Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A decision analytic method for scoring performance on computer-based patient simulations

S M Downs1, C P Friedman, F Marasigan

  • 1University of North Carolina at Chapel Hill, USA.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1997
PubMed
Summary

A new decision analytic approach scores performance in computerized patient case simulations. This method evaluates data requests, distinguishing serious from minor misdiagnoses for better clinical training.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Food Environment Perceptions Survey: development and piloting of a survey instrument in India and Cambodia to assess consumers' interactions with diverse food environments.

Public health nutrition·2026
Same author

Toward an Information Infrastructure for Global Health Improvement.

Yearbook of medical informatics·2017
Same author

Discussion of "Combining Health Data Uses to Ignite Health System Learning".

Methods of information in medicine·2015
Same author

Computer Decision Support Changes Physician Practice But Not Knowledge Regarding Autism Spectrum Disorders.

Applied clinical informatics·2015
Same author

Leveraging electronic tablets for general pediatric care: a pilot study.

Applied clinical informatics·2015
Same author

Actionable recommendations in the Bright Futures child health supervision guidelines.

Applied clinical informatics·2014

Area of Science:

  • Medical Education Technology
  • Clinical Decision Making
  • Infectious Disease Simulation

Background:

  • Computer-based clinical case simulations are increasingly used for clinician training and evaluation.
  • Effective methods are needed to assess trainee performance in solving these simulated cases.
  • Existing evaluation approaches may not adequately capture the nuances of diagnostic reasoning.

Purpose of the Study:

  • To develop and present a decision analytic approach for scoring performance on computerized patient case simulations.
  • To create decision models for infectious disease simulations using influence diagrams.
  • To establish a normative measure for evaluating the quality of clinical data requests during simulations.

Main Methods:

  • Developed decision models represented as influence diagrams for four infectious disease domains.

Related Experiment Videos

  • Incorporated nodes for diagnoses, competing disease probabilities, and utilities.
  • Calculated the expected value of information (VOI) for each data request to assess its quality relative to perfect information.

    • Main Results:

    • The approach provides a continuous, sensitive measure of data request quality based on collected information.
    • The scoring method effectively distinguishes between serious and minor misdiagnoses.
    • A single influence diagram can evaluate performance across multiple simulations within the same clinical domain.

    Conclusions:

    • The decision analytic approach offers a robust and objective method for evaluating performance in clinical case simulations.
    • This scoring system enhances the utility of simulations for training and assessment by providing detailed feedback on diagnostic strategies.
    • The methodology is adaptable and applicable to various clinical domains requiring diagnostic reasoning.