Advertisement

Dynamic Simulation of Medical Diagnosis: Learning in the Medical Decision Making and Learning Environment MEDIC

  • Cleotilde Gonzalez
  • Colleen Vrbin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4799)

Abstract

MEDIC is a dynamic decision making simulation incorporating time constraints, multiple and delayed feedback and repeated decisions. This tool was developed to study cognition and dynamic decision making in medical diagnosis. MEDIC allows one to study several crucial facets of complex medical decision making while also being well controlled for experimental purposes. Using MEDIC, there is a correct diagnosis for the patient, which provides both outcome and process measures of good performance. MEDIC also allows us to calculate cue diagnosticity and probability functions over the set of hypotheses that participants are explicitly considering, based on assumptions of local (bounded) rationality. MEDIC has served in a series of studies aimed at understanding learning in dynamic and real-time medical diagnotic situations. In this paper, we outline the tool and highlight results from these preliminary studies which set out to measure learning.

Keywords

Decision Making Simulation Medical Diagnosis 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Edwards, W.: Dynamic Decision Theory and Probabilistic Information Processing. Human Factors 4, 59–73 (1962)Google Scholar
  2. 2.
    Brehmer, B.: Strategies in Real-Time, Dynamic Decision Making. In: Hogarth, R.M. (ed.) Insights in Decision Making, pp. 262–279. University of Chicago Press, Chicago (1990)Google Scholar
  3. 3.
    Sterman, J.D.: Misperceptions of Feedback in Dynamic Decision Making. Organizational Behavior and Human Decision Processes 43(3), 301–335 (1989)CrossRefGoogle Scholar
  4. 4.
    Sterman, J.D.: Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill, Boston (2000)Google Scholar
  5. 5.
    Diehl, E., Sterman, J.D.: Effects of Feedback Complexity on Dynamic Decision Making. Organizational Behavior and Human Decision Processes 62(2), 198–215 (1995)CrossRefGoogle Scholar
  6. 6.
    Sterman, J.D.: Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment. Management Science 35(3), 321–339 (1989)CrossRefGoogle Scholar
  7. 7.
    Sterman, J.D.: Learning in and about Complex Systems. Systems Dynamics Review 10, 291–330 (1994)CrossRefGoogle Scholar
  8. 8.
    Simon, H.A., Langley, P.: The Central Role of Learning in Cognition. In: Simon, H.A. (ed.) Models of Thought, vol. II, pp. 102–184. Yale University Press, New Haven London (1981)Google Scholar
  9. 9.
    Gonzalez, C.: Learning to Maker Decisions in Dynamic Environments: Effects of Time Constraints and Cognitive Abilities. Human Factors 46(3), 449–460 (2004)CrossRefGoogle Scholar
  10. 10.
    Kerstholt, J.H., Raaijmakers, J.G.W.: Decision Making in Dynamic Task Environments. In: Ranyard, R., Crozier, W.R., Svenson, O. (eds.) Decision Making: Cognitive Models and Explanations, Routledge, London, pp. 205–217 (1997)Google Scholar
  11. 11.
    Scerbo, M.W.: Medical Virtual Reality Simulators: Have We Missed an Opportunity? Human Factors & Ergonomics Society Bulletin 48(5), 1–3 (2005)Google Scholar
  12. 12.
    Gonzalez, C., Vanyukov, P., Martin, M.K.: The Use of Microworlds to Study Dynamic Decision Making. Computers in Human Behavior 21(2), 273–286 (2005)CrossRefGoogle Scholar
  13. 13.
    Kleinmuntz, D.N.: Cognitive Heuristics and Feedback in a Dynamic Decision Environment. Management Science 31(6), 680–702 (1985)Google Scholar
  14. 14.
    Wason, P.C.: Reasoning. In: Foss, B.M. (ed.) New Horizons in Psychology, Penguin, Baltimore, pp. 135–151 (1966)Google Scholar
  15. 15.
    Wason, P.C.: Reasoning about a Rule. Quarterly Journal of Experimental Psychology 20, 273–281 (1968)CrossRefGoogle Scholar
  16. 16.
    Doherty, M.E., Mynatt, C.R., Tweney, R.D., Schiavo, M.D.: Pseudodiagnosticity. Acta. Psychologica. 43, 111–121 (1979)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Cleotilde Gonzalez
    • 1
  • Colleen Vrbin
    • 2
  1. 1.Dynamic Decision Making Laboratory, Carnegie Mellon University, Pittsburgh, PennsylvaniaUnited States
  2. 2.Center for Pathology Quality and Healthcare Research, University of Pittsburgh Medical Center, Pittsburgh, PennsylvaniaUnited States

Personalised recommendations