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A Real-Time Dashboard Approach to Decision Support: An Exercise in Co-Design.
Li, Julie; Scowen, Craig; Loten, Conrad; Eigenstetter, Alex; Thomas, Judith; Prgomet, Mirela; Baysari, Melissa; Georgiou, Andrew.
Afiliação
  • Li J; Centre for Health Systems and Safety Research, Macquarie University, Australia.
  • Scowen C; New South Wales Health Pathology, Australia.
  • Loten C; Emergency Department, John Hunter Hospital, Australia.
  • Eigenstetter A; New South Wales Health Pathology, Australia.
  • Thomas J; Centre for Health Systems and Safety Research, Macquarie University, Australia.
  • Prgomet M; Centre for Health Systems and Safety Research, Macquarie University, Australia.
  • Baysari M; Biomedical Informatics and Digital Health, The University of Sydney, Australia.
  • Georgiou A; Centre for Health Systems and Safety Research, Macquarie University, Australia.
Stud Health Technol Inform ; 316: 137-141, 2024 Aug 22.
Article em En | MEDLINE | ID: mdl-39176692
ABSTRACT
Laboratory tests play an integral role in the delivery of quality health care. However, evidence indicates variations in diagnostic testing, which can lead to patient safety risks. Electronic decision support systems are often identified as key to reducing diagnostic error. However, such tools are often introduced into a clinical setting with little understanding of clinician workflow and how tools are likely to impact this. This study reports a qualitative co-design methodology and results from the first phase in the design and development of an analytics-driven, dashboard approach to supporting clinician test ordering in the Emergency Department.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Serviço Hospitalar de Emergência Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Serviço Hospitalar de Emergência Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália País de publicação: Holanda