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Real-time machine learning-assisted sepsis alert enhances the timeliness of antibiotic administration and diagnostic accuracy in emergency department patients with sepsis: a cluster-randomized trial

Crossref DOI link: https://doi.org/10.1007/s11739-024-03535-5

Published Online: 2024-02-21

Published Print: 2024-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kijpaisalratana, Norawit

Saoraya, Jutamas

Nhuboonkaew, Padcha

Vongkulbhisan, Komsanti

Musikatavorn, Khrongwong https://orcid.org/0000-0002-5746-0724
Clinical Trials ^BETA

Clinical trials referenced in this document:

tctr20230120001 at Thai Clinical Trials Registry

Documents that mention this clinical trial

Real-time machine learning-assisted sepsis alert enhances the timeliness of antibiotic administration and diagnostic accuracy in emergency department patients with sepsis: a cluster-randomized trial
https://doi.org/10.1007/s11739-024-03535-5
Funding

Funding for this research was provided by:

Faculty of Medicine, Chulalongkorn University
License Information

Text and Data Mining valid from 2024-02-21

Version of Record valid from 2024-02-21
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Article History

Received: 14 April 2023

Accepted: 11 January 2024

First Online: 21 February 2024

Declarations

:

: The authors had no competing interest to declare.

: The institutional review board of Faculty of Medicine, Chulalongkorn University approved the study protocol with a waiver of informed consent.

: This research adheres to ethical standards. Informed consent was waived and confidentiality was maintained. No human data breaches occurred, and all data are anonymized for privacy protection.

: Not applicable.

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