HAS 20 Virtual: Reimaging the Healthcare Conference

The future of healthcare is here, with its focus on data sharing, technological pushes forward, and virtual work wherever possible. We are excited to embrace the adventure and challenge of these changes by reimagining the Healthcare Analytics Summit (HAS) 2020 as a virtual format that will be unlike any other healthcare conference you may have attended, virtual or otherwise. HAS 20 Virtual takes place September 1-3, 2020 and will feature nationally recognized keynote speakers, educational breakout sessions, and many of the unique touches you’ve come to expect from HAS.

Introducing the Care Management Suite: A Data-Driven, Transparent Solution

COVID-19 has highlighted the healthcare imperative of effective care management—in particular, the ability for health systems to rapidly adapt their care management approach based on ever-changing healthcare terrain. Typical care management programs lack transparency, comprehensive data, and flexibility. This makes it difficult for care teams to easily change their care management programs based on patient population needs and opportunities. To meet these challenges, the Health Catalyst Care Management Suite leverages a transparent, data-driven strategy with expertise to help health systems maximize care management ROI.

The Medicare Shared Savings Program: Four Tools for Better Profit Margins and High-Quality Care

Medicare patients make up the majority of health systems’ revenue; yet, organizations earn only a one percent profit while caring for this population. Despite historically low profit margins, Medicare can be lucrative for health systems, and through the Medicare Shared Savings Program, healthcare organizations can increase revenue with four tools: The ability to aggregate and analyze data. The ability to align financial incentives between payers and providers. The ability to engage patients in behavior or lifestyle modifications. The ability to garner support from clinicians and encourage them to lead the shift to VBC. As the shift from fee-for-service to value-based care continues, health systems can leverage MSSP to deliver the highest level of care while also increasing profit margins.

What Health Systems Need to Know About COVID-19 Relief Funding

During the emergency phase of the COVID-19 pandemic, almost half of all U.S. healthcare consumers postponed routine and non-emergent care, leaving organization with significant revenue loss across all care settings. In response to the widespread financial strain on the healthcare industry, Congress has allocated $100 billion in relief funding for hospitals and other healthcare providers. But while providers clearly need the financial relief, using it (including navigating terms and conditions and eligibility) has been less straightforward. Better understanding of these relief programs and compliance requirements will help organizations confidently optimize this assistance.

Cross-State Nurse Licensing: One Way to Improve Care During COVID-19

The rapid onset of COVID-19 has strained hospital resources, including workforce management. Qualified nurses have responded to the virus and volunteered in the hardest hit areas, but many have been prohibited from helping due to cross-state nurse licensing laws that don’t allow nurses to deliver care across state lines. As health systems continue to face current and emerging needs due to the virus—addressing required training, knowledge, and experience—state licensing laws that would allow nurses to provide care in other states is a critical part of the conversation. Cross-state licensure will not only alleviate the burden placed on health systems and its workforce during a pandemic but also help organizations prepare future unforeseen challenges.

Implicit Bias Training Helps Eliminate Healthcare Disparities

From hospitals and clinics to data warehousing companies, overcoming implicit biases with the help of up-to-date data can improve patient care and team member equity. Allina Health and Health Catalyst used data to discover that implicit biases existed within their companies. At Allina Health, these implicit biases proved to be a barrier to patient care. They negatively impacted patient access to important resources like hospice care. At Health Catalyst, the leadership team realized there was a lack of women in leadership positions and a general lack of diversity in the technology sector. Leadership teams at both organizations invested in creating implicit bias trainings to equip team members with tools to overcome their biases.

Activity-Based Costing in Healthcare During COVID-19: Meeting Four Critical Needs

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.

Weekly News Roundup: June 12, 2020

This week, the CDC issued interim guidelines for antibody testing in clinical and public health settings, which will be used for monitoring and responding to the COVID-19 pandemic. But, antibody tests may be raising more questions than they're answering. In this week's news roundup: why the CDC says "less than half" of antibody tests may be correct; why immunity to COVID-19 is so complicated; maps and dashboards show new coronavirus hotspots and reopening dates; and more.

Beginning the Conversation: Health Equity

Equity impacts the fabric of society down to the type and quality of healthcare different racial and ethnic patient populations receive. COVID-19 has underscored disparities in healthcare delivery in the United States, as the pandemic has disproportionately affected the nation’s black communities. To care for and recognize the value of all individuals, healthcare must leverage data and analytics to better understand patient populations by race and ethnicity and determine how to meet the needs of its underserved populations.

