Analyzing population health management (PHM) efforts is complicated. Many of the measures that are top-of-mind for health systems and other organizations are centered around the need to report on their population health management efforts so they can get paid. These requirements are unavoidable, but are “noise” in the big picture of population health management data—because what you’re being asked to report on is not the set of things that will necessarily make you better as an organization . Or even if it is, the measure is an absolute outcome measurement, not something that helps you understand how to improve what you do. Many measures also only assess the clinical services delivered, ignoring the social and behavioral factors negatively impacting patients that may need to be addressed before any improvement from clinical care can be realized. Read more “Avoiding the Noise—Making Sense of Population Health Management Data”
Interoperability is the most persistent and fundamental challenge the healthcare industry faces today—and the industry spends tremendous energy trying to solve it. But interoperability discussions that focus solely on how to connect system A to system B miss the point. The real challenge is not just creating a free flow of data between systems, but figuring out how to move information in a meaningful way so that it is useful in a different context, and merging workflows so that people can do their jobs more efficiently. Read more “Why Is Interoperability Important?”
How the Digital Health Initiative of Philadelphia Began
Named the “poorest big city in America,” Philadelphia has plenty of challenges, and one of the most damaging is the impact on our poor communities in the area of healthcare. Philadelphia County has more than 500,000 Medicaid enrollees, and care for these vulnerable populations strains the entire healthcare system, diverting resources from other areas of investment that would otherwise benefit our region. Poverty costs us jobs, new business development, tourism, and other growth opportunities.
This blog is part 2 of a discussion of value-based care—the new paradigm in which care is no longer delivered only by doctors and nurses, but by an entire community of providers that treat the “whole” patient rather than just treating the disease. The focus is on treating the entirety of a patient’s needs to bring about better health outcomes—which means that communication and care plans no long reside solely within a doctor’s office. To achieve this objective, the industry is migrating to a de facto set of standards that it is believed will take us down the right path. Read more “Value-Based Care—The Future of Health Care: Part 2 of 2”
Value-based care creates a new paradigm—one in which care is no longer delivered only by doctors and nurses, but by an entire community of providers that treat the “whole” patient rather than just treating the disease. Communication and care plans can no longer live inside the four walls of a doctor’s office, but must integrate information from the community to fully address the needs of the patient and of the population. Further, those members of a patient’s care team must work together to deliver an effective and coordinated treatment experience. This blog—part 1 of a 2-part series—introduces the idea of value-based care, and discusses how integrating care coordination with robust analytics into a single platform provides the big picture of patient care, enabling efficient, collaborative care for diverse teams to treat complex populations. Part 1 is an introduction, intended for those starting to explore the idea of value-based care. Stay tuned for Part 2, which will be a deeper dive into some of the key issues facing the industry.
Remember the days when you had to use two different platforms for phone calls and for calendaring and task management? In today’s iPhone/Android laden world, such a separation seems heretical. Yet in healthcare’s hot new niche of population health management, we see that same heresy in the artificial, and suboptimal divide between care coordination/management software and analytic software. Read more “Care Coordination and Analytics Together”
We’ve been talking about using health information technology to leverage both algorithmic automation and expert-human execution for your coordinated care and population health management program. Our last post introduced the first step to effective and efficient collaborative care: Population Determination & Outreach. After defining the patient population in need of care coordination and successfully reaching out to this group, it’s time for the second stage: Care Team Assignment & Composition. Read more “Care Coordination Automation: Use Your Technology, Part II”
This is the age of automation and applications. This is the age of healthcare reconstruction. Fuse these trends and you get a force much greater than its individual parts: powerful technology that catalyzes comprehensive, efficient and cost-effective coordinated care for accountable care organizations (ACOs) and other collaborative care models. Read more “Care Coordination Automation: Use Your Technology, Part 1”
After you have established a clear picture of your patient population, created a solid care coordination network, developed a robust program performance monitoring system, and re-aligned your Accountable Care Organization payment model, there’s one final and critical step on your path to ACO success… Read more “Accountable Care Success Steps: Engaging Your Patient Population”