Rapporteur summary: the potential for modeling the health care decision-making process

Maximum Max

doi:10.1117/12.195337

6 December 1994 Rapporteur summary: the potential for modeling the health care decision-making process

Maximum Max

Proceedings Volume 2307, Health Care Technology Policy I: The Role of Technology in the Cost of Health Care; (1994) https://doi.org/10.1117/12.195337
Event: The Role of Technology in the Cost of Health Care, 1994, Arlington, VA, United States

Abstract

Today's remaining sessions are directed toward examining the health care decision-making process. The breakout that follows this plenary session will examine new medical missions for the national laboratories and Federal capabilities at system modelling. The general public is familiar with models in one form or another, but modelling in the engineering sense is not often well understood nor accepted by non-engineers. There are various reasons for modelling a system. The most prevalent reasons are: (1) to determine how a system works; and (2) to predict the system response (output or outcomes) to various external perturbations (stimuli) or to changes in system parameters. A good model of a system is essential to the analyses of many processes even though not all models render valid results. Most engineers are accustomed to the logical process of model development, verification, validation, and reiteration to improve the model's applicability and prediction capability.

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Maximum Max "Rapporteur summary: the potential for modeling the health care decision-making process", Proc. SPIE 2307, Health Care Technology Policy I: The Role of Technology in the Cost of Health Care, (6 December 1994); https://doi.org/10.1117/12.195337

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