How to Scale Telehealth Solutions to Increase Patient Access During COVID-19

As health systems have faced a drop in routine, non-emergent patient care due to the novel coronavirus, they have had to be flexible and find new methods of care delivery to ensure patient access. Telehealth—using a digital platform to conduct are remotely—benefits both patients and health systems. Although laying the groundwork for telehealth and then scaling telehealth solutions is challenging, virtual care leads to increased patient access, better patient retention, and overall reduced costs for health systems, employers, and patients. With the right tools to build a reliable framework, organizations can effectively deliver quality care to patient populations, no matter where they live.

How Data Transforms the Hospital Command Center to Pandemic Proportions

Hospital command center leaders have never had to run an incident response on the scale of the COVID-19 pandemic. Whereas a typical emergency event (e.g., flooding, earthquakes, multivehicle collisions, or shootings) causes rapid patient influx with an identifiable starting and stopping point, the novel coronavirus has an ongoing, inestimable impact. The extensive duration, combined with high transmission risks and a massive scope of impact, demand that health systems prepare for complex facility, equipment, and staffing needs. Their best strategy is to leverage data-driven tools to scale their existing emergency response plans for COVID-19’s unprecedented proportions.

A Complete Guide to MIPS Quality Measures

This comprehensive guide includes 12 frequently asked questions about Merit-based Incentive Payment System (MIPS) quality measures. This guide will help increase your understanding of MIPS quality measures so you can choose the best quality measures for your team. Find answers to your questions, including: Where can I find a list of MIPS quality measures? What are specialty measure sets and how do they categorize MIPS quality measures? What are submission methods for MIPS quality measures? How are benchmarks used to score your performance in MIPS quality measures? What is the burden of different MIPS quality measures?

Weekly News Roundup: June 5, 2020

This week, the CDC issued interim guidelines for antibody testing in clinical and public health settings, which will be used for monitoring and responding to the COVID-19 pandemic. But, antibody tests may be raising more questions than they're answering. In this week's news roundup: why the CDC says "less than half" of antibody tests may be correct; why immunity to COVID-19 is so complicated; maps and dashboards show new coronavirus hotspots and reopening dates; and more.

Weekly News Roundup: May 29, 2020

This week, the CDC issued interim guidelines for antibody testing in clinical and public health settings, which will be used for monitoring and responding to the COVID-19 pandemic. But, antibody tests may be raising more questions than they're answering. In this week's news roundup: why the CDC says "less than half" of antibody tests may be correct; why immunity to COVID-19 is so complicated; maps and dashboards show new coronavirus hotspots and reopening dates; and more.

The Able Health Quality Measures Solution: Why a Comprehensive Approach Matters

Able Health combines all claims and clinical data from a health system’s data sources (inside and outside of the hospital) into one location, allowing healthcare leaders to focus more on improving care and less on data management. The combination of a measures engine that calculates performance, a performance dashboard that displays measure performance, and a submission engine that submits data to payers, all powered by the Health Catalyst® Data Operating System (DOS™), enables health systems to identify areas for improvement based on one complete picture of quality performance.

Restarting Ambulatory Care and Elective Procedures: Analytics Guide Safe, Pragmatic Decisions

As Health Catalyst continues to engage its health system partners in their COVID-19 journeys through virtual client huddles, topics are delving further into restarting ambulatory care and elective procedures. The May 21, 2020, forum explored how organizations are responding to the pandemic and planning for the next phases. Participants explored two vital topics in the COVID-19 era: How virtual care analytics supports rapid change in ambulatory care delivery. How analytic insights help drive a COVID-19 financial recovery plan.

Weekly News Roundup: May 22, 2020

As states across the country ease stay-at-home orders, healthcare organizations look to restart elective procedures and develop financial recovery strategies. In this week's news roundup: hospitals begin the road to recovery; understanding the implications of the stimulus relief package; how one health system used advanced analytics in their financial recovery plan; and more.

Health Systems Share COVID-19 Financial Recovery Strategies in First Client Huddle

More than 100 attendees joined the first of a series of Health Catalyst virtual client huddles designed to support client partners and aid collaboration and direct client connections in this time of unprecedented change. According to an April 2020 survey of Health Catalyst clients, 72.6 percent said they had a strong interest in examples, guidance, and tools from other health systems. In the client-only session, insights shared included the most common COVID-19 analytic projects and one health system’s elective surgery plan. The health system shared the challenges they faced in understanding the financial impact of halting elective surgeries as well as creating a plan for working through their backlog. They also shared the tools and strategies they are using to…

Weekly News Roundup: May 15, 2020

As the COVID-19 pandemic continues to threaten millions of lives around the world, new realities are significantly impacting every aspect of healthcare, from how care is delivered to how we work and communicate. In this week's news roundup: using remote patient monitoring to drive pandemic communication; how virtual care analytics supports rapid change in ambulatory care delivery; remote healthcare work best practices; and more.

The Top Five Insights into Healthcare Operational Outcomes Improvement

Effective, sustainable healthcare transformation rests in the organizational operations that power care delivery. Operations include the administrative, financial, legal, and clinical activities that keep health systems running and caring for patients. With operations so critical to care delivery, forward-thinking organizations continuously strive to improve their operational outcomes. Health systems can follow thought leadership that addresses common industry challenges—including waste reduction, obstacles in process change, limited hospital capacity, and complex project management—to inform their operational improvement strategies. Five top insights address the following aspects of healthcare operational outcomes improvement: Quality improvement as a foundational business strategy. Using improvement science for true change. Increasing hospital capacity without construction. Leveraging project management techniques. Features of highly effective improvement projects.

Weekly News Roundup: May 8, 2020

As the country moves toward the next phase of its COVID-19 response, leaders will need to leverage data analytics to stay ahead of the virus and safely reopen. In this week's news roundup: how big data analytics will factor into the next phase of COVID-19; restarting elective surgery in the COVID-19 era; how one health system used analytics to understand the financial impacts of COVID-19 and aid their elective surgery restart; and more.

The Healthcare Analytics Adoption Model: A Roadmap to Analytic Maturity

The focus on analytics is contributing to the “EHR problem”—doctors prioritizing the EHR over patients. The Healthcare Analytics Adoption Model (HAAM) walks healthcare organizations through nine levels that lay the framework to fully leverage analytic capabilities to improve patient outcomes: Level 1. Enterprise Data Operating System Level 2. Standardized Vocabulary & Patient Registries Level 3. Automated Internal Reporting Level 4. Automated External Reporting Level 5. Waste and Care Variability Reduction Level 6. Population Health Management & Suggestive Analytics Level 7. Clinical Risk Intervention & Predictive Analytics Level 8. Personalized Medicine & Prescriptive Analytics Level 9. Direct-To-Patient Analytics & Artificial Intelligence Analytics are crucial to becoming a data-driven organization, but providers and administrators can’t forget about the why behind the data—to…

Population Health Management: A Path to Value

As value-based care (VBC) definitions and goals continue to shift, organizations struggle to create a roadmap for population health management (PHM) and to track associated costs and revenue. However, health systems can move forward with PHM amid the uncertainty by following the best practices of a path to value: Begin with Medicare Advantage—a good growth opportunity with low barriers to entry. Focus on ambulatory, not acute, care as it delivers more value. Leverage registries based on utilization to identify the most impactable 3 to 10 percent of utilizers. Simplify the physician burden by focusing on reasonable measures.

The Biggest Barriers to Healthcare Interoperability

Improving healthcare interoperability is a top priority for health systems today. Fundamental problems around improving interoperability include standardization of terminology and normalization of data to those standards. And, the volume of data healthcare IT systems produce exacerbates these problems. While interoperability regulations focus on trying to make it easy to find and exchange patient data across multiple organizations and HIEs, the legislation’s lack of fine print and aggressive implementation timelines nearly ensures the proliferation of existing interoperability problems. This article discusses the biggest barriers to interoperability, possible solutions to interoperability problems, and why it matters.

Using Improvement Science in Healthcare to Create True Change

With improvement science combined with analytics, health systems can better understand how, as they implement new process changes, to use theory to guide their practice, and which improvement strategy will help increase the likelihood of success. The 8-Step Improvement Model is a framework that health systems can follow to effectively apply improvement science: Analyze the opportunity for improvement and define the problem. Scope the opportunity and set SMART goals. Explore root causes and set SMART process aims. Design interventions and plan initial implementation. Implement interventions and measure results. Monitor, adjust, and continually learn. Diffuse and sustain. Communicate Quantitative and Qualitative Results. With the right approach, an improvement team can measure the results and know if the changes they made will…