Learning to diagnose collaboratively: validating a simulation for medical students

Abstract: Objectives: Physicians with different professional backgrounds often diagnose a patients' problem collaboratively. In this article, we first introduce a process model for collaborative diagnosing (CDR model), describe the development of a simulation used to empirically examine the facilitation of collaborative diagnostic reasoning. Based on a contemporary validity framework , we further suggest indicators for validity and collect initial evidence with respect to the scoring, generalization, extrapolation, and implication inferences to assess the validity of the simulation when used to assess effects of learning interventions. Method: In a quasi-experimental study, we assessed objectivity and reliability of the simulation and compared medical students with low and advanced prior knowledge to practitioners with high prior knowledge with respect to their diagnostic accuracy, diagnostic efficiency, information sharing skills, and their intrinsic cognitive load. Additionally, we obt...

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Learning to diagnose collaboratively: validating a simulation for medical students ; volume:37 ; number:5 ; day:15 ; month:09 ; year:2020
GMS journal for medical education ; 37, Heft 5 (15.09.2020)

Classification
Medizin, Gesundheit

Creator
Radkowitsch, Anika
Fischer, Martin R.
Schmidmaier, Ralf
Fischer, Frank

DOI
10.3205/zma001344
URN
urn:nbn:de:0183-zma0013448
Rights
Open Access; Open Access; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:48 AM CEST

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Associated

  • Radkowitsch, Anika
  • Fischer, Martin R.
  • Schmidmaier, Ralf
  • Fischer, Frank

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