- Published in International Journal of Business Intelligence and Data Mining (Inderscience) -

Utilising Neural Network Applications to Enhance Efficiency in the Healthcare Industry: Predicting Populations of Future Chronic Illness

Author(s): Stephan Kudyba; G. Brent Hamar; and William M. Gandy

Int'l Journal of Business Intelligence and MiningAdvanced analytic and forecasting methodologies can enable organizations to more fully leverage the data resources available to them. In the healthcare industry, service providers can use data mining methods to enhance the decision-making process in optimising resource allocation by identifying the sources of future high-cost treatment in a given health plan population. The following paper includes a case study by Healthways Inc. that illustrates how predictive modelling techniques (e.g., neural networks) can help healthcare providers identify the sources of future high resource demand, enabling them to more effectively apply preemptive treatment to mitigate future high-cost treatment of fully developed cases of chronic illness.

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Topics: Performance/Productivity Peer Reviewed Health Plan & Health System Medical Costs & Utilization Predictive Modeling