The document outlines six steps for implementing a sustainable and impactful healthcare performance improvement program. It discusses establishing an infrastructure with analytics, adoption, and best practices systems. The six steps are: 1) integrate performance improvement into strategic objectives; 2) use analytics to identify opportunities; 3) prioritize programs using analytics and an adoption system; 4) define permanent improvement teams; 5) use a best practices system to define outcomes and interventions; and 6) estimate return on investment. Implementing these steps within an ongoing performance infrastructure can help organizations achieve effective, sustainable performance gains.
Activity-Based Costing in Healthcare During COVID-19: Meeting Four Critical N...Health Catalyst
As health systems increasingly transition to a value-based care model, the financial strains and uncertainty of COVID-19 have placed more urgency on cost management. More than ever, organizations need a costing solution that helps them understand the true value of their services. With the right next-generation activity-based costing (ABC) tool, health systems can access the detailed data they need to lower the cost of care, automate costing activities, and reduce administrative costs while preparing for the mounting intricacy of the post-pandemic setting.
Activity-based costing meets healthcare’s complex COVID-19-era costing needs by addressing four big challenges:
Data management.
Scalability.
Ongoing maintenance.
Adoption.
Deliver Data to Decision Makers: Two Important Strategies for SuccessHealth Catalyst
Surviving on thin operating margins underscores the need for all end users at a health system to make decisions based on comprehensive data sets. This data-centered approach to decision making allows team members to take the right course of action the first time and avoid making decisions based on fragmented data that exclude key pieces of information.
To promote data-driven decision making and a data-centric culture, healthcare organizations should increase data access and availability across the institution. With easy access to complete data, end users rely on the same data to make decisions, no matter where they work within the health system.
Two strategies can help organizations integrate and deliver data to end users when they need it:
Select infrastructure that fits most people’s needs.
Ask the right questions.
Five Practical Steps Towards Healthcare Data GovernanceHealth Catalyst
Health systems increasingly recognize data as one of their top strategic assets, but how many organization have the processes and frameworks in place to protect their data? Without effective data governance, organizations risk losing trust in their data and its value in process and outcomes improvement; a 2018 survey indicated less than half of healthcare CIOs have strong trust in their data.
By following five steps towards data governance, health systems can effectively steward data and grow and maintain trust in it as a critical asset:
Identify the organizational priorities.
Identify the data governance priorities.
Identify and recruit the early adopters.
Identify the scope of the opportunity appropriately.
Enable early adopters to become enterprise data governance leaders and mentors.
Physician Burnout and the EHR: Addressing Five Common BurdensHealth Catalyst
So far, the EHR hasn’t delivered on its original intent to improve patient care with more efficiency and personalization and lower cost. Instead, physician users blame the systems for worsening their experience and the quality of their care in significant ways:
Less time for patient interaction and worsened quality of interaction.
An extended workday.
Poor design (difficult to use).
Demands of quality measures.
Cost and maintenance.
Despite these challenges, the EHR is likely here to stay. Health systems have invested heavily in their electronic reporting systems and are now focused on making these technologies and processes work for the benefit of patients and providers. CIOs are working towards better aligning digital health goals with physician experience for an environment where EHRs enable smarter, not harder, work.
Three Must-Haves for a Successful Healthcare Data StrategyHealth Catalyst
Healthcare is confronting rising costs, aging and growing populations, an increasing focus on population health, alternative payment models, and other challenges as the industry shifts from volume to value. These obstacles drive a growing need for more digitization, accompanied by a data-centric improvement strategy.
To establish and maintain data as a primary strategy that guides clinical, financial, and operational transformation, organizations must have three systems in place:
Best practices to identify target behaviors and practices.
Analytics to accelerate improvement and identify gaps between best practices and analytic results.
Adoption processes to outline the path to transformation.
Innovative Healthcare Partnerships: Making the Most of Merging Resources and ...Health Catalyst
Healthcare mergers and acquisitions performed solidly in 2020, despite the downturn in the U.S. economy and healthcare in general. Organizations responded to new challenges by partnering with each other to build core business strengths, address gaps in care delivery the pandemic exposed, and enhance their resources to navigate current and future crises.
Realizing the potential of emerging healthcare partnerships requires an open and scalable analytics infrastructure plus a cultural and contractual openness to allow innovation to flourish. Organizations that have adopted an open analytics platform have the data operating advantage to form partnerships, efficiently and smoothly bring best-of-breed solutions to market, and enable the innovative potential of collaborations.
Resetting Payer-Provider Arrangements for COVID-19 and the Evolving Improveme...Health Catalyst
As the healthcare industry recovers from COVID-19, providers are re-evaluating the financial arrangements that motivate them to improve their processes while benefiting payers and patients.
With the pandemic driving lower provider volumes and straining hospital resources, the industry has a renewed urgency for policies that drive better outcomes while lowering cost and improving revenue. Moving forward, healthcare must reset its payer-provider performance standards to the post COVID-19 environment.
Renewed approaches to the following models will consider the impact of remote care, how to reimburse telehealth services, and the need for consistent payments to providers:
1. Pay for performance.
2. Bundled payments.
3. ACOs.
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.
Activity-Based Costing in Healthcare During COVID-19: Meeting Four Critical N...Health Catalyst
As health systems increasingly transition to a value-based care model, the financial strains and uncertainty of COVID-19 have placed more urgency on cost management. More than ever, organizations need a costing solution that helps them understand the true value of their services. With the right next-generation activity-based costing (ABC) tool, health systems can access the detailed data they need to lower the cost of care, automate costing activities, and reduce administrative costs while preparing for the mounting intricacy of the post-pandemic setting.
Activity-based costing meets healthcare’s complex COVID-19-era costing needs by addressing four big challenges:
Data management.
Scalability.
Ongoing maintenance.
Adoption.
Deliver Data to Decision Makers: Two Important Strategies for SuccessHealth Catalyst
Surviving on thin operating margins underscores the need for all end users at a health system to make decisions based on comprehensive data sets. This data-centered approach to decision making allows team members to take the right course of action the first time and avoid making decisions based on fragmented data that exclude key pieces of information.
To promote data-driven decision making and a data-centric culture, healthcare organizations should increase data access and availability across the institution. With easy access to complete data, end users rely on the same data to make decisions, no matter where they work within the health system.
Two strategies can help organizations integrate and deliver data to end users when they need it:
Select infrastructure that fits most people’s needs.
Ask the right questions.
Five Practical Steps Towards Healthcare Data GovernanceHealth Catalyst
Health systems increasingly recognize data as one of their top strategic assets, but how many organization have the processes and frameworks in place to protect their data? Without effective data governance, organizations risk losing trust in their data and its value in process and outcomes improvement; a 2018 survey indicated less than half of healthcare CIOs have strong trust in their data.
