Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/119046
Title: Leveraging electronic medical records to evaluate a computerized decision support system for staphylococcus bacteremia
Author(s): Palm, JuliaLook up in the Integrated Authority File of the German National Library
Alaid, Ssuhir
Hartig, Anne-KathrinLook up in the Integrated Authority File of the German National Library
Pietzner, DianaLook up in the Integrated Authority File of the German National Library
Tiller, DanielLook up in the Integrated Authority File of the German National Library
Mikolajczyk, RafaelLook up in the Integrated Authority File of the German National Library
[und viele weitere]
Issue Date: 2025
Type: Article
Language: English
Abstract: Infectious disease specialists (IDS) improve outcomes of patients with Staphylococcus bacteremia, but immediate IDS access is not always guaranteed. We investigated whether a care-integrated computerized decision support system (CDSS) can safely enhance the standard of care (SOC) for these patients. We conducted a multicenter, noninferiority, interventional stepped-wedge cluster randomized controlled trial relying on the data integration centers at five university hospitals. By this means, electronic medical records can be used for part of the trial documentation. We analyzed 5056 patients from 134 wards (Staphylococcus aureus (SAB): n = 812, coagulase-negative staphylococci (CoNS): n = 4244) and found that the CDSS was noninferior to the SOC for hospital mortality in all patients. Noninferiority regarding the 90-day mortality/relapse in SAB patients was not observed and there was no evidence for differences in vancomycin usage among CoNS patients. Despite low reported usage, physicians rated the CDSS’s usability favorably. Trial registration: drks.de; Identifier: DRKS00014320; Registration Date: 2019-05-06.
URI: https://opendata.uni-halle.de//handle/1981185920/121002
http://dx.doi.org/10.25673/119046
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: npj digital medicine
Publisher: Macmillan Publishers Limited
Publisher Place: [Basingstoke]
Volume: 8
Original Publication: 10.1038/s41746-025-01569-3
Page Start: 1
Page End: 9
Appears in Collections:Open Access Publikationen der MLU

Files in This Item:
File Description SizeFormat 
s41746-025-01569-3.pdf1.05 MBAdobe PDFThumbnail
View/Open