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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月30日

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  • Pascal Biermann,
  • Claas Baier,
  • Ann Christin Vietor,
  • Benedikt Zacher,
  • Tom Baumgartl,
  • Tatiana von Landesberger,
  • Michael Behnke,
  • Michael Storck,
  • Markus Petzold,
  • Martin Kaase,
  • Sarah Ballout,
  • Tim Eckmanns,
  • Petra Gastmeier,
  • Julian Varghese,
  • Vanessa M. Eichel,
  • Nicolas Reinoso-Schiller,
  • Sabine Hanß,
  • Tibor Kesztyüs,
  • Alexander Dalpke,
  • Max Klass,
  • Angela Merzweiler,
  • Jennifer Daniela Elke Hoos,
  • Peter Brunnecker,
  • Alexander Mellmann,
  • Hauke Tönnies,
  • Cora Drenkhahn,
  • Benjamin Gebel,
  • Joshua Wiedekopf,
  • Tatiana von Landesberger,
  • Dirk Schlüter,
  • Michael Marschollek,
  • Simone Scheithauer,
  • Antje Wulff

摘要

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.