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References (10)
-
J. Aikins, J. Kunz, E. Shortliffe, R. Fallat (1982)
PUFF: an expert system for interpretation of pulmonary function data.Computers and biomedical research, an international journal, 16 3
-
E. Shortliffe (1976)
Computer-based medical consultations, MYCIN -
C. Kulikowski (1980)
Artificial intelligence methods and systems for medical consultationIEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2
-
Lawrence Fagan, J. Kunz, E. Feigenbaum, J. Osborn (1979)
Representation of Dynamic Clinical Knowledge: Measurement Interpretation in the Intensive Care Unit -
H. Lundsgaarde (1987)
Evaluating medical expert systems.Social science & medicine, 24 10
-
Randy Teach, E. Shortliffe (1981)
An analysis of physician attitudes regarding computer-based clinical consultation systems.Computers and biomedical research, an international journal, 14 6
-
B. Buchanan (1985)
The MYCIN Experiments of the Stanford Heuristic Programming Project -
D. Berry, A. Hart (1990)
Evaluating expert systemsExpert Systems, 7
-
F. Dombal (1990)
Use of IT to Improve Care and Save Resources: Why Present Proposals are Worrying, and Why the UK is Losing GroundJournal of Management in Medicine, 4
-
W. McAdam, B. Brock, T. Armitage, P. Davenport, M. Chan, F. Dombal (1990)
Twelve years' experience of computer-aided diagnosis in a district general hospital.Annals of the Royal College of Surgeons of England, 72 2
- Publisher
- Emerald Publishing
- Copyright
- Copyright © Emerald Group Publishing Limited
- ISSN
- 0268-9235
- DOI
- 10.1108/EUM0000000001316
- Publisher site
- See Article on Publisher Site
Abstract
Todays doctors require decision support aids to help them copewith the management of increasing amounts of medical informationrecords, research advances, new drugs, make appropriate choices andeven to substitute in an experts absence. Such aids exist in the formof medical expert systems, which are complex computer programs thatemulate clinical reasoning. Expert systems consist of a knowledge basein which doctors expertise is encoded and an inferenceengine which manipulates that knowledge. A number of successfuldiagnostic, management and combined systems are in use but these are asmall fraction of the total available. Preventing wider usage aredifficulties in evaluation as well as in response time. Significantimprovements in resource management can be obtained by the deployment ofmedical expert systems, so they are predicted to influence profoundlythe future of health care in general practice and hospitals alike.
Journal
Journal of Management in Medicine – Emerald Publishing
Published: Mar 1, 1991