Tracing COVID-19 Infection Chains Within Healthcare Institutions - Another Brick in the Wall Against SARS-CoV-2...18th World Congress of Medical and Health Informatics, MedInfo 2021 - One World, One Health – Global Partnership for Digital Innovation, 2-4 October, 2021.
Early anticipation of COVID-19 infection chains within hospitals is of high importance for initiating suitable measures at the right time. Infection control specialists can be supported by application systems able of consolidating and analyzing heterogeneous, up-to-now non-standardized and distribut...
| Publicado en: | Studies in Health Technology & Informatics Vol. 290; pp. 699 - 704 |
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| Autores principales: | , , , , , , , , |
| Formato: | computer program proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157572043&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157572043 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2022 vid: 290 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 157572043 157572043 157572043 10.3233/SHTI220168 157572043 ppf: 699 ppct: 5 formats: tig: atl: Tracing COVID-19 Infection Chains Within Healthcare Institutions - Another Brick in the Wall Against SARS-CoV-2...18th World Congress of Medical and Health Informatics, MedInfo 2021 - One World, One Health – Global Partnership for Digital Innovation, 2-4 October, 2021. aug: au: Wulff, Antje Biermann, Pascal von Landesberger, Tatiana Baumgartl, Tom Schmidt, Christoph Alhaji, Alan Yussef Schick, Kristina Waldstein, Paul Yufei Zhu affil: Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany sug: subj: COVID-19 Diagnosis COVID-19 Prevention and Control Cross Infection Prevention and Control Contact Tracing Health Facilities Electronic Data Interchange Medical Informatics Electronic Health Records Hospital Information Systems Disease Transmission Prevention and Control Human Congresses and Conferences Algorithms User-Computer Interface Funding Source Health Level 7 Descriptive Statistics ab: Early anticipation of COVID-19 infection chains within hospitals is of high importance for initiating suitable measures at the right time. Infection control specialists can be supported by application systems able of consolidating and analyzing heterogeneous, up-to-now non-standardized and distributed data needed for tracking COVID-19 infections and infected patients' hospital contacts. We developed a system, Co-Surv- SmICS, assisting in infection chain detection, in an open and standards-based way to ensure reusability of the system across institutions. Data is modelled in alignment to various national modelling initiatives and consensus data definitions, queried in a standardized way by the use of OpenEHR as information modelling standard and its associated model-based query language, analyzed and interactively visualized in the application. A first version has been published and will be enhanced with further features and evaluated in detail with regard to its potentials to support specialists during their work against SARS-CoV-2. pubtype: Academic Journal doctype: computer program proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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