By following five steps towards data governance, health systems can effectively steward data and grow and maintain trust in it as a critical asset:
Identify the organizational priorities.
Identify the data governance priorities.
Identify and recruit the early adopters.
Identify the scope of the opportunity appropriately.
Enable early adopters to become enterprise data governance leaders and mentors.
Physician Burnout and the EHR: Addressing Five Common BurdensHealth Catalyst
So far, the EHR hasn’t delivered on its original intent to improve patient care with more efficiency and personalization and lower cost. Instead, physician users blame the systems for worsening their experience and the quality of their care in significant ways:
Less time for patient interaction and worsened quality of interaction.
An extended workday.
Poor design (difficult to use).
Demands of quality measures.
Cost and maintenance.
Despite these challenges, the EHR is likely here to stay. Health systems have invested heavily in their electronic reporting systems and are now focused on making these technologies and processes work for the benefit of patients and providers. CIOs are working towards better aligning digital health goals with physician experience for an environment where EHRs enable smarter, not harder, work.
Three Must-Haves for a Successful Healthcare Data StrategyHealth Catalyst
Healthcare is confronting rising costs, aging and growing populations, an increasing focus on population health, alternative payment models, and other challenges as the industry shifts from volume to value. These obstacles drive a growing need for more digitization, accompanied by a data-centric improvement strategy.
To establish and maintain data as a primary strategy that guides clinical, financial, and operational transformation, organizations must have three systems in place:
Best practices to identify target behaviors and practices.
Analytics to accelerate improvement and identify gaps between best practices and analytic results.
Adoption processes to outline the path to transformation.
Innovative Healthcare Partnerships: Making the Most of Merging Resources and ...Health Catalyst
Healthcare mergers and acquisitions performed solidly in 2020, despite the downturn in the U.S. economy and healthcare in general. Organizations responded to new challenges by partnering with each other to build core business strengths, address gaps in care delivery the pandemic exposed, and enhance their resources to navigate current and future crises.
Realizing the potential of emerging healthcare partnerships requires an open and scalable analytics infrastructure plus a cultural and contractual openness to allow innovation to flourish. Organizations that have adopted an open analytics platform have the data operating advantage to form partnerships, efficiently and smoothly bring best-of-breed solutions to market, and enable the innovative potential of collaborations.
Resetting Payer-Provider Arrangements for COVID-19 and the Evolving Improveme...Health Catalyst
As the healthcare industry recovers from COVID-19, providers are re-evaluating the financial arrangements that motivate them to improve their processes while benefiting payers and patients.
With the pandemic driving lower provider volumes and straining hospital resources, the industry has a renewed urgency for policies that drive better outcomes while lowering cost and improving revenue. Moving forward, healthcare must reset its payer-provider performance standards to the post COVID-19 environment.
Renewed approaches to the following models will consider the impact of remote care, how to reimburse telehealth services, and the need for consistent payments to providers:
1. Pay for performance.
2. Bundled payments.
3. ACOs.
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.
Three Reasons Augmented Intelligence Is the Future of AI in HealthcareHealth Catalyst
Health systems increasingly turn to AI to help all team members make more informed decisions in a shorter time frame. Instead of an artificial-intelligence approach that threatens the critical role healthcare experts play in decision making, organizations should define AI as augmented intelligence. In his first podcast, Dr. Jason Jones, our Chief Analytics and Data Science Officer, explains how augmented intelligence can help health systems accelerate progress toward achieving the Quadruple Aim. The three unique opportunities augmented intelligence offers health systems include the following:
1. Augmented—not artificial—intelligence.
2. Think “change management.”
3. Address and overcome healthcare disparities.
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.
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.
Artificial Intelligence and Machine Learning in Healthcare: Four Real-World I...Health Catalyst
As COVID-19 has strained health systems clinically, operationally, and financially, advanced data science capabilities have emerged as highly valuable pandemic resources. Organizations use artificial intelligence (AI) and machine learning (ML) to better understand COVID-19 and other health conditions, patient populations, operational and financial challenges, and more—insights that are supporting pandemic response and recovery as well as ongoing healthcare delivery. Meanwhile, improved data science adoption guidelines are making implementation of capabilities such as AI and ML more accessible and actionable, allowing organizations to achieve meaningful short-term improvements and prepare for an emergency-ready future.
Health Catalyst® Introduces Closed-Loop Analytics™ ServicesHealth Catalyst
Healthcare organizations face provider dissatisfaction, lack of data integration, and excessive clicks to perform basic functions within the EHR. Closed-Loop Analytics™ aggregates data, circulates that data into new or existing workflows, and then surfaces best practice alerts at the decision point for physicians, clinical providers, and financial and operational teams. With clear calls to action throughout the workflow, organizations improve the utilization and effectiveness of analytics tools, yielding simplified workflows, decreased clicks, and improved outcomes.
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.
Want to know the best healthcare data warehouse for your organization? You’ll need to start first by modeling the data, because the data model used to build your healthcare enterprise data warehouse (EDW) will have a significant effect on both the time-to-value and the adaptability of your system going forward. Each of the models I describe below bind data at different times in the design process, some earlier, some later. As you’ll see, we believe that binding data later is better. The three approaches are 1) the enterprise data model, 2) the independent data model, and 3) the Health Catalyst Late-Binding™ approach.
A 5-Step Guide for Successful Healthcare Data Warehouse OperationsHealth Catalyst
Starting and sustaining an enterprise data warehouse (EDW) for a sizeable healthcare organization might seem as challenging as, say, forming a new country. While it is an arduous undertaking, there are plenty who have gone before. In this article, one EDW operations manager shares five steps for success:
Start with a Leadership Commitment to Outcomes Improvement
Build the Right Team
Establish Effective Partnerships with IT
Develop Interest and Gain Buy-In
Pivot Toward Maintaining Success
Successfully implementing and sustaining EDW operations is about establishing and managing priorities and understanding the enterprise-wide implications.
The Dangers of Commoditized Machine Learning in Healthcare: 5 Key Differentia...Health Catalyst
Many vendors deliver machine learning models with different applications in healthcare. But they don’t all deliver accurate models that are easy to implement, targeted to a specific use case, connected to actionable interventions, and surrounded by a machine learning community and support team with extensive, exclusive healthcare experience.
These machine learning qualities are possible only through a machine learning model delivered by a vendor with a unique set of capabilities. There are five differentiators behind effective machine learning models and vendors:
Vendor’s expertise and exclusive focus on healthcare.
Machine learning model’s access to extensive data sources.
Machine learning model’s ease of implementation.
Machine learning model’s interpretability and buy-in.
