MATEC Web Conf.
Volume 76, 201620th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
|Number of page(s)||4|
|Published online||21 October 2016|
Standardized headings as a foundation for semantic interoperability in EHR
1 Dalarna County Council, Falun, Sweden
2 Uppsala County Council and Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
a Amra Halilovic: firstname.lastname@example.org
The new Swedish Patient Act, which allows patients to choose health care in county councils other than their own, creates the need to be able to share health-related information contained in electronic health records [EHRs) across county councils. This demands interoperability in terms of structured and standardized data. Headings in EHR could also be a part of structured and standardized data. The aim was to study to what extent terminology is shared and standardized across county councils in Sweden. Headings from three county councils were analyzed to see to what extent they were shared and to what extent they corresponded to concepts in SNOMED CT and the National Board of Health and Welfare’s term dictionary [NBHW’s TD). In total 41% of the headings were shared across two or three county councils. A third of the shared headings corresponded to concepts in SNOMED CT. Further, an eighth of the shared headings corresponded to concepts in NBHW’s TD. The results showed that the extent of shared and standardized terminology in terms of headings across the studied three county councils were negligible.
Key words: Terminology / Snomed CT / Electronic Health Records / Healthcare Information and Management Systems / Health Informatics / Data Engineering
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.