Timely, AQL-Driven Clinical Cohort Identification in openEHR Infrastructures.
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| Title: | Timely, AQL-Driven Clinical Cohort Identification in openEHR Infrastructures. |
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| Authors: | Bankole J; Institute for Medical Informatics and Artificial Intelligence, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.; Medical Data Integration Center, Universiy Hospital Schleswig-Holstein, Germany., Anywar M; Department of Health Technologies, Tallinn University of Technology, Estonia., Heykendorf J; Leibniz Lung Clinic, Department of Medicine I, University Hospital Schleswig-Holstein, Kiel, Germany., Lütje K; Leibniz Lung Clinic, Department of Medicine I, University Hospital Schleswig-Holstein, Kiel, Germany., Riemenschneider H; Leibniz Lung Clinic, Department of Medicine I, University Hospital Schleswig-Holstein, Kiel, Germany., Rupp J; Institute of Medical Microbiology, University Hospital Schleswig-Holstein, Kiel and Lübeck, Germany.; Infectious Disease Clinic, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany., Ross P; Department of Health Technologies, Tallinn University of Technology, Estonia., Schreiweis B; Institute for Medical Informatics and Artificial Intelligence, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.; Medical Data Integration Center, Universiy Hospital Schleswig-Holstein, Germany. |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 1332-1336. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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