Machine learning model’s conformance with privacy standards.
These five factors separate the high-value vendors and models from the crowd, so healthcare systems can quickly implement machine learning and start seeing improvement results.
Accelerate Charge Capture Improvement with Health Catalyst VitalIntegrity™Health Catalyst
Health systems leave millions of unrealized dollars on the table due to suboptimal charge capture processes that lead to compliance issues and charge capture leakage. To survive on diminishing operating margins and maximize revenue for services rendered, organizations can turn to the Health Catalyst VitalIntegrity™ application. VitalIntegrity is a comprehensive charge capture solution that empowers health systems to take control of their financial future with insight into compliance issues, under- or over-charging, late or missing coding, and any other charge master-related issues. With detailed data into charge capture performance, health systems can increase earned revenue by remediating problems at their root cause and proactively eliminating threats to the revenue cycle.
How to Design an Effective Clinical Measurement System (And Avoid Common Pitf...Health Catalyst
As healthcare organizations strive to provide better care for patients, they must have an effective clinical measurement system to monitor their progress. First, there are only two potential aims when designing a clinical measurement system: measurement for selection or measurement for improvement. Understanding the difference between these two aims, as well as the connection between clinical measurement and improvement, is crucial to designing an effective system.
This article walks through the distinct difference between these two aims as well as how to avoid the common pitfalls that come with clinical measurement. It also discusses how to identify and track the right data elements using a seven-step process.
The Healthcare Analytics Ecosystem: A Must-Have in Today’s TransformationHealth Catalyst
Healthcare organizations seeking to achieve the Quadruple Aim (enhancing patient experience, improving population health, reducing costs, and reducing clinician and staff burnout), will reach their goals by building a rich analytics ecosystem. This environment promotes synergy between technology and highly skilled analysts and relies on full interoperability, allowing people to derive the right knowledge to transform healthcare.
Five important parts make up the healthcare analytics ecosystem:
Must-have tools.
People and their skills.
Reactive, descriptive, and prescriptive analytics.
Matching technical skills to analytics work streams.
Interoperability.
Saving Lives: Effective Healthcare Communication Empowers Care ManagementHealth Catalyst
With an estimated 80 percent of medical errors resulting from miscommunication among healthcare teams, organizations can significantly improve outcomes with better communication. A communication methodology outlines the essential information clinicians need to share, giving care teams the knowledge they need, when they need it, to make informed treatment decisions.
One communication toolkit, SBAR (Situation, Background, Assessment, Recommendation), defines the essential information clinicians must share when they hand off patient care from the inpatient to the ambulatory setting:
1. S (situation): The patient’s current situation.
2. B (background): Information about the current situation.
3. A (assessment): Assessment of the situation and background and potential treatment options.
4. R (recommendation): Recommended action.
Interoperability in Healthcare Data: A Life-Saving AdvantageHealth Catalyst
When health system clinicians make care decisions based on their organization’s EHR data alone, they’re only using a small portion of patient health information. Additional data sources—such as health information exchanges (HIEs) and patient-generated and -reported data—round out the full picture of an individual’s health and healthcare needs. This comprehensive insight enables critical, and sometimes life-saving, treatment and health management choices.
To leverage the data from beyond the four walls of a health system and combine it with clinical, financial, and operational EHR data, organizations need an interoperable platform approach to health data. The Health Catalyst® Data Operating System (DOS™), for example, combines, manages, and leverages disparate forms of health data for a complete view of the patient and more accurate insights into the best care decisions.
Transform Your Labor Cost Management Strategy: Introducing the Health Catalys...Health Catalyst
Labor costs encompass nearly 60 percent of the typical healthcare budget and are growing faster than healthcare systems can afford. COVID-19 responses only exacerbated this financial pressure. Controlling escalating labor costs means eliminating waste and using data to find where budgeted staffing hours exceed or fall short of patient needs. Most organizations have the wrong tools to understand labor demands and instead try to guess future patient volumes and staffing needs by using retrospective data that lacks timeliness.
The Health Catalyst PowerLabor application leverages augmented intelligence (AI)-powered forecasting capabilities to deliver accurate labor data to operational leaders. With timely workforce insight, health systems can close the gap between staff budgeting and future patient volumes, control labor expenses, and track progress toward budget and staffing targets.
Join John Hansmann, Senior Vice President of Strategic Consulting Operations at Health Catalyst, and Sean Latimer, Senior Director of Product Management at Health Catalyst, as they demonstrate how PowerLabor can help your organization increase productivity while ensuring resources for excellent patient care.
What You’ll Learn About PowerLabor:
• View Comprehensive Labor Data in One Place: Department and unit managers can analyze labor costs with an integrated view of all labor productivity data, including cost and hours, by system, location, department, team, and job role in one location.
• Proactively Schedule to Volume: With a complete view of categorized labor hours in relation to costs (e.g., contracts, premiums, overtime, and staffing mix), decision makers can easily identify labor trends, comparisons, and rollups across departments to accurately predict labor needs, plan for changes in staffing, and optimize staff to patient ratios.
• Drive Adoption with Expert Guidance: To maximize the PowerLabor application, Health Catalyst experts help categorize and refine data through an initial assessment and data integration from multiple data sources (e.g., EMR, billing, HR/payroll, time and attendance, and general ledger). Our implementation teams also provide train-the-trainer sessions to drive the most effective adoption.
Optimize Your Labor Management with Health Catalyst PowerLabor™Health Catalyst
To cut costs, healthcare leaders are looking at their greatest operating expense—labor management. However, with outdated labor management systems, decision makers rely on retrospective, incomplete data to forecast staffing volumes and patient support needs. Limited workforce insight can result in misaligned staffing or worse, jeopardizing patient care due to lack of labor support. With the Health Catalyst PowerLabor™ application, part of the Financial Empowerment Suite™, decision makers have access to a comprehensive view of labor data by organization, department, team, and job role. Timely insight into current and future hospital needs allows leaders to staff to patient volume, control escalating labor expenses, and ensure optimal resources for excellent patient care.
Four Essential Ways Control Charts Guide Healthcare ImprovementHealth Catalyst
Control charts are a critical asset to any health system seeking effective, sustainable improvement. With a simple three-line format, control charts show process change over time, including the average of the data, upper control limit, and lower control limit. This insight helps improvement teams monitor projects, understand opportunities and the impact of initiatives, and sustain improved processes.
Also known as Shewhart charts or statistical process control charts, control charts drive effective improvement by addressing three fundamental questions:
1. What is the goal of the improvement project?
2. How will the organization know that a change is an improvement?
3. What change can the organization make that will result in improvement?
Bridging the Data and Trust Gaps: Why Health Catalyst Entered the Life Scienc...Health Catalyst
Why would a healthcare data warehousing and analytics company partner with the life sciences industry? Because trust and collaboration across the industry—between life sciences, healthcare delivery systems, and insurance—is the only path to real healthcare transformation.
