ALY 6410 — Healthcare Analytics: From Data to Decisions
2 semester hoursGraduateLecture
Offers a comprehensive introduction to healthcare analytics, including understanding the healthcare system and its data sources to master different types of analytics—descriptive, predictive, and prescriptive. Analytics is essential for advancing healthcare systems, involving quantitative methods to generate insights, support decision making, and enhance the quality of care. Essential topics include clinical analytics, population health management, quality improvement, research and development, and operational analytics. Applies theoretical concepts to real-world challenges through a case study approach, tackling problems like predicting hospital readmissions, optimizing staffing levels, and improving surgery scheduling. Investigates various data sources and the roles of governance entities in generating and safeguarding these data.