Healthcare analytics company Medalogix recently announced its newest technology, SunLeaper. This home health utilization management and care planning tool leverages prescriptive analytics to recommend home health patient care plans based on the historical analysis of tens of thousands of patient records, care plans and outcomes. The announcement came after Vanderbilt data scientists peer reviewed the Medalogix models and found them to be more accurate than the Center for Medicare and Medicaid Services' (CMS) publicly available risk adjustment models.
The technology analyzes each patient's physiological assessment. Based on how his or her unique health status compares to ten of thousands of previous patients' outcomes, the technology then prescribes visit frequencies by specific disciplines, like nursing or physical therapy