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IEMS 443: Health Policy Modeling


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Prerequisites

None

Description

Phd level course on the application of mathematical, statistical, economic, and systems models to problems in health policy.

Topics

  • Disease screening
  • Diagnosis
  • Treatment
  • Assessment of medical technologies
  • Organ allocation policies
  • Capacity planning

The policy issues studied will encompass a variety of diseases and health conditions including HIV/AIDS, coronary artery disease, asthma, hepatitis C, liver transplants, and pandemic influenza.

The analyses will encompass a variety of modeling techniques including simple cost analysis; costeffectiveness analysis; statistical and probabilistic analysis; decision analysis; risk analysis; simulation; Markov models; linear programming; Markov decision processes, and simulation and control of dynamical systems.