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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42175088 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Timely, AQL-Driven Clinical Cohort Identification in openEHR Infrastructures. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bankole+J%22">Bankole J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Anywar+M%22">Anywar M</searchLink>; Department of Health Technologies, Tallinn University of Technology, Estonia.<br /><searchLink fieldCode="AU" term="%22Heykendorf+J%22">Heykendorf J</searchLink>; Leibniz Lung Clinic, Department of Medicine I, University Hospital Schleswig-Holstein, Kiel, Germany.<br /><searchLink fieldCode="AU" term="%22Lütje+K%22">Lütje K</searchLink>; Leibniz Lung Clinic, Department of Medicine I, University Hospital Schleswig-Holstein, Kiel, Germany.<br /><searchLink fieldCode="AU" term="%22Riemenschneider+H%22">Riemenschneider H</searchLink>; Leibniz Lung Clinic, Department of Medicine I, University Hospital Schleswig-Holstein, Kiel, Germany.<br /><searchLink fieldCode="AU" term="%22Rupp+J%22">Rupp J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ross+P%22">Ross P</searchLink>; Department of Health Technologies, Tallinn University of Technology, Estonia.<br /><searchLink fieldCode="AU" term="%22Schreiweis+B%22">Schreiweis B</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 1332-1336. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42175088 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/SHTI260415 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1332 Titles: – TitleFull: Timely, AQL-Driven Clinical Cohort Identification in openEHR Infrastructures. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bankole J – PersonEntity: Name: NameFull: Anywar M – PersonEntity: Name: NameFull: Heykendorf J – PersonEntity: Name: NameFull: Lütje K – PersonEntity: Name: NameFull: Riemenschneider H – PersonEntity: Name: NameFull: Rupp J – PersonEntity: Name: NameFull: Ross P – PersonEntity: Name: NameFull: Schreiweis B IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 05 Text: 2026 May 21 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-8365 Numbering: – Type: volume Value: 336 Titles: – TitleFull: Studies in health technology and informatics Type: main |
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