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Artificial Intelligence and Clinical Decision Support Systems or Automated Interpreters: What Characteristics Are
Smaïn Tabla1, Matthieu Calafiore1,2, Bertrand Legrand1,3
1Univ. Lille, CHU Lille, ULR 2694 - METRICS, CERIM, Public health dept, F-59000 Lille, France.
Abstract:
Development of artificial intelligence (AI) modules should rely on technical progress, but also on users' needs. Our objective is to identify criteria that make a hypothetical AI module desirable for general practitioners (GPs). Method: random selection of 200 French GPs, and paper-based questionnaire. Results: the population was representative. GPs expect AI modules to diagnose or eliminate an urgent pathology for which they are not competent and for which specialists are not available. They also demand interoperability, automated electronic health record integration and facilitated information sharing. GPs would like AI modules to make them save time, simplify some procedures and delegate tasks to the secretary. They expect AI modules to allow them to associate the patient with the care, to reassure him or her, and to personalize the care. Interestingly, GPs would also rely on a machine to cut off abusive requests, such as work stoppages or certificates of convenience.
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