Literature DB >> 9794331

Collaborative problem-solving in telemedicine and evidence interpretation in a complex clinical case.

L Farand1, J P Lafrance, J F Arocha.   

Abstract

This study examined clinical problem-solving processes in the context of a telemedical consultation, in order to verify to what extent the technological environment preserves the characteristics of medical reasoning that are known to occur in more traditional clinical settings. This study also provided an opportunity for examining certain fundamental aspects of medical reasoning about complex cases. Within a case-study design, we used a theoretical framework and qualitative methods originating from cognitive science. Expert physicians used reasoning strategies commensurate with the complexity of the case. The technological context of the telemedical consultation did not overly contrive the interaction, allowing them to use real-time problem-solving processes characterizing medical reasoning in naturalistic settings. The results also suggest that high levels of expertise in the presence of very complex cases may elicit a particular configuration of problem-solving processes, associating certain reasoning patterns that are usually related to non-expert problem-solving with others that are typical of expertise. We believe that the evaluation of image transmission and diagnostic performance in telemedicine, as well as the determination of its indications and technological configurations, may benefit from taking into account, with the help of cognitive methodologies, the interacting problem-solving modalities that may be encountered in this context.

Mesh:

Year:  1998        PMID: 9794331     DOI: 10.1016/s1386-5056(98)00112-9

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  1 in total

1.  Learning to diagnose collaboratively: validating a simulation for medical students.

Authors:  Anika Radkowitsch; Martin R Fischer; Ralf Schmidmaier; Frank Fischer
Journal:  GMS J Med Educ       Date:  2020-09-15
  1 in total

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