Healthcare Data Analytics Blog

Evaluating the relationship between episode of care and length of stay in Appendicitis: In previous posts we have discussed some of the ways episodes of care can be used to compare two different networks and underlying practice patterns. We’d like to dive further on this thread and look at how episodes of care can be … Episodes of Care – Appendicitis

The shift of medical care from the inpatient to outpatient setting coupled with the emphasis on transformative designed patient-centered medical home models provides measurement challenges and opportunities. The challenges are how to effectively measure quality in this setting given the range of services that are provided—from routine preventive care to complex surgical and invasive procedures. … Ambulatory Care – Measuring Quality and the Impact of Nursing

The New York Times recently reported on allegations that a hospital chain was unnecessarily admitting patients from the emergency department (ED) to increase revenues from Medicare and Medicaid[1]. According to the article, one hospital was accused of maintaining a scorecard to keep track of physicians who did not meet a target of admitting at least … Admissions from the ED

In previous blogs, we’ve discussed Population Management concepts and given specific examples of pediatrics, ACO, and clinical populations. In this blog we turn to the Medicaid population. Medicaid has unique characteristics because of the nature of the financing and because of the social demographics of the population served. This population is going through big changes … Medicaid Population Management

Healthcare spending in the United States far exceeds that in other developed countries and the American health care system is widely recognized as wasteful. The Congressional Budget Office has concluded that up to 30 percent of the healthcare in the U.S. is unnecessary. Such estimates of waste are generally based on aggregate data such as … Eliminating Waste in the Healthcare System

In our series of blog postings on the topic of Population Health Management, we have discussed how to define populations in Analytics for Population Health Management, and we have looked at the types of analytic tools available for analysis of populations in