Luis Marco-Ruiza,b, Birger Haarbrandt a, Silje Liosland Bakkec , Dongsheng Zhaod, Borut Fabjane
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Currently, various countries are fostering initiatives that rely on openEHR for the standardization and reuse of clinical data. In Germany, the HiGHmed project is using openEHR as a core specification for building a data reuse network involving eight university hospitals and 14 partners from industry and academia [3]. In Norway, the national infraestructure projects Learning Healthcare System Toolbox [4] and Praksis Net [5] are using openEHR to standardize data from GP offices for its secondary use in research, epidemiology, and quality measures. Both projects leverage the results of the Norwegian national archetype governance work conducted by Nasjonal IKT. Beyond European initiatives, China, and Brazil are relying on openEHR as open standard for the standardization of EHRs and data reuse [6,7]. Up to November 2018, the China Stroke Data Center has been used by more than 300 top hospitals, 3,700 primary hospitals and community clinics from 31 provinces of China. Over 9 million peoples’ screening data and 0.7 million patients’ EMR and follow-up data were enrolled. Also in China, the National MEHR (Military EHR) Project has started in 2017 to use openEHR for the integration of patient records from over 200 military hospitals and 1,000 military primary care clinics.
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In addition, the openEHR specification contains its own query language known as the Archetype Query Language (AQL). The AQL references archetypes rather than a specific database schema, thus making queries independent from the underlying technology, and also making the query interoperable across openEHR-based Health Information Systemshealth information systems. Another important feature is that AQL allows for embedding references to terminology servers, thus boosting their expressivity. For example, one could include SNOMED-CT Expression Constraint Language (ECL) expressions inside the AQL query. This allows executing the terminology query against a terminology server and using the result to calculate the final result set returned by the AQL query.
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