Health Catalyst recognizes an industrywide improvement opportunity in collaborating with life sciences to build mutual trust, integrate data, and leverage analytics insights for a common interest (i.e., patient outcomes). By aligning themselves around human health fulfillment, Health Catalyst, their provider partners, and life sciences will advance important healthcare goals:
Improving clinical trial design and execution.
Stimulating clinical innovation.
Supporting population health.
Reducing pharmaceutical costs.
Improving drug safety and pharmacovigilance.
Reduce Sepsis Mortality Rates with Five Data-Informed StrategiesHealth Catalyst
The CDC reports that one in three inpatient deaths is related to sepsis, with related health system costs totaling over $1.5 billion. Fortunately, nearly all sepsis deaths are preventable. However, most health systems lack the tools and information they need to steer sepsis improvement efforts that significantly reduce mortality rates.
Robust data infrastructure supports sepsis improvement teams by surfacing detailed data that reveals care gaps and missed opportunities. With access to sepsis data, improvement teams can implement five data-informed strategies that reduce sepsis deaths:
1. Create alerts for early detection.
2. Improve three-hour bundle compliance.
3. Optimize emergency department processes.
4. Leverage the CDC Sepsis Surveillance Toolkit.
5. Implement care transition processes to prevent sepsis readmission.
The Top Seven Healthcare Outcome Measures and Three Measurement EssentialsHealth Catalyst
Healthcare outcomes improvement can’t happen without effective outcomes measurement. Given the healthcare industry’s administrative and regulatory complexities, and the fact that health systems measure and report on hundreds of outcomes annually, this article adds much-needed clarity by reviewing the top seven outcome measures, including definitions, important nuances, and real-life examples. The top seven categories of outcome measures are:
Mortality
Readmissions
Safety of care
Effectiveness of care
Patient experience
Timeliness of care
Efficient use of medical imaging
CMS used these seven outcome measures to calculate overall hospital quality and arrive at its 2018 hospital star ratings. This article also reiterates the importance of outcomes measurement, clarifies how outcome measures are defined and prioritized, and recommends three essentials for successful outcomes measurement.
The Top Five Insights into Healthcare Operational Outcomes ImprovementHealth Catalyst
Effective, sustainable healthcare transformation rests in the organizational operations that power care delivery. Operations include the administrative, financial, legal, and clinical activities that keep health systems running and caring for patients. With operations so critical to care delivery, forward-thinking organizations continuously strive to improve their operational outcomes. Health systems can follow thought leadership that addresses common industry challenges—including waste reduction, obstacles in process change, limited hospital capacity, and complex project management—to inform their operational improvement strategies.
Five top insights address the following aspects of healthcare operational outcomes improvement:
Quality improvement as a foundational business strategy.
Using improvement science for true change.
Increasing hospital capacity without construction.
Leveraging project management techniques.
Features of highly effective improvement projects.
6 Steps for Implementing Successful Performance Improvement Initiatives in He...Health Catalyst
A systematic approach to performance improvement initiative includes three components: analytics, content, and deployment. Taking six steps will help an organization to effectively cover all three components of success. Step 1: Integrate performance improvement into your strategic objectives. Step 2: Use analytics to unlock data and identity areas of opportunity. Step 3: Prioritize programs using a combination of analytics and a deployment system. Step 4: Define the performance improvement program’s permanent teams. Step 5: Use a content system to define program outcomes and define interventions. Step 6: Estimate the ROI.
Three Reasons Augmented Intelligence Is the Future of AI in HealthcareHealth Catalyst
Health systems increasingly turn to AI to help all team members make more informed decisions in a shorter time frame. Instead of an artificial-intelligence approach that threatens the critical role healthcare experts play in decision making, organizations should define AI as augmented intelligence. In his first podcast, Dr. Jason Jones, our Chief Analytics and Data Science Officer, explains how augmented intelligence can help health systems accelerate progress toward achieving the Quadruple Aim. The three unique opportunities augmented intelligence offers health systems include the following:
1. Augmented—not artificial—intelligence.
2. Think “change management.”
3. Address and overcome healthcare disparities.
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.
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.
Artificial Intelligence and Machine Learning in Healthcare: Four Real-World I...Health Catalyst
As COVID-19 has strained health systems clinically, operationally, and financially, advanced data science capabilities have emerged as highly valuable pandemic resources. Organizations use artificial intelligence (AI) and machine learning (ML) to better understand COVID-19 and other health conditions, patient populations, operational and financial challenges, and more—insights that are supporting pandemic response and recovery as well as ongoing healthcare delivery. Meanwhile, improved data science adoption guidelines are making implementation of capabilities such as AI and ML more accessible and actionable, allowing organizations to achieve meaningful short-term improvements and prepare for an emergency-ready future.
Health Catalyst® Introduces Closed-Loop Analytics™ ServicesHealth Catalyst
Healthcare organizations face provider dissatisfaction, lack of data integration, and excessive clicks to perform basic functions within the EHR. Closed-Loop Analytics™ aggregates data, circulates that data into new or existing workflows, and then surfaces best practice alerts at the decision point for physicians, clinical providers, and financial and operational teams. With clear calls to action throughout the workflow, organizations improve the utilization and effectiveness of analytics tools, yielding simplified workflows, decreased clicks, and improved outcomes.
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.
Want to know the best healthcare data warehouse for your organization? You’ll need to start first by modeling the data, because the data model used to build your healthcare enterprise data warehouse (EDW) will have a significant effect on both the time-to-value and the adaptability of your system going forward. Each of the models I describe below bind data at different times in the design process, some earlier, some later. As you’ll see, we believe that binding data later is better. The three approaches are 1) the enterprise data model, 2) the independent data model, and 3) the Health Catalyst Late-Binding™ approach.
A 5-Step Guide for Successful Healthcare Data Warehouse OperationsHealth Catalyst
Starting and sustaining an enterprise data warehouse (EDW) for a sizeable healthcare organization might seem as challenging as, say, forming a new country. While it is an arduous undertaking, there are plenty who have gone before. In this article, one EDW operations manager shares five steps for success:
Start with a Leadership Commitment to Outcomes Improvement
Build the Right Team
Establish Effective Partnerships with IT
Develop Interest and Gain Buy-In
Pivot Toward Maintaining Success
Successfully implementing and sustaining EDW operations is about establishing and managing priorities and understanding the enterprise-wide implications.
