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Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method.
Fang, Yilu; Kim, Jae Hyun; Idnay, Betina Ross; Aragon Garcia, Rebeca; Castillo, Carmen E; Sun, Yingcheng; Liu, Hao; Liu, Cong; Yuan, Chi; Weng, Chunhua.
Afiliação
  • Fang Y; Department of Biomedical Informatics.
  • Kim JH; Department of Biomedical Informatics.
  • Idnay BR; School of Nursing.
  • Aragon Garcia R; Department of Neurology, Columbia University, New York, NY, USA.
  • Castillo CE; Department of Neurology, Columbia University, New York, NY, USA.
  • Sun Y; Department of Neurology, Columbia University, New York, NY, USA.
  • Liu H; Department of Biomedical Informatics.
  • Liu C; Department of Biomedical Informatics.
  • Yuan C; Department of Biomedical Informatics.
  • Weng C; Department of Biomedical Informatics.
Stud Health Technol Inform ; 281: 984-988, 2021 May 27.
Article em En | MEDLINE | ID: mdl-34042820
ABSTRACT
Clinical trial eligibility criteria are important for selecting the right participants for clinical trials. However, they are often complex and not computable. This paper presents the participatory design of a human-computer collaboration method for criteria simplification that includes natural language processing followed by user-centered eligibility criteria simplification. A case study on the ARCADIA trial shows how criteria were simplified for structured database querying by clinical researchers and identifies rules for criteria simplification and concept normalization.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pesquisadores / Processamento de Linguagem Natural Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pesquisadores / Processamento de Linguagem Natural Idioma: En Ano de publicação: 2021 Tipo de documento: Article