Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain.
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| Title: | Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain. |
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| Authors: | 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.; School of Medicine and Dentistry, Griffith University, Gold Coast, QLD 4222, Australia., Mitchell I; Office of Research and Education, Canberra Health Services, Canberra, ACT 2601, Australia., Malycha J; Department of Critical Care Medicine, The Queen Elizabeth Hospital, Woodville, SA 5011, Australia., Simpson J; Eastern Health Intensive Care Services, Eastern Health, Box Hill, VIC 3128, Australia., Flenady T; School of Nursing, Midwifery & Social Sciences, Central Queensland University, Rockhampton, QLD 4701, Australia., Flabouris A; Intensive Care Department, Royal Adelaide Hospital, Adelaide, SA 5000, Australia.; Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia., Lane PJ; Safety Quality & Innovation, The Prince Charles Hospital, Chermside, QLD 4032, Australia., Mehta N; Patient Safety and Quality, Clinical Excellence Queensland, Brisbane, QLD 4001, Australia., Kalke VR; Patient Safety and Quality, Clinical Excellence Queensland, Brisbane, QLD 4001, Australia., Decoyna JA; School of Medicine and Dentistry, Griffith University, Gold Coast, QLD 4222, Australia., Es'haghi N; School of Medicine and Dentistry, Griffith University, Gold Coast, QLD 4222, Australia., Liu CH; School of Medicine and Dentistry, Griffith University, Gold Coast, QLD 4222, Australia., Scott IA; Centre for Health Services Research, The University of Queensland, Brisbane, QLD 4102, Australia.; Department of Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital, Brisbane, QLD 4102, Australia. |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2024 Jan 18; Vol. 31 (2), pp. 509-524. |
| Publication Type: | Systematic Review; Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1527-974X |
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| DOI: | 10.1093/jamia/ocad220 |
