Healthcare Data Analytics Blog

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

For many reasons, including the advent of the Affordable Care Act, Population Health Management is gaining increased attention from healthcare organizations. A population health initiative has the promise to make care proactive, better coordinated and more customized for the population. A previous blog posting – Analytics for Population Health Management – outlined how populations are … Identifying Appropriate Metrics For Population Management

As more and more states create APCDs, their uses are expanding and evolving. Data generated by APCDs are being used to generate disease, injury, chronic condition, and utilization rates across demographic and geographic settings, as well as by payer type.  States are also contemplating linking administrative claims data with clinical data in order to better … PHI and APCDs