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Caregivers Interactions with Clinical Autocomplete Tool: A Retrospective Study.
Zaghir, Jamil; Goldman, Jean-Philippe; Bjelogrlic, Mina; Gaudet-Blavignac, Christophe; Lovis, Christian.
Afiliación
  • Zaghir J; Division of Medical Information Sciences, University Hospitals of Geneva, Geneva, Switzerland.
  • Goldman JP; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.
  • Bjelogrlic M; Division of Medical Information Sciences, University Hospitals of Geneva, Geneva, Switzerland.
  • Gaudet-Blavignac C; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.
  • Lovis C; Division of Medical Information Sciences, University Hospitals of Geneva, Geneva, Switzerland.
Stud Health Technol Inform ; 295: 132-135, 2022 Jun 29.
Article en En | MEDLINE | ID: mdl-35773825
Hospital caregivers report patient data while being under constant pressure. These records include structured information, with some of them being derived from a restricted list of terms. Finding the right term from a large terminology can be time-consuming, harming the clinician's productivity. To deal with this hurdle, an autocomplete system is employed, providing the closest terms after a prefix is typed. While this software application clearly smoothens the term searching, this paper studies the influences of the tool on caregivers' reporting, inspecting the evolution of their typing conduct over time.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Cuidadores Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Cuidadores Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Países Bajos