operations to Master Value-Based ReimbursementsCognizant
Healthcare providers must make sweeping system, process and operational changes to thrive under the inevitable move to value-based payments. Here are our recommendations on how to get started.
Patient Engagement: The Next Wave of Change in Healthcare ITCascadia Capital
Patient Engagement is one of the fastest growing sub verticals in Healthcare. Is it really going to solve some of the big issues plaguing the Healthcare system? We think so.
Healthcare Financial Transformation: Five Leading StrategiesHealth Catalyst
Healthcare financial transformation—improving care delivery while lowering costs—has been an ongoing challenge for health systems in the era of value-based care and an even more prominent concern amid COVID-19. While better care and reduced expense to organizations and consumers might seem like opposing goals, by understanding the true cost of services and other drivers of expense, organizations can successfully manage costs while maintaining, and even improving, care delivery. To that end, health systems can use data- and analytics-driven tools and strategies to addresses financial challenges, including uncompensated care, prolonged accounts receivable days, discharged not final billed cases, inefficient resource use, and more.
The transformation towards more integrated and accountable healthcare delivery systems is aligning physicians, outpatient care, hospitals and ultimately payers in unprecedented numbers. Yet creating a successful clinically integrated network can be a daunting and complicated undertaking.
Yale New Haven Health System (YNHHS), a nonprofit academic medical center, is following a seven-phase plan to achieve a regional, clinically integrated network with the ultimate goal of population health management.
Conifer Health President of Value-Based Care, Megan North and Gayle Capozzalo, FACHE Executive Vice President/Chief Strategy Officer, Yale New Haven Health System (YNHHS), co-presented at the the Becker’s Hospital Review 7th Annual Meeting in Chicago. North and Capozzalo shared “A Seven-Step Approach to a Clinically Integrated Network,” to provide insights into each step of the clinical integration road map.
Presentation on payment reform and changing models given at 2016 Ziegler National Senior Living CFO Workshop, April 6-8, 2016 at The Sheraton New Orleans Hotel.
Clinical Integration: The Foundation for Accountable Care - Presentation delivered by Keynote Speaker Marvin O’Quinn, Senior Executive Vice President and Chief Operating Officer, Dignity Health at the National Healthcare CXO Summit held in Las Vegas Oct 19-21, 2014.
Similar to Preparing for the Coming Change: An Overview of the Healthcare Analytics Market (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
Each year the CPT and the HCPCS code sets undergo significant changes, and your staff needs to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted, and revised CPT codes and associated guidelines for 2024. This is part one in a three-part series, with a CDM focus.
During these complimentary webinars, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. This presentation will be geared towards hospital staff with a focus on the non-surgical sections of the CPT book.
What’s Next for Hospital Price Transparency in 2024 and BeyondHealth Catalyst
The Centers for Medicare & Medicaid Services (CMS) published updates to the hospital price transparency requirements in the CY 2024 Outpatient Prospective Payment System (OPPS) Final Rule. The updates will be phased in over the next 14 months and include several significant changes including the use of a CMS-mandated template, a requirement for an affirmation statement from the hospital, and several new data elements. Join us to discover what changes are scheduled for implementation in 2024 and 2025 and how they’ll impact your facility.
During this complimentary 60-minute webinar, we’ll analyze the key provisions of the Price Transparency regulations and provide insights to help you prepare for the upcoming changes.
Automated Patient Reported Outcomes (PROs) for Hip & Knee ReplacementHealth Catalyst
What was once voluntary reporting will soon be made mandatory with penalties.
On July 1, 2024, all health systems will be required to collect Patient Reported Outcome Measures (PROM) as part of the Centers for Medicare & Medicaid Services (CMS) regulation for the following measures:
Hospital-Level, Risk Standardized Patient-Reported Outcomes Performance Measure (PRO-PM) Following Elective Primary Total Hip Arthroplasty (THA) and/or Total Knee Arthroplasty (TKA)
Hospital-Level Risk-Standardized Complication Rate (RSCR) Following Elective Primary THA/TKA
Are you equipped to handle these new requirements?
Mandatory data collection begins April 1, 2024, and failure to submit timely data can result in a 25 percent reduction in payments by Medicare.
Attend this webinar to learn how mobile engagement can empower your organization to meet this requirement.
2024 Medicare Physician Fee Schedule (MPFS) Final Rule UpdatesHealth Catalyst
According to the Centers for Medicare & Medicaid Services (CMS), the calendar year (CY) 2024 MPFS final rule was created to advance health equity and improve access to affordable healthcare. This webinar will cover the major policy updates of the MPFS final rule including updates to the telehealth services policy and remote monitoring services and enrollment of MFTs and MHCs as Medicare providers. The conversation will also cover policy changes on split (or shared) evaluation and management (E/M) visits, and the Appropriate Use Criteria (AUC) for Advanced Diagnostic Imaging.
What's Next for OPPS: A Look at the 2024 Final RuleHealth Catalyst
During this webinar, we’ll analyze the key provisions of the OPPS final rule and identify the significant changes for the coming year to help prepare your staff for compliance with the 2024 Medicare outpatient billing guidelines.
Insight into the 2024 ICD-10 PCS Updates - Part 2Health Catalyst
Prepare for mandatory ICD-10 PCS diagnosis code updates, which take effect on October 1, 2023. By attending this 60-minute educational session, medical coders and healthcare professionals will gain a comprehensive understanding of the changes to the 2024 ICD-10 procedure codes and their guidelines, enabling accurate and compliant coding for optimal billing and reimbursement.