The Dangers of Commoditized Machine Learning in Healthcare: 5 Key Differentia...Health Catalyst
Many vendors deliver machine learning models with different applications in healthcare. But they don’t all deliver accurate models that are easy to implement, targeted to a specific use case, connected to actionable interventions, and surrounded by a machine learning community and support team with extensive, exclusive healthcare experience.
These machine learning qualities are possible only through a machine learning model delivered by a vendor with a unique set of capabilities. There are five differentiators behind effective machine learning models and vendors:
Vendor’s expertise and exclusive focus on healthcare.
Machine learning model’s access to extensive data sources.
Machine learning model’s ease of implementation.
Machine learning model’s interpretability and buy-in.
Machine learning model’s conformance with privacy standards.
These five factors separate the high-value vendors and models from the crowd, so healthcare systems can quickly implement machine learning and start seeing improvement results.
Accelerate Charge Capture Improvement with Health Catalyst VitalIntegrity™Health Catalyst
Health systems leave millions of unrealized dollars on the table due to suboptimal charge capture processes that lead to compliance issues and charge capture leakage. To survive on diminishing operating margins and maximize revenue for services rendered, organizations can turn to the Health Catalyst VitalIntegrity™ application. VitalIntegrity is a comprehensive charge capture solution that empowers health systems to take control of their financial future with insight into compliance issues, under- or over-charging, late or missing coding, and any other charge master-related issues. With detailed data into charge capture performance, health systems can increase earned revenue by remediating problems at their root cause and proactively eliminating threats to the revenue cycle.
How to Design an Effective Clinical Measurement System (And Avoid Common Pitf...Health Catalyst
As healthcare organizations strive to provide better care for patients, they must have an effective clinical measurement system to monitor their progress. First, there are only two potential aims when designing a clinical measurement system: measurement for selection or measurement for improvement. Understanding the difference between these two aims, as well as the connection between clinical measurement and improvement, is crucial to designing an effective system.
This article walks through the distinct difference between these two aims as well as how to avoid the common pitfalls that come with clinical measurement. It also discusses how to identify and track the right data elements using a seven-step process.
The Healthcare Analytics Ecosystem: A Must-Have in Today’s TransformationHealth Catalyst
Healthcare organizations seeking to achieve the Quadruple Aim (enhancing patient experience, improving population health, reducing costs, and reducing clinician and staff burnout), will reach their goals by building a rich analytics ecosystem. This environment promotes synergy between technology and highly skilled analysts and relies on full interoperability, allowing people to derive the right knowledge to transform healthcare.
Five important parts make up the healthcare analytics ecosystem:
Must-have tools.
People and their skills.
Reactive, descriptive, and prescriptive analytics.
Matching technical skills to analytics work streams.
Interoperability.
Saving Lives: Effective Healthcare Communication Empowers Care ManagementHealth Catalyst
With an estimated 80 percent of medical errors resulting from miscommunication among healthcare teams, organizations can significantly improve outcomes with better communication. A communication methodology outlines the essential information clinicians need to share, giving care teams the knowledge they need, when they need it, to make informed treatment decisions.
One communication toolkit, SBAR (Situation, Background, Assessment, Recommendation), defines the essential information clinicians must share when they hand off patient care from the inpatient to the ambulatory setting:
1. S (situation): The patient’s current situation.
2. B (background): Information about the current situation.
3. A (assessment): Assessment of the situation and background and potential treatment options.
4. R (recommendation): Recommended action.
Interoperability in Healthcare Data: A Life-Saving AdvantageHealth Catalyst
When health system clinicians make care decisions based on their organization’s EHR data alone, they’re only using a small portion of patient health information. Additional data sources—such as health information exchanges (HIEs) and patient-generated and -reported data—round out the full picture of an individual’s health and healthcare needs. This comprehensive insight enables critical, and sometimes life-saving, treatment and health management choices.
To leverage the data from beyond the four walls of a health system and combine it with clinical, financial, and operational EHR data, organizations need an interoperable platform approach to health data. The Health Catalyst® Data Operating System (DOS™), for example, combines, manages, and leverages disparate forms of health data for a complete view of the patient and more accurate insights into the best care decisions.
Transform Your Labor Cost Management Strategy: Introducing the Health Catalys...Health Catalyst
Labor costs encompass nearly 60 percent of the typical healthcare budget and are growing faster than healthcare systems can afford. COVID-19 responses only exacerbated this financial pressure. Controlling escalating labor costs means eliminating waste and using data to find where budgeted staffing hours exceed or fall short of patient needs. Most organizations have the wrong tools to understand labor demands and instead try to guess future patient volumes and staffing needs by using retrospective data that lacks timeliness.
The Health Catalyst PowerLabor application leverages augmented intelligence (AI)-powered forecasting capabilities to deliver accurate labor data to operational leaders. With timely workforce insight, health systems can close the gap between staff budgeting and future patient volumes, control labor expenses, and track progress toward budget and staffing targets.
Join John Hansmann, Senior Vice President of Strategic Consulting Operations at Health Catalyst, and Sean Latimer, Senior Director of Product Management at Health Catalyst, as they demonstrate how PowerLabor can help your organization increase productivity while ensuring resources for excellent patient care.
What You’ll Learn About PowerLabor:
• View Comprehensive Labor Data in One Place: Department and unit managers can analyze labor costs with an integrated view of all labor productivity data, including cost and hours, by system, location, department, team, and job role in one location.
• Proactively Schedule to Volume: With a complete view of categorized labor hours in relation to costs (e.g., contracts, premiums, overtime, and staffing mix), decision makers can easily identify labor trends, comparisons, and rollups across departments to accurately predict labor needs, plan for changes in staffing, and optimize staff to patient ratios.
• Drive Adoption with Expert Guidance: To maximize the PowerLabor application, Health Catalyst experts help categorize and refine data through an initial assessment and data integration from multiple data sources (e.g., EMR, billing, HR/payroll, time and attendance, and general ledger). Our implementation teams also provide train-the-trainer sessions to drive the most effective adoption.
Optimize Your Labor Management with Health Catalyst PowerLabor™Health Catalyst
To cut costs, healthcare leaders are looking at their greatest operating expense—labor management. However, with outdated labor management systems, decision makers rely on retrospective, incomplete data to forecast staffing volumes and patient support needs. Limited workforce insight can result in misaligned staffing or worse, jeopardizing patient care due to lack of labor support. With the Health Catalyst PowerLabor™ application, part of the Financial Empowerment Suite™, decision makers have access to a comprehensive view of labor data by organization, department, team, and job role. Timely insight into current and future hospital needs allows leaders to staff to patient volume, control escalating labor expenses, and ensure optimal resources for excellent patient care.
