Healthcare Modelling and Quantitative Analysis: Developing Evidence-Based Models for Healthcare Decision-Making

Course Overview This course provides practical knowledge and hands-on experience in developing quantitative models for healthcare analysis, forecasting, performance evaluation, and evidence-based decision-making. Participants will learn how to design, build, validate, and interpret healthcare models using statistical, econometric, forecasting, and artificial intelligence techniques. The course covers model development from problem identification and data preparation to model validation and practical implementation. Through practical exercises, real-world healthcare datasets, and project-based learning, participants will develop robust analytical models that support healthcare planning, resource allocation, performance improvement, and strategic decision-making across healthcare organisations. Suitable For • Healthcare Managers and Administrators • Health Economists • Healthcare Data Analysts • Public Health Professionals • Health Policy Analysts • Researchers and Academics • Monitoring and Evaluation Specialists • Ministry of Health Professionals • Healthcare Planning Officers • Hospital Performance Analysts • PhD and Master's Students • Graduates seeking practical modelling and quantitative analysis skills