Modelling the dynamics of decision-making for emerging medical technologies |
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| Authors: | S N Finkelstein J B Homer E J Sondik |
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| Institution: | Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;Biometrics and Operation Research Branch, Division of Resources, Centers, and Community Activities, National Cancer Institute, National Institutes of Health, Bethesda, MD 20205, USA |
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| Abstract: | There has been considerable interest in systematic methods for technology assessment that can be used to evaluate the social impact of medical practices. Policy-makers have been attracted to these methods because they offer a capability to logically and systematically analyze a decision. Assessing newly "emerging" technologies proves most difficult because practitioners' perceptions of their clinical effectiveness are continually changing. We propose and illustrate a mathematical model framework which, when simulated by computer, could serve as a tool to help analyze future consequences of hypothetical alternative public policies for emerging medical technologies. |
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