Mini Symposia Presentations

Date

2014-05-20

Document Type

Presentation

Description

This collection of presentations is from the mini-symposium entitled "Systems Science and Health: Using Analytical Approaches to Evaluate Healthcare Policy Decisions." The focus of this symposium is on systems science applications to health research. Systems science is a collection of analytical computer simulation techniques which are used to evaluate optimize and improve healthcare delivery processes. These techniques account for the complexity of the healthcare system and healthcare processes by modeling nonlinear relationships between variables, the feedback effects, delays and soft variables. The analysis stresses heterogeneity of agents, resistance to change, potential unintended consequences, and behavioral emergence in complex systems. Such models use historical data to simulate the operations of healthcare systems providing an approximation of future outcomes. The presenters will discuss several different types of simulations methods, highlight recent advances, and describe funding opportunities from the National Institutes of Health. Examples from chronic disease patient chains, physician incentive redesign, clinic staffing and Emergency Department redesign will be discussed.

Keywords

systems science, computer simulation, healthcare delivery

Comments

Presented at the 2014 UMass Center for Clinical and Translational Science Research Retreat, held on May 20, 2014 at the University of Massachusetts Medical School, Worcester, Mass.

DOI

10.13028/b4ge-7a23

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Creative Commons License

Creative Commons Attribution-Noncommercial-Share Alike 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

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May 20th, 4:00 PM

Systems Science and Health: Using Analytical Approaches to Evaluate Healthcare Policy Decisions

This collection of presentations is from the mini-symposium entitled "Systems Science and Health: Using Analytical Approaches to Evaluate Healthcare Policy Decisions." The focus of this symposium is on systems science applications to health research. Systems science is a collection of analytical computer simulation techniques which are used to evaluate optimize and improve healthcare delivery processes. These techniques account for the complexity of the healthcare system and healthcare processes by modeling nonlinear relationships between variables, the feedback effects, delays and soft variables. The analysis stresses heterogeneity of agents, resistance to change, potential unintended consequences, and behavioral emergence in complex systems. Such models use historical data to simulate the operations of healthcare systems providing an approximation of future outcomes. The presenters will discuss several different types of simulations methods, highlight recent advances, and describe funding opportunities from the National Institutes of Health. Examples from chronic disease patient chains, physician incentive redesign, clinic staffing and Emergency Department redesign will be discussed.