Your browser doesn't support javascript.
Motivating Developers to Use Interoperable Standards for Data in Pandemic Health Apps.
Muzoora, Michael Rusongoza; El-Badawi, Nabil; Elsner, Christian; Essenwanger, Andrea; Gocke, Peter; Krefting, Dagmar; Poyraz, Rasim Atakan; Pryss, Rüdiger; Sax, Ulrich; Thun, Sylvia.
  • Muzoora MR; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Germany.
  • El-Badawi N; Charité - Universitätsmedizin Berlin, Germany.
  • Elsner C; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Germany.
  • Essenwanger A; Charité - Universitätsmedizin Berlin, Germany.
  • Gocke P; Universitätsmedizin Mainz, Germany.
  • Krefting D; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Germany.
  • Poyraz RA; Charité - Universitätsmedizin Berlin, Germany.
  • Pryss R; Hochschule Niederrhein - University of Applied Sciences, Krefeld, Germany.
  • Sax U; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Germany.
  • Thun S; Charité - Universitätsmedizin Berlin, Germany.
Stud Health Technol Inform ; 281: 1027-1028, 2021 May 27.
Article in English | MEDLINE | ID: covidwho-1247826
ABSTRACT
The COVID-19 pandemic has brought along a massive increase in app development. However, most of these apps are not using interoperable data. The COMPASS project of the German COVID-19 Research Network of University Medicine ("Netzwerk Universitätsmedizin (NUM)") tackles this issue, by offering open-source technology, best practice catalogues, and suggestions for designing interoperable pandemic health applications (https//www.netzwerk-universitaetsmedizin.de/projekte/compass). Therefore, COMPASS conceived a framework that includes automated conformity checks as well as reference implementations for more efficient and pandemic-tailored app developments. It further aims to motivate and support developers to use interoperable standards.
Subject(s)
Keywords
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Mobile Applications / COVID-19 Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2021 Document Type: Article Affiliation country: SHTI210339

Similar

MEDLINE
LILACS
LIS
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Mobile Applications / COVID-19 Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2021 Document Type: Article Affiliation country: SHTI210339