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Data and Analytics Strategies Advancing Value-Based Care Contracts
Value-based care contracts can be difficult to advance with today’s healthcare labor shortages, lower revenues, and skyrocketing operating costs. Outlined in this article are data and organizational strategies that align provider networks, incentives, and meet VBC quality and efficiency goals
The Use of Technology to Improve GDMT Compliance for Heart Failure
Learn how automated patient engagement technology can be deployed to help providers optimize heart failure treatment while lessening the care team burden at each phase of the patient’s journey, including:
Value-Based Care Five Key Competencies for Success
This white paper reviews the stages of value-based contracting, including the difficult lessons learned by early clinically integrated systems, the new dynamics that drive VBC success, and the key interventions that impact contracts. The paper also explains how, by leveraging a framework based on a thorough understanding of five population health management (PHM) competencies, health systems can drive effective clinical and financial outcomes across the value-based care continuum.
How to Use AI in Healthcare to Unlock Four Secrets in Your Data
Today’s healthcare leaders want their organizations to be data driven. However, many leaders incorrectly interpret data and analytic visualizations. Without accurate interpretation of analytics, healthcare leaders don’t have real data-driven insight to know how to strategically improve and measure wins and losses. Concerningly, only 4% of analysts, department leaders, executives, and board members can correctly identify the following four pivotal pieces of information in a line chart:1. Baseline performance.2. Extreme historical points.3. Persistent shifts in performance.4. Forecasted performance in six months.Is your organization’s leadership part of the 4% that can correctly identify these four points in data presented over time? If not, your data and analytics may be doing more harm than good.
Expedite Research Timelines, Optimize Research Design, and Improve Patient Outcomes Using a New Source of Research-Grade Data
Health Catalyst is committed to supporting life sciences organizations in expediting research timelines, optimizing research design, and improving patient outcomes through access to a new source of research-grade data, rapid cohort creation, automated patient engagement, and augmented intelligence. Learn how Health Catalyst is helping customers to:
2022 Healthcare Trends: 6 Defining Areas
After a turbulent 2020 and a 2021 the New York Times summed up as “languishing,” healthcare leaders are determined to pursue positive change in 2022. The pandemic still looms large, but health systems will also focus on other prominent performance drivers, following the lead of top performers in other industries that stress long-range tactics and prioritize consumers and data-driven decision making. With these strategies in place, trends in the following six areas will determine organizational success in 2022 and have a lasting impact on providers and patients:1. Health equity.2. Patient safety.3. Staffing.4. Care delivery.5. COVID-19 recovery.6. Payment and payers.
How Risk-Bearing Entities Work Together to Succeed at Population Health
Integrating healthcare delivery between risk-bearing entities, such as providers and insurers, is, on the surface, an important step towards population health management and value-based goals. However, even vertically integrated units tend to function separately around patient care. As a result, patients are spread thin between receiving care, navigating insurance, and more—a situation that degrades the patient experience, thwarts optimal outcomes, and interferes with value-based goals. However, some organizations are bridging the gap between healthcare entities to improve quality and decrease costs of caring for at-risk patient populations through a sustainable, collaborative population health model. By joining forces and using analytics to drive decisions and scale programs, truly integrated risk-bearing entities put patients at the center of care, meeting their healthcare needs in a more efficient, cost-effective way.
Playing to Win in 2022 in Healthcare Finance: How to Tackle Lower Volumes, Higher Costs, and Big Competition
Regardless of COVID-19 vaccine efficacy and how long it takes risk levels to fall into less threatening ranges, many effects of the pandemic are here to stay. One area that will remain fundamentally altered is the business of delivering healthcare—the strategies and ins and outs of healthcare finance. COVID-19 has fueled new delivery models and new competition, as patients and clinicians are drawn to more convenient, less costly care (e.g., virtual care) and less stressful, more productive work environments.So, how can traditional providers adapt and thrive in this new healthcare landscape? They must start by recognizing the impending challenge as a business problem, not a technology or care problem. This means leveraging their CFOs and financial leaders to play a more collaborative role in empowering clinicians to make better decisions and operationalizing health systems’ key differentiator—data.
High-Value Data and Analytics: Bringing Critical Healthcare Insights into Focus
A low-resolution photograph doesn’t show much detail about the image’s subjects and environment. Viewers can only guess about the scene or individuals they’re observing—are they familiar faces, happy or sad, or is there something usual in the background? Low-quality healthcare data and analytics works like a subpar photo. Users can see the most basic characteristics of a patient or trend but not enough detail to make informed decisions. For example, does a patient have comorbidities putting them at greater risk, or is a facility trending towards an increase in sepsis? For better view, high-quality data and analytics bring patients and health system operations into focus, showing a clear, comprehensive picture from the patient to facility level.
Why a Build-Your-Own Healthcare Data Platform Will Fall Short and What to Do About It
Health system may have some compelling reasons for choosing to build a data platform versus partner with a healthcare analytics vendor on a commercial solution. However, while organizations may think they’re saving money, gaining control and security, and more by opting for a homegrown approach, they’ll more than likely encounter challenges, hidden costs, and limitations. In comparison to a commercial-grade, healthcare-specific platform from a vendor, build-your-own solutions fall short when it comes to domain-specific content, technical expertise, total cost of ownership, and more. Organizations that partner on a vended platform vastly improve their chances of optimizing and scaling their analytic investment over time and achieving measurable improvement.
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