Vitalware Insight Into the 2024 ICD10 CM Updates.pdfHealth Catalyst
Prepare for mandatory ICD-10 CM diagnosis code updates, which take effect on October 1, 2023. By attending this 60-minute educational session, medical coders and healthcare professionals will gain a comprehensive understanding of the changes to the 2024 ICD-10 diagnosis codes and their guidelines, along with major complication or comorbidity (MCC), complication or comorbidity (CC), and Medicare Severity Diagnosis Related Groups (MS-DRGs) classification changes. With this information, professionals can ensure accurate and compliant diagnosis coding for optimal billing and reimbursement.
Driving Value: Boosting Clinical Registry Value Using ARMUS SolutionsHealth Catalyst
Many hospitals today face a perfect storm of operational and financial challenges. With increasing competition from outpatient facilities and rising care costs negatively impacting budgets, now is the time to boost your clinical registry’s value. However, collecting and analyzing data can be time-consuming and costly without the right tools. During this webinar, we will share insights and best practices for increasing the value of registry participation and how it’s possible to reduce costs while improving outcomes using the ARMUS Product Suite.
Tech-Enabled Managed Services: Not Your Average OutsourcingHealth Catalyst
During this webinar you'll learn the following:
The importance of optimizing performance, reducing labor costs and sourcing talent given current market challenges.
Highlighting the need for a balanced approach to cost reduction.
How to reap the benefits of outsourcing (cost cutting, expertise, etc) while protecting yourself from the collateral damage that often comes with them.
This webinar will provide an in-depth review of the CPT/HCPCS code set changes that will be effective on July 1, 2023. The review will include additions and deletions to the CPT/HCPCS code set, revisions of code descriptors, payment changes, and rationale behind the changes.
How Managing Chronic Conditions Is Streamlined with Digital TechnologyHealth Catalyst
Chronic conditions across the United States are prevalent and continue to rise. Managing one or more chronic diseases can be very challenging for patients who may be overwhelmed or confused about their care plan and may not have access to the resources they need. At the same time, care teams are overburdened, making it difficult to provide the support these patients require to stay as healthy as possible. A new approach to chronic condition management leverages technology to enable organizations to scale high-quality care, identify gaps in care, provide personalized support, and monitor patients on an ongoing basis. Such streamlined management will result in better outcomes, reduced costs, and more satisfied patients.
COVID-19: After the Public Health Emergency EndsHealth Catalyst
In this fast-paced webinar, we will discuss the impact of the end of the public health emergency (PHE), including upcoming changes to the different flexibilities allowed during the PHE and the timeline for when these flexibilities will end. We’ll also cover coding changes and reimbursement updates.
Automated Medication Compliance Tools for the Provider and PatientHealth Catalyst
When it comes to sustaining patient health outcomes, compliance and adherence to medication regimens are critically important, especially as providers manage patients with complex care needs and multiple medications. But, with provider burnout and staffing shortages at an all-time high, an efficient solution is critical. The use of automated medication management workflows to decrease provider burnout, while improving both medication compliance and patient engagement, is the way forward.
Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...Dr. David Greene Arizona
As we watch Dr. Greene's continued efforts and research in Arizona, it's clear that stem cell therapy holds a promising key to unlocking new doors in the treatment of kidney disease. With each study and trial, we step closer to a world where kidney disease is no longer a life sentence but a treatable condition, thanks to pioneers like Dr. David Greene.
One of the most developed cities of India, the city of Chennai is the capital of Tamilnadu and many people from different parts of India come here to earn their bread and butter. Being a metropolitan, the city is filled with towering building and beaches but the sad part as with almost every Indian city
Global launch of the Healthy Ageing and Prevention Index 2nd wave – alongside...ILC- UK
The Healthy Ageing and Prevention Index is an online tool created by ILC that ranks countries on six metrics including, life span, health span, work span, income, environmental performance, and happiness. The Index helps us understand how well countries have adapted to longevity and inform decision makers on what must be done to maximise the economic benefits that comes with living well for longer.
Alongside the 77th World Health Assembly in Geneva on 28 May 2024, we launched the second version of our Index, allowing us to track progress and give new insights into what needs to be done to keep populations healthier for longer.
The speakers included:
Professor Orazio Schillaci, Minister of Health, Italy
Dr Hans Groth, Chairman of the Board, World Demographic & Ageing Forum
Professor Ilona Kickbusch, Founder and Chair, Global Health Centre, Geneva Graduate Institute and co-chair, World Health Summit Council
Dr Natasha Azzopardi Muscat, Director, Country Health Policies and Systems Division, World Health Organisation EURO
Dr Marta Lomazzi, Executive Manager, World Federation of Public Health Associations
Dr Shyam Bishen, Head, Centre for Health and Healthcare and Member of the Executive Committee, World Economic Forum
Dr Karin Tegmark Wisell, Director General, Public Health Agency of Sweden
Telehealth Psychology Building Trust with Clients.pptxThe Harvest Clinic
Telehealth psychology is a digital approach that offers psychological services and mental health care to clients remotely, using technologies like video conferencing, phone calls, text messaging, and mobile apps for communication.
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
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