The development and evaluation of a hybrid decision support system for clinical decision making

The case of discharge from the military

Bibliographic Data

ID12790062
AuthorsRami Benbenishty (0000-0003-4041-9650, Hebrew University of Jerusalem, corresponding author), R Treistman
Year1998
Volume22
Issue4
Pages195-204
Publication date1998-12-01
Open AccessNo
TypeARTICLE
VenueSocial Work Research (JOURNAL)
Journal identifiersISSN: 1545-6838 • E-ISSN: 1070-5309
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/swr/22.4.195
OpenAlexW2084345957
LanguageEN
Citations received3

This article reports on the development, implementation, and evaluation of a decision support system (DSS), a hybrid of a statistical model (regression equation) and expert rules, to support this decision. The study focused on the decisions made by social workers, psychologists, and psychiatrists serving as military mental health officers to recommend discharge from compulsory duty in the Israeli army because of mental or emotional difficulties. The process involved three consecutive steps: modeling decisions by statistical analysis of past and current decisions and by eliciting expert rules, developing a hybrid decision support system, and evaluating the DSS through empirical validation and a user survey. The validity of this hybrid DSS was established. The DSS was able to predict 86.5 percent of new decisions made by mental health officers and 70 percent of past decisions. User acceptance, on the other hand, was low. This article discusses these findings and their implications for practice

Decision support system · Empirical research · Mental health · Process (computing · Psychiatry · Social support · Clinical Reasoning and Diagnostic Skills · Computer Science · Psychology · Applied Psychology · Artificial Intelligence · Social Psychology

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