Four Essential Ways Control Charts Guide Healthcare ImprovementHealth Catalyst
Control charts are a critical asset to any health system seeking effective, sustainable improvement. With a simple three-line format, control charts show process change over time, including the average of the data, upper control limit, and lower control limit. This insight helps improvement teams monitor projects, understand opportunities and the impact of initiatives, and sustain improved processes.
Also known as Shewhart charts or statistical process control charts, control charts drive effective improvement by addressing three fundamental questions:
1. What is the goal of the improvement project?
2. How will the organization know that a change is an improvement?
3. What change can the organization make that will result in improvement?
Bridging the Data and Trust Gaps: Why Health Catalyst Entered the Life Scienc...Health Catalyst
Why would a healthcare data warehousing and analytics company partner with the life sciences industry? Because trust and collaboration across the industry—between life sciences, healthcare delivery systems, and insurance—is the only path to real healthcare transformation.
Health Catalyst recognizes an industrywide improvement opportunity in collaborating with life sciences to build mutual trust, integrate data, and leverage analytics insights for a common interest (i.e., patient outcomes). By aligning themselves around human health fulfillment, Health Catalyst, their provider partners, and life sciences will advance important healthcare goals:
Improving clinical trial design and execution.
Stimulating clinical innovation.
Supporting population health.
Reducing pharmaceutical costs.
Improving drug safety and pharmacovigilance.
Reduce Sepsis Mortality Rates with Five Data-Informed StrategiesHealth Catalyst
The CDC reports that one in three inpatient deaths is related to sepsis, with related health system costs totaling over $1.5 billion. Fortunately, nearly all sepsis deaths are preventable. However, most health systems lack the tools and information they need to steer sepsis improvement efforts that significantly reduce mortality rates.
Robust data infrastructure supports sepsis improvement teams by surfacing detailed data that reveals care gaps and missed opportunities. With access to sepsis data, improvement teams can implement five data-informed strategies that reduce sepsis deaths:
1. Create alerts for early detection.
2. Improve three-hour bundle compliance.
3. Optimize emergency department processes.
4. Leverage the CDC Sepsis Surveillance Toolkit.
5. Implement care transition processes to prevent sepsis readmission.
The Top Seven Healthcare Outcome Measures and Three Measurement EssentialsHealth Catalyst
Healthcare outcomes improvement can’t happen without effective outcomes measurement. Given the healthcare industry’s administrative and regulatory complexities, and the fact that health systems measure and report on hundreds of outcomes annually, this article adds much-needed clarity by reviewing the top seven outcome measures, including definitions, important nuances, and real-life examples. The top seven categories of outcome measures are:
Mortality
Readmissions
Safety of care
Effectiveness of care
Patient experience
Timeliness of care
Efficient use of medical imaging
CMS used these seven outcome measures to calculate overall hospital quality and arrive at its 2018 hospital star ratings. This article also reiterates the importance of outcomes measurement, clarifies how outcome measures are defined and prioritized, and recommends three essentials for successful outcomes measurement.
The Top Five Insights into Healthcare Operational Outcomes ImprovementHealth Catalyst
Effective, sustainable healthcare transformation rests in the organizational operations that power care delivery. Operations include the administrative, financial, legal, and clinical activities that keep health systems running and caring for patients. With operations so critical to care delivery, forward-thinking organizations continuously strive to improve their operational outcomes. Health systems can follow thought leadership that addresses common industry challenges—including waste reduction, obstacles in process change, limited hospital capacity, and complex project management—to inform their operational improvement strategies.
Five top insights address the following aspects of healthcare operational outcomes improvement:
Quality improvement as a foundational business strategy.
Using improvement science for true change.
Increasing hospital capacity without construction.
Leveraging project management techniques.
Features of highly effective improvement projects.
6 Steps for Implementing Successful Performance Improvement Initiatives in He...Health Catalyst
A systematic approach to performance improvement initiative includes three components: analytics, content, and deployment. Taking six steps will help an organization to effectively cover all three components of success. Step 1: Integrate performance improvement into your strategic objectives. Step 2: Use analytics to unlock data and identity areas of opportunity. Step 3: Prioritize programs using a combination of analytics and a deployment system. Step 4: Define the performance improvement program’s permanent teams. Step 5: Use a content system to define program outcomes and define interventions. Step 6: Estimate the ROI.
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.
Healthcare Process Improvement: Six Strategies for Organizationwide Transform...Health Catalyst
Healthcare processes drive activities and outcomes across the health system, from emergency department admissions and procedures to billing and discharge. Furthermore, in the COVID-19 era’s uncertainty, process quality is an increasingly important driver in care delivery and organizational success. Given this broad scope of impact, process improvement is intrinsically linked to better outcomes and lower costs. Six strategies for healthcare process improvement illustrate the roles of strategy, skillsets, culture, and advanced analytics in healthcare’s continuing mission of transformation.
The Healthcare Outcomes Improvement Engine: The Best Way to Ensure Sustainabl...Health Catalyst
How do healthcare organizations create a systemwide focus on outcomes improvement? They build a healthcare outcomes improvement engine—a mechanism designed to drive successful and sustainable change.
Creating this outcomes improvement engine requires four critical components:
Engaging executives around outcomes improvement.
Prioritizing opportunities most likely to succeed.
Adequately staffing initiatives.
Communicating success early and often.
Once up and running, multidisciplinary engagement and standardized improvement processes fuel the outcomes improvement engine in its mission to produce sustainable, scalable improvement.
A Guide to Applying Quality improvement to Healthcare Five PrinciplesHealth Catalyst
Healthcare is an art and a science. What many in the industry don’t understand is that systems and processes can coexist with personalized care. Quality improvement methods can be as effective in healthcare as they have been in other industries (e.g., agriculture, manufacturing, etc.).
Quality improvement in healthcare is not just achievable, it’s an absolute necessity given the amount of wasteful spending in the U.S. on healthcare. Organizations can reduce this wasteful spending while improving their processes by applying these five guiding principles:
Facilitate adoption through hands-on improvement projects.
Define quality and get agreement.
Measure for improvement, not accountability.
Use a quality improvement framework and PDSA cycles.
Learn from variation in data.
By using these principles and starting small, organizations can quicken the pace of quality improvement in healthcare.
From Installed to Stalled: Why Sustaining Outcomes Improvement Requires More ...Health Catalyst
The big first step toward building an outcomes improvement program is installing the analytics platform. But it’s certainly not the only step. Sustaining healthcare outcomes improvement is a triathlon, and the three legs are:
Installing an analytics platform
Gaining adoption
Implementing best practices
The program requires buy-in, enthusiasm, even evangelizing of analytics and its tools throughout the organization. It also requires that learnings from analysis translate into best practices, otherwise the program fails to produce results and will eventually fade away. Equally important is that top-level leadership across the organization, not just IT, supports and promotes the program ongoing. We explore each of the elements and how they come together to create successful and sustainable outcomes improvement that defines leading healthcare organizations.
