Literature DB >> 8204334

Evaluation of a rule base for decision making in general practice.

B Essex1, M Healy.   

Abstract

BACKGROUND: Decision making in general practice relies heavily on judgmental expertise. It should be possible to codify this expertise into rules and principles. AIM: A study was undertaken to evaluate the effectiveness, of rules from a rule base designed to improve students' and trainees' management decisions relating to patients seen in general practice.
METHOD: The rule base was developed after studying decisions about and management of thousands of patients seen in one general practice over an eight year period. Vignettes were presented to 93 fourth year medical students and 179 general practitioner trainees. They recorded their perception and management of each case before and after being presented with a selection of relevant rules. Participants also commented on their level of agreement with each of the rules provided with the vignettes. A panel of five independent assessors then rated as good, acceptable or poor, the participants' perception and management of each case before and after seeing the rules.
RESULTS: Exposure to a few selected rules of thumb improved the problem perception and management decisions of both undergraduates and trainees. The degree of improvement was not related to previous experience or to the stated level of agreement with the proposed rules. The assessors identified difficulties students and trainees experienced in changing their perceptions and management decisions when the rules suggested options they had not considered.
CONCLUSION: The rules developed to improve decision making skills in general practice are effective when used with vignettes. The next phase is to transform the rule base into an expert system to train students and doctors to acquire decision making skills. It could also be used to provide decision support when confronted with difficult management decisions in general practice.

Entities:  

Mesh:

Year:  1994        PMID: 8204334      PMCID: PMC1238868     

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  13 in total

1.  Evaluating black-boxes as medical decision aids: issues arising from a study of neural networks.

Authors:  A Hart; J Wyatt
Journal:  Med Inform (Lond)       Date:  1990 Jul-Sep

Review 2.  Medical expert systems: design and applications in pulmonary medicine.

Authors:  R Klar; A Zaiss
Journal:  Lung       Date:  1990       Impact factor: 2.584

3.  Attempts to use computers as diagnostic aids in medical decision making: a thirty-year experience.

Authors:  R L Engle
Journal:  Perspect Biol Med       Date:  1992       Impact factor: 1.416

4.  The use of machine learning program LERS-LB 2.5 in knowledge acquisition for expert system development in nursing.

Authors:  L Woolery; J Grzymala-Busse; S Summers; A Budihardjo
Journal:  Comput Nurs       Date:  1991 Nov-Dec

5.  Towards validation of expert systems as medical decision aids.

Authors:  M Fieschi
Journal:  Int J Biomed Comput       Date:  1990-07

6.  Temporal representation of clinical algorithms using expert-system and database tools.

Authors:  D W Rucker; D J Maron; E H Shortliffe
Journal:  Comput Biomed Res       Date:  1990-06

Review 7.  Expert systems in psychiatry. A review.

Authors:  R A Morelli; J D Bronzino; J W Goethe
Journal:  J Med Syst       Date:  1987-06       Impact factor: 4.460

8.  Evaluating medical expert systems.

Authors:  H P Lundsgaarde
Journal:  Soc Sci Med       Date:  1987       Impact factor: 4.634

9.  Computer-assisted diagnosis of abdominal pain using "estimates" provided by clinicians.

Authors:  D J Leaper; J C Horrocks; J R Staniland; F T De Dombal
Journal:  Br Med J       Date:  1972-11-11

10.  Medical expert systems based on causal probabilistic networks.

Authors:  S Andreassen; F V Jensen; K G Olesen
Journal:  Int J Biomed Comput       Date:  1991 May-Jun
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