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[Systems assisting decisions in clinical medicine]
M De Bernardinis1, V Violi, L Roncoroni
1Istituto di Clinica Chirurgica Generale e Terapia Chirurgica II, Università degli Studi di Parma.
Acta Bio-Medica De L'Ateneo Parmense : Organo Della Societa Di Medicina E Scienze Naturali Di Parma
|January 1, 1988
Summary
Computerized clinical decision support systems utilize mathematical or logical methods, with optimal choice depending on the specific problem. Future systems will integrate both approaches for enhanced medical decision-making.
Area of Science:
- * Medical Informatics
- * Artificial Intelligence in Medicine
Background:
- * Numerous computerized systems guide clinical decisions.
- * Development methods are broadly categorized as mathematical or logical.
Purpose of the Study:
- * To compare the suitability of mathematical and logical methods in clinical decision support systems.
- * To forecast future trends in the development of these systems.
Main Methods:
- * Review of existing mathematical and logical approaches for clinical decision support.
- * Analysis of problem characteristics influencing method selection.
- * Projection of future system development integrating diverse methodologies.
Main Results:
- * Mathematical methods are effective for biological systems with defined characteristics.
- * Logical methods excel in complex clinical scenarios with uncertainty and alternatives.
- * Hybrid systems combining both approaches are anticipated.
Conclusions:
- * The efficacy of decision support systems is problem-dependent.
- * Future clinical decision support will likely integrate mathematical, logical, and artificial intelligence techniques.
- * Increased computer use will prompt reevaluation of medical procedures.