Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts
by
Scheithauer, Simone
, Biermann, Pascal
, Kaase, Martin
, Zacher, Benedikt
, von Landesberger, Tatiana
, Storck, Michael
, Petzold, Markus
, Vietor, Ann Christin
, Marschollek, Michael
, Wulff, Antje
, Baier, Claas
, Schlüter, Dirk
, Baumgartl, Tom
, Behnke, Michael
in
631/114/2401
/ 631/114/2416
/ 631/114/794
/ 631/326/22/1434
/ 631/326/2521
/ 692/699/255
/ Algorithms
/ Automation
/ Biomedicine
/ Biotechnology
/ COVID-19
/ Data models
/ Disease control
/ Disease transmission
/ Epidemics
/ Hospitals
/ Infections
/ Interoperability
/ Medicine
/ Medicine & Public Health
/ Microbiology
/ Pathogens
/ Patients
/ Software
/ Visualization
/ Workloads
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts
by
Scheithauer, Simone
, Biermann, Pascal
, Kaase, Martin
, Zacher, Benedikt
, von Landesberger, Tatiana
, Storck, Michael
, Petzold, Markus
, Vietor, Ann Christin
, Marschollek, Michael
, Wulff, Antje
, Baier, Claas
, Schlüter, Dirk
, Baumgartl, Tom
, Behnke, Michael
in
631/114/2401
/ 631/114/2416
/ 631/114/794
/ 631/326/22/1434
/ 631/326/2521
/ 692/699/255
/ Algorithms
/ Automation
/ Biomedicine
/ Biotechnology
/ COVID-19
/ Data models
/ Disease control
/ Disease transmission
/ Epidemics
/ Hospitals
/ Infections
/ Interoperability
/ Medicine
/ Medicine & Public Health
/ Microbiology
/ Pathogens
/ Patients
/ Software
/ Visualization
/ Workloads
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts
by
Scheithauer, Simone
, Biermann, Pascal
, Kaase, Martin
, Zacher, Benedikt
, von Landesberger, Tatiana
, Storck, Michael
, Petzold, Markus
, Vietor, Ann Christin
, Marschollek, Michael
, Wulff, Antje
, Baier, Claas
, Schlüter, Dirk
, Baumgartl, Tom
, Behnke, Michael
in
631/114/2401
/ 631/114/2416
/ 631/114/794
/ 631/326/22/1434
/ 631/326/2521
/ 692/699/255
/ Algorithms
/ Automation
/ Biomedicine
/ Biotechnology
/ COVID-19
/ Data models
/ Disease control
/ Disease transmission
/ Epidemics
/ Hospitals
/ Infections
/ Interoperability
/ Medicine
/ Medicine & Public Health
/ Microbiology
/ Pathogens
/ Patients
/ Software
/ Visualization
/ Workloads
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts
Journal Article
An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts
2025
Request Book From Autostore
and Choose the Collection Method
Overview
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.
This website uses cookies to ensure you get the best experience on our website.