A Clinical Simulation Environment For Medical Education
Traditionally, the teaching of clinical medicine for undergraduate students has taken the format of instruction at the bedside between patient, teacher and student supplemented by lectures, seminars and periods of free study. Responsibility to the patient permits students to take only a passive role in patient management and treatment, observing the decisions made by qualified clinicians. Students experience only the diseases with which patients present to the ward during the period of their attachment to the specialty. The introduction of computers into the clinical learning environment can provide an additional stimulant to medical learning. Two types of computerassisted educational programs for medicine have evolved: controlled learning and discovery learning programs. The principal difference between the types is in their underlying teaching strategies that effectively determine the degree to which the student can control the focus of the tutorial.
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- Clancey WJ (1983) GUIDON (CAI). J Comp Based Instr (USA) 10: 8–15Google Scholar
- Edwards PR, Coughlan R, Taylor MJ, Corbett WA (1986) Surgical emergencies—microcomputer-based simulations. Proceedings, medical microcomputer applications workshop. Springer, London Berlin Heidelberg New YorkGoogle Scholar
- Edwards PR (1987) Microcomputer simulations. Medical applications of microcomputers. In: Medical applications of microcomputers. John Wiley, Chichester, pp 69, 85Google Scholar
- Fenn JA, Foote MH (1987) Implementing co-operative expert systems. In: Proceedings, the first international symposium on artificial intelligence and expert systems, BECEEP, BerlinGoogle Scholar
- Johnson CE, Taylor MJ, Corbett WA (1987) Current work on the development of an IC AI system for acute abdominal pain. In: 7th International Congress, Medical Informatics Europe’ 87, Rome, Italy, pp 739, 746Google Scholar
- Taylor MJ, Corbett WA, Edwards PR, Coughlan JR (1986) System design features for clinical simulations. In: Trends in computer assisted education. Blackwells, Oxford, pp 63, 69Google Scholar