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Evaluation of clinical decision support systems in oncology: An updated systematic review.
Nafees, Abdulwadud; Khan, Maha; Chow, Ronald; Fazelzad, Rouhi; Hope, Andrew; Liu, Geoffrey; Letourneau, Daniel; Raman, Srinivas.
Afiliação
  • Nafees A; Radiation Medicine Program, Princess Margaret Hospital Cancer Centre, Toronto, Canada.
  • Khan M; Radiation Medicine Program, Princess Margaret Hospital Cancer Centre, Toronto, Canada.
  • Chow R; Radiation Medicine Program, Princess Margaret Hospital Cancer Centre, Toronto, Canada; Institute of Biomedical Engineering, Faculty of Applied Sciences & Engineering, University of Toronto, Toronto, Canada; Library and Information Services, Princess Margaret Cancer Centre, Toronto, Canada.
  • Fazelzad R; Institute of Biomedical Engineering, Faculty of Applied Sciences & Engineering, University of Toronto, Toronto, Canada; Library and Information Services, Princess Margaret Cancer Centre, Toronto, Canada.
  • Hope A; Radiation Medicine Program, Princess Margaret Hospital Cancer Centre, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada.
  • Liu G; Department of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.
  • Letourneau D; Radiation Medicine Program, Princess Margaret Hospital Cancer Centre, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada.
  • Raman S; Radiation Medicine Program, Princess Margaret Hospital Cancer Centre, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada. Electronic address: Srinivas.Raman@rmp.uhn.ca.
Crit Rev Oncol Hematol ; 192: 104143, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37742884
ABSTRACT
With increasing reliance on technology in oncology, the impact of digital clinical decision support (CDS) tools needs to be examined. A systematic review update was conducted and peer-reviewed literature from 2016 to 2022 were included if CDS tools were used for live decision making and comparatively assessed quantitative outcomes. 3369 studies were screened and 19 were included in this updated review. Combined with a previous review of 24 studies, a total of 43 studies were analyzed. Improvements in outcomes were observed in 42 studies, and 34 of these were of statistical significance. Computerized physician order entry and clinical practice guideline systems comprise the greatest number of evaluated CDS tools (13 and 10 respectively), followed by those that utilize patient-reported outcomes (8), clinical pathway systems (8) and prescriber alerts for best-practice advisories (4). Our review indicates that CDS can improve guideline adherence, patient-centered care, and care delivery processes in oncology.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Sistemas de Registro de Ordens Médicas Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Sistemas de Registro de Ordens Médicas Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article