An Explanation Of What Predictive Modeling Is And What It Can Do

1239 WordsMay 2, 20175 Pages
Introduction As health care moves towards new care delivery and value-based payment models, many of the healthcare organizations are supporting population health management. As a result of helping individuals manage their own health, they consequently need less health care, and by proactively managing the care of chronically ill patients, these organizations pursue to improve the quality of care, decrease health costs, and enrich the patient experience. In order to manage population health, group practices and healthcare systems must form the necessary infrastructure, including software tools designed for data analysis and workflow automation. The front end of this IT infrastructure is a kind of analytic solution known, variously, as…show more content…
Developers of predictive analytics, often use large public databases as the foundation of their models. Other models are built by means of data about certain patient populations. Ten percent of patients generate roughly 70% of health costs; five percent account for half of health outlays.1-2 By pinpointing which individuals are high risk or probable to become high risk, care teams can intermediate them to improve their outcomes and reduce health costs. Majority of health insurers offer case management, disease management, and health coaching programs to these members. Some healthcare organizations pursue to ensure that high-risk patients receive required services and day-to-day provision from care managers. To improve outcomes and reduce costs, organizations must tie predictive analytics with workflow automation tools that permit care teams to intermediate the right patients at the right time in the right way. Applying Predictions Predictive analytics are useless if their insights do not prompt actions. Hart and Handmaker state "In particular, automated messaging sent within 24 hours of a patient’s discharge can be beneficial in at least two important ways. First, when sent to high-risk patients, such messaging can help hospitals reduce readmissions to avoid Medicare penalties. Second, it can enhance patient satisfaction, thereby helping to improve the organization’s marketing
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