Data-Guided Healthcare Decision Making

Ramalingam Shanmugam received Ph.D. degree from Temple University. Since 2016, he is honored with title honorary professor of international studies at Texas State University. He is a passionate teacher. Students nominated him to Honor Society of Phi Kappa Phi. He published over 178 research articles in frontline national and international journals. In 1984, he was elected to be a fellow of the International Statistical Institute. In 2021, he was selected to be a fellow of the American Statistical Association. He is the Book Review Editor for the Journal of Statistical Computation and Simulation. He has published five books.

• 1. Why and how healthcare decisions are made; 2. Are data guided healthcare decisions superior?; 3. Software: EXCEL, Microsoft Mathematics and JASP; 4. How to collect authentic data; 5. Uncertainties and their impact on healthcare decision; 6. Why models are important in healthcare; 7. How healthcare decision trees emerge and function; 8. How are group decisions practiced in healthcare?; 9. Tracing and remedying root causes of adversities; 10. Healthcare decision making for cost-effectiveness; 11. Risk analysis in healthcare decision making; 12. Evaluation of healthcare programs; 13. Six sigma and lean management in healthcare sectors; 14. Forecasting in healthcare sectors.

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