A Call for a Consensus Approach to the Design, Implementation, and Evaluation of Early Warning Systems

Sivasubramanium V Bhavani^{1

2}

Affiliations

Editorial

Sivasubramanium V Bhavani. Crit Care Med. 2022.

. 2022 Aug 1;50(8):1280-1282.

doi: 10.1097/CCM.0000000000005568. Epub 2022 Jul 11.

Sivasubramanium V Bhavani^{1

2}

No abstract available

Comment on

The Impact of Health Information Technology for Early Detection of Patient Deterioration on Mortality and Length of Stay in the Hospital Acute Care Setting: Systematic Review and Meta-Analysis.
Herasevich S, Lipatov K, Pinevich Y, Lindroth H, Tekin A, Herasevich V, Pickering BW, Barwise AK. Herasevich S, et al. Crit Care Med. 2022 Aug 1;50(8):1198-1209. doi: 10.1097/CCM.0000000000005554. Epub 2022 Apr 12. Crit Care Med. 2022. PMID: 35412476

1. McGaughey J, Fergusson DA, Van Bogaert P, et al.: Early warning systems and rapid response systems for the prevention of patient deterioration on acute adult hospital wards. Cochrane Database Syst Rev 2021; 11:CD005529. - PMC - PubMed
1. Herasevich S, Lipatov K, Pinevich Y, et al.: The Impact of Health Information Technology for Early Detection of Patient Deterioration on Mortality and Length of Stay in the Hospital Acute Care Setting: Systematic Review and Meta-Analysis. Crit Care Med 2022; 50:1198–1209 - PubMed
1. Giannini HM, Ginestra JC, Chivers C, et al.: A machine learning algorithm to predict severe sepsis and septic shock: Development, implementation, and impact on clinical practice. Crit Care Med 2019; 47:1485–1492 - PMC - PubMed
1. Sawyer AM, Deal EN, Labelle AJ, et al.: Implementation of a real-time computerized sepsis alert in nonintensive care unit patients. Crit Care Med 2011; 39:469–473 - PubMed
1. Hooper MH, Weavind L, Wheeler AP, et al.: Randomized trial of automated, electronic monitoring to facilitate early detection of sepsis in the intensive care unit*. Crit Care Med 2012; 40:2096–2101 - PMC - PubMed