{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T22:41:30Z","timestamp":1694644890708},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684284","type":"print"},{"value":"9781643684291","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,12]]},"abstract":"<jats:p>The detection and prevention of medication-related health risks, such as medication-associated adverse events (AEs), is a major challenge in patient care. A systematic review on the incidence and nature of in-hospital AEs found that 9.2% of hospitalised patients suffer an AE, and approximately 43% of these AEs are considered to be preventable. Adverse events can be identified using algorithms that operate on electronic medical records (EMRs) and research databases. Such algorithms normally consist of structured filter criteria and rules to identify individuals with certain phenotypic traits, thus are referred to as phenotype algorithms. Many attempts have been made to create tools that support the development of algorithms and their application to EMRs. However, there are still gaps in terms of functionalities of such tools, such as standardised representation of algorithms and complex Boolean and temporal logic. In this work, we focus on the AE delirium, an acute brain disorder affecting mental status and attention, thus not trivial to operationalise in EMR data. We use this AE as an example to demonstrate the modelling process in our ontology-based framework (TOP Framework) for modelling and executing phenotype algorithms. The resulting semantically modelled delirium phenotype algorithm is independent of data structure, query languages and other technical aspects, and can be run on a variety of source systems in different institutions.<\/jats:p>","DOI":"10.3233\/shti230695","type":"book-chapter","created":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T07:05:47Z","timestamp":1694502347000},"source":"Crossref","is-referenced-by-count":0,"title":["Modelling Adverse Events with the TOP Phenotyping Framework"],"prefix":"10.3233","author":[{"given":"Christoph","family":"Beger","sequence":"first","affiliation":[{"name":"Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna Maria","family":"Boehmer","sequence":"additional","affiliation":[{"name":"Institute of Pharmacy, Department of Clinical Pharmacy, University of Bonn"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Beate","family":"Mussawy","sequence":"additional","affiliation":[{"name":"Hospital Pharmacy, University Medical Center Hamburg-Eppendorf"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Louisa","family":"Redeker","sequence":"additional","affiliation":[{"name":"Department of Clinical Pharmacology, School of Medicine, Faculty of Health, Witten\/Herdecke University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Franz","family":"Matthies","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ralph","family":"Sch\u00e4fermeier","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Annette","family":"H\u00e4rdtlein","sequence":"additional","affiliation":[{"name":"Institute of General Practice and Family Medicine, University Hospital, LMU Munich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tobias","family":"Dreischulte","sequence":"additional","affiliation":[{"name":"Institute of General Practice and Family Medicine, University Hospital, LMU Munich"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Neumann","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandr","family":"Uciteli","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences 2023 \u2013 Science. Close to People."],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230695","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T07:05:48Z","timestamp":1694502348000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230695"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,12]]},"ISBN":["9781643684284","9781643684291"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230695","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,12]]}}}