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Article

Development of phenotype algorithms for the detection of adverse events in electronic health record data: a multicentre study.

BMJ open - 22 Jun 2026

Redeker Louisa, Haerdtlein Annette, Wermund Anna Maria, Mussawy Beate, Rottenkolber Marietta, Coenen Martin, Dürr Pauline, Federbusch Martin, Jüttner Christian Philipp, Schuster Anna Kathrin, Seidling Hanna Marita, Uciteli Alexandr, Beger Christoph, Neumann Daniel, Loeffler Markus, Dreischulte Tobias, Schmiedl Sven

Abstract excerpt

OBJECTIVES: To develop phenotype algorithms for the detection of adverse events (AEs) or AE-proxies in electronic health records (EHRs), accounting for varying data availability. DESIGN: Multicentre study conducted as part of the Use Case POLAR_MI (POLypharmacy, drug interActions, Risks) of the German Medical Informatics Initiative (MII). SETTING: Germany. PARTICIPANTS: Multidisciplinary teams from 10 German...

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Identifiers

PMID: 42331581
DOI: 10.1136/bmjopen-2025-111175
PMCID: PMC13288693

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