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Timely, AQL-driven clinical cohort identification in openEHR infrastructures

author
Bankole, J.
Anywar, M.
Heykendorf, J.
Lütje, K.
Riemenschneider, H.
Rupp, J.
Ross, Peeter
Schreiweis, B.
statement of authorship
Johnson Bankole, Michael Anywar, Jan Heykendorf, Kevin Lütje, Hannes Riemenschneider, Jan Rupp, Peeter Ross, Björn Schreiweis
source
publisher
year of publication
pages
1336, p. 1332-1336
series
conference name, date
36th Medical Informatics Europe Conference, MIE 2026, Genoa, Italy, 25-28 May 2026
url
ISSN
0926-9630
1879-8365
ISBN
9781643686615
Open Access
Open Access
scientific publication
teaduspublikatsioon
TalTech department
language
English
subject term
keyword
openEHR RM (Reference Model)
AQL
clinical cohort identification
automated recruitment
infection surveillance
patient screening
Bankole, J., Anywar, M., Heykendorf, J., Lütje, K., Riemenschneider, H., Rupp, J., Ross, P., Schreiweis, B. Timely, AQL-driven clinical cohort identification in openEHR infrastructures // Opening the Personal Gate between Technology and Health Care, MIE 2026. : IOS Press, 2026. 1336, p. 1332-1336. (Studies in Health Technology and Informatics ; 336). https://doi.org/10.3233/SHTI260415