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Modelling the dynamics of decision‐making for emerging medical technologies
Author(s) -
Finkelstein S. N.,
Homer J. B.,
Sondik E. J.
Publication year - 1984
Publication title -
randd management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.253
H-Index - 102
eISSN - 1467-9310
pISSN - 0033-6807
DOI - 10.1111/j.1467-9310.1984.tb00514.x
Subject(s) - emerging technologies , management science , health technology , computer science , risk analysis (engineering) , technology assessment , data science , engineering , business , artificial intelligence , economics , health care , political science , law , economic growth
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.