Abstract
The major tasks of medical consultation can be summarized as follows:
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sequential collection of findings and testing of their consistency
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interpretation of these findings in terms of a diagnostic model
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extrapolation of the natural course that is likely to follow (prognosis)
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formulation of therapeutic management plans and selection of initial therapy
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explanation and justification of the above reassessment and possible modification of diagnosis, prognosis and thersapy.
The applications of formal methods of decision making have until now mostly been concentrated on problems of diagnostic reasoning (1–4). Only few investigators have applied decision analysis and other techniques to treatment selection problems and even fewer have focused on the prognostic phase of the medical consultation process.
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References
Lusted L.B. Introduction to Medical Decision Making. Charles C. Thomas, Sprinfield I11., 1968
de Dombal F.T. and Gremy F. (Eds.). Decision Making and Medical Care: Can Information Science Help ? North-Holland Publ., Amsterdam, 1976, pp. 1–603
Clancey W.J. and Shortliffe E.H. Readings in Medical Artificial Intelligence. The First Decade. Addison-Wesley Publ. Comp., 1984, p. 1–512
Feinstein A.R., Rubinstein J.F. and Ramshaw W.A. Estimating prognosis with the aid of a conversational mode computer program. Ann. Int. Med. 76: 911–921, 1972
Willems J.L., Ector H., Pardaens J., Van Poecke G. and De Geest H. Use of the computer in determining prognostic determinants in acute myocardial infarction. Transactions Eur. Soc. Cardiol. 1: 63, 1978
Willems J.L., Dekeyser L., Pardaens J. and De Geest H. A data base for the assessment and prognosis in acute myocardial infarction. MEDINFO 80 (Lindberg D.A. and Kaihara S., Eds.), North Holland Publ. Co., 1980, p. 1024–9
Willems J.L., Pardaens J. and De Geest H. Early risk stratification using clinical findings in patients with acute myocardial infarction. Eur. Heart J. 5: 130–9, 1984
Pardaens J., Lesaffre E., Willems J.L. and De Geest H. Multivariate survival analysis for the assessment of prognostic factors and risk categories after recovery from acute myocardial infarction. Amer. J. Epidemiology, (in press).
Pardaens J., Dekeyser L., Lesaffre E., Willems J.L. and De Geest H. Robustness of prediction and influence of sample size, age and sex on prognostic factors for long-term survival after myocardial infarction. In Computers in Cardiology 1984 (Ed. Ripley K.L.) IEEE Computer Society, Long Beach (in press)
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Willems, J.L., Pardaens, J., Lesaffre, E., Dekeyser, L., De Geest, H. (1985). Probabilistic Prognostic Decision Making: A Clinical Example. In: Roger, F.H., Grönroos, P., Tervo-Pellikka, R., O’Moore, R. (eds) Medical Informatics Europe 85. Lecture Notes in Medical Informatics, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93295-3_24
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DOI: https://doi.org/10.1007/978-3-642-93295-3_24
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