Removing Barriers to Clinician Engagement: Partnerships in Improvement WorkHealth Catalyst
With clinicians driving many of the decisions that affect health system quality and cost, they’re an essential part of successful improvement efforts. Clinicians are, however, notoriously overburdened in today’s healthcare setting, and getting their buy-in for additional projects is often a big challenge. To successfully partner with these professionals in improvement work, health systems must develop engagement strategies that prioritize clinician needs and concerns and leverage data that’s meaningful to clinicians.
Improvement leaders can approach clinician engagement on three levels:
Clinician-led local programs.
Department- or division-level programs.
Leadership-level growth and improvement programs.
A Healthcare Mergers Framework: How to Accelerate the BenefitsHealth Catalyst
Health system mergers can promise significant savings for participating organizations. Research, however, indicates as much as a tenfold gap between expectation and reality, with systems looking for a savings of 15 percent but more likely to realize savings around 1.5 percent.
Driving the merger expectation-reality disparity is a complex process that, without diligent preparation and strategy, makes it difficult for organizations to fully leverage cost synergies. With the right framework, however, health systems can achieve the process management, data sharing, and governance structure to align leadership, clinicians, and all stakeholders around merger goals.
• Performance management overview and relevance to public health
• Turning Point Performance Management System Framework overview
• Turning Point Performance Management System Framework 2012 refresh
• Tools to help your organization assess performance management capacity
• Performance management resources
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.
Aligning Healthcare Organizations: Lessons in improved Quality and Efficiency...Nathan Ives
Aligning Healthcare Organizations describes how best practices in measuring organizational performance in the nuclear power industry can be applied to healthcare providers facing the daunting challenge of concurrently increasing production, efficiency, and quality while reducing operating costs.
Three Steps to Prioritize Clinical Quality Improvement in HealthcareHealth Catalyst
Healthcare organizations today have access to so much data from across their systems that they may struggle to know where to focus quality improvement efforts. An analytic framework and a stepwise process ensures organizations have broad data access and can identify the most significant opportunities for impact. With a strategic, data-informed approach to clinical quality improvement, health systems can consume fewer resources, discover cost savings, and improve ROI and the quality of care.
Three steps comprise an effective quality improvement process:
1. Adopt a healthcare-specific, open, scalable data platform.
2. Identify improvement priorities using the 80-20 rule.
3. Gain consensus from clinical teams on specific projects and goals.
Data Analysis and Quality Improvement Initiative Proposal .docxwhittemorelucilla
Data Analysis and Quality Improvement Initiative Proposal
Details
Attempt 1Evaluated
Attempt 2Evaluated
Attempt 3Available
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Overview
Prepare an 8–10-page data analysis and quality improvement initiative proposal based on a health issue of professional interest to you. The audience for your analysis and proposal is the nursing staff and the interprofessional team who will implement the initiative.
"A basic principle of quality measurement is: If you can't measure it, you can't improve it" (Agency for Healthcare Research and Quality, 2013).
Health care providers are on an endless quest to improve both care quality and patient safety. This unwavering commitment requires hospitals and care givers to increase their attention and adherence to treatment protocols to improve patient outcomes. Health informatics, along with new and improved technologies and procedures, are at the core of virtually all quality improvement initiatives. The data gathered by providers, along with process improvement models and recognized quality benchmarks, are all part of a collaborative, continuing effort. As such, it is essential that professional nurses are able to correctly interpret, and effectively communicate information revealed on dashboards that display critical care metrics.
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Questions to Consider
As you prepare to complete this assessment, you may want to think about other related issues to deepen your understanding or broaden your viewpoint. You are encouraged to consider the questions below and discuss them with a fellow learner, a work associate, an interested friend, or a member of your professional community. Note that these questions are for your own development and exploration and do not need to be completed or submitted as part of your assessment.
Reflect on QI initiatives focused on measuring and improving patient outcomes with which you are familiar.
How important is the role of nurses in QI initiatives?
What quality improvement initiatives have made the biggest difference? Why?
When a QI initiative does not succeed as planned, what steps are taken to improve or revise the effort?
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Resources
Required Resources
MSN Program Journey
Please review this guide for your degree program. It can help you stay on track for your practicum experience, so you may wish to bookmark it for later reference.
MSN Program Journey
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Transcript
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Assessment Instructions
Preparation
In this assessment, you will propose a quality improvement (QI) initiative proposal based on a health issue of professional interest to you. The QI initiative proposal will be based on an analysis of dashboard metrics from a health care facility. You have one of two options:
Option 1
If you
have access
to dashboard metrics related to a QI initiative proposal of interest to you:
Analyze data from the health care facility to identify.
The Top Five Essentials for Quality Improvement in HealthcareHealth Catalyst
Quality improvement in healthcare is complicated, but we’re beginning to understand what successful quality improvement programs have in common:
Adaptive leadership, culture, and governance
Analytics
Evidence- and consensus-based best practices
Adoption
Financial alignment
Although understanding the top five essentials for quality improvement in healthcare is key, it’s equally important to understand the most useful definitions and key considerations. For example, how different service delivery models (telemedicine, ACO, etc.) impact quality improvement programs and how quality improvement starts with an organization’s underlying systems of care.
This executive report takes an in-depth look at quality improvement with the goal of providing health systems with not only the top five essentials but also a more comprehensive understanding of the topic so they’re in a better position to improve quality and, ultimately, transform healthcare.
Four Keys to Increase Healthcare Market ShareHealth Catalyst
With leadership alignment, easy access to data, and a roadmap to reach their objectives, health systems can drastically increase revenue and grow market share by applying four principles:
Key 1. Alignment.
Key 2. Vehicles.
Key 3: Five tools: access to data, data acumen; finance, vision to execution, and prioritizing outcomes.
Key 4: Education.
Access to the right data can drive changes that generate $48M in revenue, surpassing the year three market share goals in year two.
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.
Transforming Healthcare Analytics: Five Critical StepsHealth Catalyst
By committing to transforming healthcare analytics, organizations can eventually save hundreds of millions of dollars (depending on their size) and achieve comprehensive outcomes improvement. The transformation helps organizations achieve the analytics efficiency needed to navigate the complex healthcare landscape of technology, regulatory, and financial challenges and the challenges of value-based care.
To achieve analytics transformation and ROI within a short timeframe, organizations can follow five phases to become data driven:
Establish a data-driven culture.
Acquire and access data.
Establish data stewardship.
Establish data quality.
Spread data use.
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.
