The shift from volume-based to value-based purchasing and the emergence of accountable care organizations are creating a focus on comprehensive management of the health and well-being of patient populations. This doesn’t mean that individual patient care processes are unimportant or unnecessary. It does mean that healthcare systems need to improve both individual patient care processes, while at the same time learning how to manage the entire population of patients they serve. Learn more about population health management and how it is interrelated, but different than public health.
Payers and providers have the same goals—both want to improve patient care and lower the cost trend. Obviously, collaboration is key. Bobbi identifies 3 collaborative best practices to pave the road for a productive, beneficial relationship: 1) clinical measurements and metrics, 2) payer-provider transparency, and 3) joint clinical improvement.
One of the major contributing factors to escalating hospital costs is patient variation and waste associated with the delivery of care. Hospitals have begun to address waste through a variety of methods such as Six Sigma, LEAN and other healthcare quality process improvement techniques. While these methods are effective at dealing with administrative costs, a much greater return can be gained by concentrating on the clinical or patient care costs. Clinical work teams coupled with data and healthcare analytics reduce costs by helping your organization reduce variation, leading to lowering cost trends as the revenue trend flattens. To fully understand your costs and identify areas of waste, you need good data.
Many CIOs, along with their other C-suite colleagues, are anticipating a catharsis on completing massive EHR deployment projects. Before long, however, they come to the unwelcome realization that the EHR is just one component needed to provide the actionable intelligence health systems need to survive in a value-based purchasing environment.
Each year, TDWI identifies and honors companies demonstrating “best practices in developing, deploying, and maintaining applications for business intelligence (BI), data warehousing (DW), and related data management (DM) areas.” Nominees are evaluated based on business value, the degree to which the solution “vision” has been implemented, relevance to other organizations, and the innovation association with the approach. This year, Stanford Health Care and Health Catalyst were honored as winners of the 2013 Best Practices award for the Enterprise Data Warehousing category from TDWI.
“The EHR alone is not enough without a data platform that enables an
enterprise wide, consistent view of data from many sources. Since this
challenge seems to be pervasive, let me offer a perspective on some of
the most oft-repeated data questions posed by health system leaders.”
Population health management is definitely a hot topic in healthcare today, so I’m excited for the opportunity to weigh in on it with this commentary. In a series of posts, I’ll explore: 1) The evolution of population health management, 2) Data needs for effective population health management, 3) Population health business models, 4) Vendor solutions.