ASC: Educational Anesthesia Simulator with Expert System
ASC, the Anesthesia Simulator Consultant, is an educational computer program for anesthesia and intensive care medicine. The program combines a real-time graphical simulator with a rule-based expert system. The expert system outlines the anesthetic considerations for simulated patients and provides a suggested anesthetic management plan. The system evaluates the status of the simulated patient intraoperatively, providing detailed analysis of the electrocardiogram, vital signs, airway, arterial blood gas, fluid requirements and critical incidents. During abnormal physiological states, the expert system lists a differential diagnosis and then highlights the most likely cause(s) for the disturbance. The expert system was designed to assist anesthesiologists in understanding and analyzing their clinical decision-making processes by providing immediate instructional feedback on simulated case management. The combination of the expert system and the simulator provides a self- contained educational environment which allows anesthesiologists to practice the management of difficult cases and receive tutorials on their management.
KeywordsExpert System Systemic Vascular Resistance Production Rule Finite State Machine Critical Incident
Unable to display preview. Download preview PDF.
- 2.Dumas J. Designing User Interfaces for Software, pp 113–114, Prentice-Hall, Englewood Cliffs, New Jersey, 1988.Google Scholar
- 3.Barr A. and Feigenbaum E. (Eds.) The Handbook of Artificial Intelligence, pp 190–199, William Kaufmann, Inc., Los Altos, California, 1981.Google Scholar
- 5.Textbook of Advanced Cardiac Life Support, Second Edition. American Heart Association, 1987.Google Scholar
- 6.Nunn J.F. Applied Respiratory Physiology, Second Edition, pp 388–397, Butterworths, Boston, 1977.Google Scholar
- 9.Stammers R.B. Instructional psychology and the design of training simulators. In“Simulation for Nuclear Reactor Technology”, (D.G. Walton (Ed.), pp 161–176, Cambridge University Press, Cambridge, 1985.Google Scholar
- 10.Russ T.A. A knowledge-based approach to ventricular arrhythmia management. In “Proceedings of the International Conference on Cybernetics and Society”, pp 10–14, 1982.Google Scholar
- 11.Ozaki M., Ozaki K., and Fujita M. Computerized reference system for clinical anesthesia. J Clin Monit 4, 154 (1988).Google Scholar
- 14.Long W.J, Russ T.A., and Locke W.B. Reasoning from multiple information sources in arrhythmia management. In “Proceedings of the IEEE-83 Frontiers of Engineering and Computing in Health Care”, pp 640–643, New York, IEEE, 1983.Google Scholar
- Rampil I.J. Intelligent detection of artifact. In “The Automated Anesthesia Record and Alarm Systems”, (Gravenstein JS, Newbower RS, Ream AK, Smith NT, Eds.), pp 175–190, Boston, Butterworths, 1987.Google Scholar