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Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain.
van der Vegt, Anton H; Campbell, Victoria; Mitchell, Imogen; Malycha, James; Simpson, Joanna; Flenady, Tracy; Flabouris, Arthas; Lane, Paul J; Mehta, Naitik; Kalke, Vikrant R; Decoyna, Jovie A; Es'haghi, Nicholas; Liu, Chun-Huei; Scott, Ian A.
Afiliação
  • van der Vegt AH; Centre for Health Services Research, The University of Queensland, Brisbane, QLD 4102, Australia.
  • Campbell V; Intensive Care Unit, Sunshine Coast Hospital and Health Service, Birtynia, QLD 4575, Australia.
  • Mitchell I; School of Medicine and Dentistry, Griffith University, Gold Coast, QLD 4222, Australia.
  • Malycha J; Office of Research and Education, Canberra Health Services, Canberra, ACT 2601, Australia.
  • Simpson J; Department of Critical Care Medicine, The Queen Elizabeth Hospital, Woodville, SA 5011, Australia.
  • Flenady T; Eastern Health Intensive Care Services, Eastern Health, Box Hill, VIC 3128, Australia.
  • Flabouris A; School of Nursing, Midwifery & Social Sciences, Central Queensland University, Rockhampton, QLD 4701, Australia.
  • Lane PJ; Intensive Care Department, Royal Adelaide Hospital, Adelaide, SA 5000, Australia.
  • Mehta N; Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia.
  • Kalke VR; Safety Quality & Innovation, The Prince Charles Hospital, Chermside, QLD 4032, Australia.
  • Decoyna JA; Patient Safety and Quality, Clinical Excellence Queensland, Brisbane, QLD 4001, Australia.
  • Es'haghi N; Patient Safety and Quality, Clinical Excellence Queensland, Brisbane, QLD 4001, Australia.
  • Liu CH; School of Medicine and Dentistry, Griffith University, Gold Coast, QLD 4222, Australia.
  • Scott IA; School of Medicine and Dentistry, Griffith University, Gold Coast, QLD 4222, Australia.
J Am Med Inform Assoc ; 31(2): 509-524, 2024 Jan 18.
Article em En | MEDLINE | ID: mdl-37964688
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Deterioração Clínica / Hospitais Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Deterioração Clínica / Hospitais Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália