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Advanced Operations Research Techniques in Healthcare
( 30 Modules )

Module #1
Introduction to Operations Research in Healthcare
Overview of OR in healthcare, importance, and applications
Module #2
Linear and Integer Programming
Review of LP and IP, formulation, and solution methods
Module #3
Stochastic Processes and Queuing Theory
Key concepts and applications in healthcare, including queuing models and Markov chains
Module #4
Dynamic Programming
Principles and applications in healthcare, including inventory control and resource allocation
Module #5
Metaheuristics
Introduction to simulated annealing, genetic algorithms, and ant colony optimization
Module #6
Stochastic Optimization
Techniques for solving stochastic optimization problems, including scenario-based optimization
Module #7
Predictive Analytics in Healthcare
Introduction to predictive modeling, including regression, decision trees, and clustering
Module #8
Machine Learning in Healthcare
Introduction to machine learning, including supervised and unsupervised learning
Module #9
Text and Image Analytics in Healthcare
Applications of text and image analytics in healthcare, including natural language processing and computer vision
Module #10
Discrete-Event Simulation
Introduction to discrete-event simulation, including modeling and analysis
Module #11
System Dynamics Modeling
Introduction to system dynamics modeling, including stock-and-flow diagrams and feedback loops
Module #12
Agent-Based Modeling
Introduction to agent-based modeling, including application in healthcare
Module #13
Personnel Scheduling
Introduction to personnel scheduling, including mathematical models and solution methods
Module #14
Operating Room Scheduling
Introduction to operating room scheduling, including stochastic and dynamic models
Module #15
Resource Allocation
Introduction to resource allocation, including mathematical models and solution methods
Module #16
Supply Chain Management in Healthcare
Introduction to supply chain management, including inventory control and transportation
Module #17
Pharmaceutical Supply Chain Optimization
Introduction to pharmaceutical supply chain optimization, including inventory management and distribution
Module #18
Hospital Logistics and Materials Management
Introduction to hospital logistics, including transportation and inventory management
Module #19
Decision Analysis in Healthcare
Introduction to decision analysis, including decision trees and influence diagrams
Module #20
Multi-Criteria Decision Making
Introduction to multi-criteria decision making, including AHP and goal programming
Module #21
Group Decision Making and Negotiation
Introduction to group decision making and negotiation in healthcare
Module #22
Robust Optimization in Healthcare
Introduction to robust optimization, including uncertainty and robustness
Module #23
Machine Learning for Personalized Medicine
Introduction to machine learning for personalized medicine, including omics data analysis
Module #24
OR in Global Health
Applications of OR in global health, including disease modeling and resource allocation
Module #25
Case Studies in Healthcare Operations
Real-world case studies of OR applications in healthcare operations
Module #26
Applications of OR in Healthcare Policy
Applications of OR in healthcare policy, including policy evaluation and decision making
Module #27
OR in Healthcare Management
Applications of OR in healthcare management, including strategic planning and resource allocation
Module #28
Final Project Presentations
Student presentations of final projects applying OR techniques to healthcare problems
Module #29
Capstone Project Development
Guided development of a capstone project applying OR techniques to a healthcare problem
Module #30
Course Wrap-Up & Conclusion
Planning next steps in Advanced Operations Research Techniques in Healthcare career


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