Artificial intelligence: a computerized decision aid for trauma

J Trauma. 1988 Aug;28(8):1250-4. doi: 10.1097/00005373-198808000-00019.

Abstract

A computerized decision support system has been developed to advise ATLS-trained surgeons on the initial definitive management of patients with penetrating injuries of the abdomen immediately following resuscitation and stabilization. The program was developed as an "expert system," using the techniques of artificial intelligence. It is able to suggest: the need for further examination; additional tests; diagnoses; and treatments. In this study, the advice offered by the expert system was compared to that of physicians-in-training. Five actual patient care situations were presented to the system and to 13 medical students and surgical residents: four MS-III, three PGY-I, three PGY-III, and three PGY-V. The suggestions of each of the 13 trainees, the advice of the expert system, and the actual management were blinded. Five surgeons versed in trauma and otherwise not involved in the project judged whether each of the 15 purported management plans was acceptable and ranked them in order of preference. Only the actual care and the advice from the system were judged acceptable for all five problems. The rankings of the expert system were better than those of any individual trainee. The differences were statistically significant for two of the three chief residents, five of nine residents overall, and all four students. This preliminary validation of a prototype expert system is encouraging for the prospect of a computerized decision support system that can help surgeons make initial definitive management plans for patients with major trauma.

Publication types

  • Case Reports
  • Comparative Study
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Abdominal Injuries / diagnosis
  • Abdominal Injuries / therapy*
  • Adult
  • Clinical Competence
  • Decision Support Techniques*
  • Expert Systems*
  • General Surgery
  • Humans
  • Internship and Residency
  • Male
  • Wounds, Penetrating / diagnosis
  • Wounds, Penetrating / therapy*