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Exploring a Mechanism Toward Automated Feedback for Cancer Patient Self-Reporting.
Phong, Kevin; Ding, Mengchen; Cho, Youmin; Jiang, Yun; Gong, Yang.
Afiliação
  • Phong K; The University of Texas Health Science Center at Houston, USA.
  • Ding M; The University of Texas Health Science Center at Houston, USA.
  • Cho Y; The University of Texas Health Science Center at Houston, USA.
  • Jiang Y; University of Michigan, USA.
  • Gong Y; The University of Texas Health Science Center at Houston, USA.
Stud Health Technol Inform ; 310: 539-543, 2024 Jan 25.
Article em En | MEDLINE | ID: mdl-38269867
ABSTRACT
"Infobuttons" spearheaded electronic health records (EHR) based decision support by offering automated knowledge resources to physicians. However, how such a mechanism could be leveraged to provide optimal resources to patients remains unanswered. Informatics approaches are expected to utilize more relevant information beyond EHR, such as patient-reported outcomes, to support clinical decisions. This pilot study is intended to explore how patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE) in EHR can be incorporated and how to recommend tailored content to cancer patients via automated feedback.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Neoplasias Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Neoplasias Idioma: En Ano de publicação: 2024 Tipo de documento: Article