An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • HiGHmed lnfection Control Study Grp - (Autor:in)
  • Pascal Biermann - , Technische Universität Braunschweig, Medizinische Hochschule Hannover (MHH), Carl von Ossietzky Universität Oldenburg (Autor:in)
  • Claas Baier - , Medizinische Hochschule Hannover (MHH) (Autor:in)
  • Ann Christin Vietor - , Robert Koch-Institut (Autor:in)
  • Benedikt Zacher - , Robert Koch-Institut (Autor:in)
  • Tom Baumgartl - , Universität zu Köln (Autor:in)
  • Tatiana von Landesberger - , Universität zu Köln (Autor:in)
  • Michael Behnke - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Michael Storck - , Westfälische Wilhelms-Universität Münster (Autor:in)
  • Markus Petzold - , Institut für Medizinische Mikrobiologie und Virologie, Universitätsklinikum Carl Gustav Carus Dresden, Universitätsklinikum Heidelberg (Autor:in)
  • Martin Kaase - , Georg-August-Universität Göttingen (Autor:in)
  • Dirk Schlueter - , Medizinische Hochschule Hannover (MHH) (Autor:in)
  • Michael Marschollek - , Technische Universität Braunschweig, Medizinische Hochschule Hannover (MHH) (Autor:in)
  • Simone Scheithauer - , Georg-August-Universität Göttingen (Autor:in)
  • Antje Wulff - , Technische Universität Braunschweig, Medizinische Hochschule Hannover (MHH), Carl von Ossietzky Universität Oldenburg (Autor:in)

Abstract

Early outbreak detection, allowing rapid intervention, is essential to reduce the burden of healthcare-associated pathogen transmission, including multidrug-resistant bacteria. Digital, routine data-driven solutions are promising, but often proprietary, non-interoperable, or limited in functional scope. The open-source Smart Infection Control System (SmICS) offers automatic calculations and interactive views on patients' movement and lab data, epidemic curves, contact networks, complemented by temporal-spatial visualizations. It is an open-source software based on openEHR as an interoperability standard and was evaluated by assessing time efficiencies in performing basic infection control tasks (e.g., contact networks) and usability with the System Usability Scale (SUS). Evaluated at three sites, SmICS reduced the time needed for performing routine infection control tasks by up to 81.47% (68.5 min (95%CI [30.5-106.5])) reaching a SUS of 51.6 points. The study reveals time savings through the use of SmICS in daily tasks, but also identified usability issues and a need for minimizing query waiting times.

Details

OriginalspracheEnglisch
Aufsatznummer385
Seitenumfang10
Fachzeitschrift npj digital medicine
Jahrgang8
Ausgabenummer1
PublikationsstatusVeröffentlicht - 30 Juni 2025
Peer-Review-StatusJa

Externe IDs

PubMed 40588668
unpaywall 10.1038/s41746-025-01795-9
Scopus 105016096714

Schlagworte

Schlagwörter

  • Hospital-onset bacteremia, Care-associated infection