COVID datasets using openEHR

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• The original thread where the collaboration kicked off can be viewed here: https://discourse.openehr.org/t/openehr-covid-19-project/448 and all other COVID19 threads here: https://discourse.openehr.org/c/covid19/32
• And the first press release: https://www.openehr.org/news_events/openehr_news/311
• Building on the initial ‘quick and dirty’ work to get things rolling, a formal project has been created, which contains a growing number of national or project based datasets and can be viewed here: https://ckm.openehr.org/ckm/projects/1013.30.81. These data sets are being deployed in projects in UK, China, Norway and Italy, using the common set of information models underpinning them, all translated as appropriate for local language implementation.
  • The Chinese data set represents the official Chinese guidelines for diagnosis and treatment of COVID 19 and is currently being implemented as CDS to support clinicians in hospitals in Wuhan.
  • The Italian data set is being implemented in Sardinia.
  • The Norwegian data set has been implemented in the largest hospital vendor system in Norway - https://www.nrk.no/nordland/dips-med-app-som-skal-hjelpe-med-kartlegging-og-sporing-av-koronavirus-1.14982075 (in Norwegian, but Google translate does an OK job).

It is a significant collaborative effort, demonstrating that information models can be shared across vendors and implementation for similar purpose but addressing different aspect of the problem, and noticeably has fast-tracked development because of the underlying philosophy of reuse and sharing. Likewise, these templates are all in the public domain and can be shared, reused or used as a starting point for others to leverage their own datasets so this momentum has potential to grow further.

Source: Atomica Informatics media release, 27 April 2020

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