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Improving diagnostic decision support through deliberate reflection: a proposal.
Schmidt, Henk G; Mamede, Sílvia.
Afiliación
  • Schmidt HG; Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.
  • Mamede S; Institute of Medical Education Research Rotterdam, Erasmus Medical Center, Rotterdam, The Netherlands.
Diagnosis (Berl) ; 10(1): 38-42, 2023 02 01.
Article en En | MEDLINE | ID: mdl-36000188
ABSTRACT
Digital decision support (DDS) is expected to play an important role in improving a physician's diagnostic performance and reducing the burden of diagnostic error. Studies with currently available DDS systems indicate that they lead to modest gains in diagnostic accuracy, and these systems are expected to evolve to become more effective and user-friendly in the future. In this position paper, we propose that a way towards this future is to rethink DDS systems based on deliberate reflection, a strategy by which physicians systematically review the clinical findings observed in a patient in the light of an initial diagnosis. Deliberate reflection has been demonstrated to improve diagnostic accuracy in several contexts. In this paper, we first describe the deliberate reflection strategy, including the crucial element that would make it useful in the interaction with a DDS system. We examine the nature of conventional DDS systems and their shortcomings. Finally, we propose what DDS based on deliberate reflection might look like, and consider why it would overcome downsides of conventional DDS.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Diagnosis (Berl) Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Diagnosis (Berl) Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos
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