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1
A randomized trial of real-time automated clinical deterioration alerts sent to a rapid response team.
J Hosp Med. 2014 Jul;9(7):424-9. doi: 10.1002/jhm.2193. Epub 2014 Apr 7.
2
A trial of a real-time alert for clinical deterioration in patients hospitalized on general medical wards.
J Hosp Med. 2013 May;8(5):236-42. doi: 10.1002/jhm.2009. Epub 2013 Feb 25.
3
Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial.
Crit Care Med. 2024 Jul 1;52(7):1007-1020. doi: 10.1097/CCM.0000000000006243. Epub 2024 Feb 21.
4
Prevalence, Risk Factors, and Clinical Consequences of Recurrent Activation of a Rapid Response Team: A Multicenter Observational Study.
J Intensive Care Med. 2019 Oct;34(10):782-789. doi: 10.1177/0885066618773735. Epub 2018 May 2.
5
Reducing hospital standardized mortality rate with early interventions.
J Trauma Nurs. 2006 Oct-Dec;13(4):178-82. doi: 10.1097/00043860-200610000-00010.
7
Sustained effectiveness of a primary-team-based rapid response system.
Crit Care Med. 2012 Sep;40(9):2562-8. doi: 10.1097/CCM.0b013e318259007b.
8
Rapid response team composition effects on outcomes for adult hospitalised patients: A systematic review.
JBI Libr Syst Rev. 2011;9(31):1297-1340. doi: 10.11124/01938924-201109310-00001.

引用本文的文献

1
Artificial intelligence in clinical decision support and the prediction of adverse events.
Front Digit Health. 2025 May 30;7:1403047. doi: 10.3389/fdgth.2025.1403047. eCollection 2025.
2
Clinical evaluation of a machine learning-based early warning system for patient deterioration.
CMAJ. 2024 Sep 15;196(30):E1027-E1037. doi: 10.1503/cmaj.240132.
3
AI-enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial.
Nat Med. 2024 May;30(5):1461-1470. doi: 10.1038/s41591-024-02961-4. Epub 2024 Apr 29.
6
Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review.
J Am Med Inform Assoc. 2023 Dec 22;31(1):256-273. doi: 10.1093/jamia/ocad203.
7
Research frontiers and trends in the application of artificial intelligence to sepsis: A bibliometric analysis.
Front Med (Lausanne). 2023 Jan 12;9:1043589. doi: 10.3389/fmed.2022.1043589. eCollection 2022.
8
Implementation approaches and barriers for rule-based and machine learning-based sepsis risk prediction tools: a qualitative study.
JAMIA Open. 2022 Apr 18;5(2):ooac022. doi: 10.1093/jamiaopen/ooac022. eCollection 2022 Jul.

本文引用的文献

1
Do either early warning systems or emergency response teams improve hospital patient survival? A systematic review.
Resuscitation. 2013 Dec;84(12):1652-67. doi: 10.1016/j.resuscitation.2013.08.006. Epub 2013 Aug 17.
2
Imperfect implementation of an early warning scoring system in a Danish teaching hospital: a cross-sectional study.
PLoS One. 2013 Jul 26;8(7):e70068. doi: 10.1371/journal.pone.0070068. Print 2013.
5
A trial of a real-time alert for clinical deterioration in patients hospitalized on general medical wards.
J Hosp Med. 2013 May;8(5):236-42. doi: 10.1002/jhm.2009. Epub 2013 Feb 25.
6
A controlled trial of electronic automated advisory vital signs monitoring in general hospital wards.
Crit Care Med. 2012 Aug;40(8):2349-61. doi: 10.1097/CCM.0b013e318255d9a0.
9
Toward a two-tier clinical warning system for hospitalized patients.
AMIA Annu Symp Proc. 2011;2011:511-9. Epub 2011 Oct 22.
10
Adverse outcomes associated with delayed intensive care unit transfers in an integrated healthcare system.
J Hosp Med. 2012 Mar;7(3):224-30. doi: 10.1002/jhm.964. Epub 2011 Oct 28.

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