Track Description

Healthcare and Public Health managers, officers, and practitioners are constantly challenged by complex operational and strategic issues with extensive implications to patients, stakeholders, and industries. Hospitals, clinics, public health institutions and other healthcare venues continuously seek innovative ways to enhance efficiencies, and thus, decrease their costs while maintaining their financial viability as well as their quality of care delivered. To accomplish these efficiencies, many managers and health professionals design and implement interventions that assist in addressing these complex issues. Quantitative methods such as Modeling and Simulation (M&S), mathematical programming, and Markov Chains have the potential to successfully assist in exploring, understanding, and addressing these issues. Particularly, simulation models and optimization frameworks may provide sophisticated mechanisms that assist in capturing and processing the intricacies associated with these challenges.

The purpose of this track is expressed as follows:

  • To present innovative research that demonstrates the role of simulation models and optimization frameworks in the healthcare and Public Health domains.
  • To describe novel techniques that can be used in the Healthcare and Public Health arena.
  • To propose an agenda for simulation and optimization frameworks research in this area.

Some prospective topics for the track include:

  • Healthcare operations management.
  • Population Health.
  • Terminal or Chronic Disease management.
  • Gentrification.
  • Patient-centered medical homes.
  • Climate Change and Public Health.
  • Emergency Department.
  • Reducing Health inequality, i.e. Healthcare access.
  • Economic models of financing of healthcare services.
  • E-health.
  • Community Health.
  • Healthcare training and optimizations.
  • Standards on healthcare delivery.
  • Others.

For further information please contact Rafael Diaz and Eduardo Cabrera.

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