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The influence of explainable vs non-explainable clinical decision support systems on rapid triage decisions: a mixed methods study.
Laxar, Daniel; Eitenberger, Magdalena; Maleczek, Mathias; Kaider, Alexandra; Hammerle, Fabian Peter; Kimberger, Oliver.
Affiliation
  • Laxar D; Department of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.
  • Eitenberger M; Ludwig Boltzmann Institute Digital Health and Patient Safety, Ludwig Boltzmann Gesellschaft, Vienna, Austria.
  • Maleczek M; Ludwig Boltzmann Institute Digital Health and Patient Safety, Ludwig Boltzmann Gesellschaft, Vienna, Austria.
  • Kaider A; Department of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria. mathias.maleczek@meduniwien.ac.at.
  • Hammerle FP; Ludwig Boltzmann Institute Digital Health and Patient Safety, Ludwig Boltzmann Gesellschaft, Vienna, Austria. mathias.maleczek@meduniwien.ac.at.
  • Kimberger O; Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
BMC Med ; 21(1): 359, 2023 09 19.
Article in En | MEDLINE | ID: mdl-37726729
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Decision Support Systems, Clinical / COVID-19 Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: BMC Med Journal subject: MEDICINA Year: 2023 Type: Article Affiliation country: Austria
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Decision Support Systems, Clinical / COVID-19 Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: BMC Med Journal subject: MEDICINA Year: 2023 Type: Article Affiliation country: Austria