Components of an effective medical simulation software solution

Simulation and Gaming

Volumn 32, Issue 2, 2001, Pages 240-249

  Schwid, Howard A ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

ACLS; Advanced cardiac life support; Cardiopulmonary resuscitation; Computer assisted instruction; Continuing; Debriefing; Education; Expert system; Medical; Medical simulation; Nursing

Indexed keywords

EID: 44449083294     PISSN: 10468781     EISSN: 1552826X     Source Type: Journal    
DOI: 10.1177/104687810103200211     Document Type: Article

References (8)

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2. Cummins, R. O. (Ed.). (1997). Advanced cardiac life support. Dallas, TX: American Heart Association.
3. Curry, L., & Gass, D. (1987). Effects of training in cardiopulmonary resuscitation on competence and patient outcome. Canadian Medical Association Journal, 137(6), 491-496.
4. Hopcroft, J. E., & Ullman, J. D. (1979). Introduction to automata theory, languages and computation. Reading, MA: Addison-Wesley.
5. Hull, J. C. (1979). Pharmacokinetics and pharmacodynamics. British Journal of Anaesthesia, 51(1), 579-594.
6. Riley, R. L., & Cournand, A. (1949). "Ideal" alveolar air and the analysis of ventilation-perfusion relationships in the lungs. Journal of Applied Physiology, 1(12), 825-847.
7. Schwid, H. A., & O'Donnell, D. (1992). Anesthesiologists' management of simulated critical incidents. Anesthesiology, 76(4), 495-501.
8. Schwid, H. A., Rooke, G. A., Ross, B.K., & Sivarajan, M. (1999). Use of a computerized advanced cardiac life support simulator improves retention of advanced cardiac life support guidelines better than a textbook review. Critical Care Medicine, 27(4), 821-824.