HCIN 525 Hlthcare Case Studies Predict Analy

This course is an elective course for graduate students studying Healthcare Informatics, Nursing, Pharmacy, Information Systems Engineering and Management, or Analytics and is intended to develop their understanding of using patient and administrative data to predict relevant outcomes and develop healthcare models. The course explores foundational concepts in data management, processing, statistical computing, and dynamic visualization. In this course, the student will investigate patterns, derive predictions in healthcare areas, and build models using selective predictive analysis techniques such as nonlinear regression, decision trees, probabilities, staffing models, queuing theory, event prediction, time series, rule-based modeling, and data visualization. The instructor will use case studies, and practical applications, small group projects, individual assignments, and a major course project to introduce students to simulations using existing data to master the various predictive models of healthcare analysis.