How AI could help physicians during their medical consultations: An analysis of physicians' decision process to develop efficient decision support systems for medical consultations - Archive ouverte HAL
Conference Papers Year : 2018

How AI could help physicians during their medical consultations: An analysis of physicians' decision process to develop efficient decision support systems for medical consultations

Abstract

Physicians of the Hospitals of Lyon (HCL) use a Health Information System (HIS) during their medical consultations that gives them access to several functionalities. With the aim to develop Clinical Decision Support Systems (CDSSs) as new functionalities of the HIS, we analyse what kind of tools could be the most useful to help physicians during their day-today medical consultations. This paper presents the methods we used to collect data to analyse physicians' decision process during medical consultations. We also present two models of these decision processes and a discussion about the nature of tools that physicians really need during a medical consultation.
Fichier principal
Vignette du fichier
IAS2018_Richard_How_AI_could_help_physicians_during_their_medical_consultations.pdf (198.4 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-02011716 , version 1 (08-02-2019)

Identifiers

  • HAL Id : hal-02011716 , version 1

Cite

Antoine Richard, Brice Mayag, Yves Meinard, François Talbot, Alexis Tsoukiàs. How AI could help physicians during their medical consultations: An analysis of physicians' decision process to develop efficient decision support systems for medical consultations. PFIA 2018, Jul 2018, Nancy, France. ⟨hal-02011716⟩
176 View
144 Download

Share

More