Chapter 101. Describe the concepts and models of plann.docxcravennichole326
Chapter 10
1. Describe the concepts and models of planning and decision making in the context of the healthcare supply chain.
2. Discuss the importance of situational factors (trends, environmental issues, technology, regulatory compliance, etc…) in the planning process and how leadership principles, metrics and improvement tenets can be used to positively impact the organizational culture of healthcare supply chain operations.
3. Relate, discuss and provide areas of integration between planning and decision making amid continuous operations of the healthcare supply chain to include the use of metrics and improvement strategies.
4. Distinguish the differences between planning and contingency planning.
5. Merge principles of leadership, planning and decision making to develop a personal plan for operating in a fast paced healthcare supply chain environment.
6. Evaluate the benefits for organizational operations with a solid planning process and standing operating procedures as part of the healthcare supply chain culture to include outside sales representatives.
Chapter 10: Building a Culture of Healthcare Supply Chain Excellence: Leading, Planning, Managing, Deciding, and Learning
Learning Objectives
Describe the concepts and models of planning and decision making in the context of the healthcare supply chain.
Discuss the importance of situational factors (trends, environmental issues, technology, regulatory compliance, etc…) in the planning process and how leadership principles, metrics and improvement tenets can be used to positively impact the organizational culture of healthcare supply chain operations.
Relate, discuss and provide areas of integration between planning and decision making amid continuous operations of the healthcare supply chain to include the use of metrics and improvement strategies.
Distinguish the differences between planning and contingency planning.
Merge principles of leadership, planning and decision making to develop a personal plan for operating in a fast paced healthcare supply chain environment.
Evaluate the benefits for organizational operations with a solid planning process and standing operating procedures as part of the healthcare supply chain culture to include outside sales representatives.
Introduction
Planning and decision making are essential to efficient, effective and efficacious healthcare supply chain operations and strategies.
Leaders and managers must structure and facilitate plans that integrate well with the healthcare organization’s strategic plan and must make consistent decisions in alignment with those plans.
Creating standing operating procedures for routine and consistent operations of the supply chain allows leaders and managers to spread the operational culture at all levels of the supply chain enterprise.
This chapter provides an overview of planning, improvement strategies, metrics, regulatory compliance and decision making.
These constructs should be reviewed and ...
Similar to Six Steps Towards Meaningful, Ongoing Healthcare Performance Improvement (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.
The Importance of Community Nursing Care.pdfAD Healthcare
NDIS and Community 24/7 Nursing Care is a specific type of support that may be provided under the NDIS for individuals with complex medical needs who require ongoing nursing care in a community setting, such as their home or a supported accommodation facility.
How many patients does case series should have In comparison to case reports.pdfpubrica101
Pubrica’s team of researchers and writers create scientific and medical research articles, which may be important resources for authors and practitioners. Pubrica medical writers assist you in creating and revising the introduction by alerting the reader to gaps in the chosen study subject. Our professionals understand the order in which the hypothesis topic is followed by the broad subject, the issue, and the backdrop.
https://pubrica.com/academy/case-study-or-series/how-many-patients-does-case-series-should-have-in-comparison-to-case-reports/
CHAPTER 1 SEMESTER V PREVENTIVE-PEDIATRICS.pdfSachin Sharma
This content provides an overview of preventive pediatrics. It defines preventive pediatrics as preventing disease and promoting children's physical, mental, and social well-being to achieve positive health. It discusses antenatal, postnatal, and social preventive pediatrics. It also covers various child health programs like immunization, breastfeeding, ICDS, and the roles of organizations like WHO, UNICEF, and nurses in preventive pediatrics.
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Guillermo Rivera
This conference will delve into the intricate intersections between mental health, legal frameworks, and the prison system in Bolivia. It aims to provide a comprehensive overview of the current challenges faced by mental health professionals working within the legislative and correctional landscapes. Topics of discussion will include the prevalence and impact of mental health issues among the incarcerated population, the effectiveness of existing mental health policies and legislation, and potential reforms to enhance the mental health support system within prisons.
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfSachin Sharma
Pediatric nurses play a vital role in the health and well-being of children. Their responsibilities are wide-ranging, and their objectives can be categorized into several key areas:
1. Direct Patient Care:
Objective: Provide comprehensive and compassionate care to infants, children, and adolescents in various healthcare settings (hospitals, clinics, etc.).
This includes tasks like:
Monitoring vital signs and physical condition.
Administering medications and treatments.
Performing procedures as directed by doctors.
Assisting with daily living activities (bathing, feeding).
Providing emotional support and pain management.
2. Health Promotion and Education:
Objective: Promote healthy behaviors and educate children, families, and communities about preventive healthcare.
This includes tasks like:
Administering vaccinations.
Providing education on nutrition, hygiene, and development.
Offering breastfeeding and childbirth support.
Counseling families on safety and injury prevention.
3. Collaboration and Advocacy:
Objective: Collaborate effectively with doctors, social workers, therapists, and other healthcare professionals to ensure coordinated care for children.
Objective: Advocate for the rights and best interests of their patients, especially when children cannot speak for themselves.
This includes tasks like:
Communicating effectively with healthcare teams.
Identifying and addressing potential risks to child welfare.
Educating families about their child's condition and treatment options.
4. Professional Development and Research:
Objective: Stay up-to-date on the latest advancements in pediatric healthcare through continuing education and research.
Objective: Contribute to improving the quality of care for children by participating in research initiatives.
This includes tasks like:
Attending workshops and conferences on pediatric nursing.
Participating in clinical trials related to child health.
Implementing evidence-based practices into their daily routines.
By fulfilling these objectives, pediatric nurses play a crucial role in ensuring the optimal health and well-being of children throughout all stages of their development.
Health Education on prevention of hypertensionRadhika kulvi
Hypertension is a chronic condition of concern due to its role in the causation of coronary heart diseases. Hypertension is a worldwide epidemic and important risk factor for coronary artery disease, stroke and renal diseases. Blood pressure is the force exerted by the blood against the walls of the blood vessels and is sufficient to maintain tissue perfusion during activity and rest. Hypertension is sustained elevation of BP. In adults, HTN exists when systolic blood pressure is equal to or greater than 140mmHg or diastolic BP is equal to or greater than 90mmHg. The
ICH Guidelines for Pharmacovigilance.pdfNEHA GUPTA
The "ICH Guidelines for Pharmacovigilance" PDF provides a comprehensive overview of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) guidelines related to pharmacovigilance. These guidelines aim to ensure that drugs are safe and effective for patients by monitoring and assessing adverse effects, ensuring proper reporting systems, and improving risk management practices. The document is essential for professionals in the pharmaceutical industry, regulatory authorities, and healthcare providers, offering detailed procedures and standards for pharmacovigilance activities to enhance drug safety and protect public health.
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