Challenges in detecting and predicting adverse drug events via distributed analysis of electronic health record data from German university hospitals.

ABSTRACT: The Medical Informatics Initiative Germany (MII) aims to facilitate the interoperability and exchange of electronic health record data from all German university hospitals. The MII use case "POLyphamacy, drug interActions and Risks" (POLAR_MI) was designed to retrospectively detect medication-related risks in adult inpatients. As part of POLAR_MI, we aimed to build predictive models for specific adverse events. Here, using the two adverse events gastrointestinal bleeding and drug-related hypoglycaemia as examples, we present our initial investigation to determine whether these adverse events and their associations with potential risk factors can be detected. We applied a two-step distributed analysis approach to electronic health record data from 2018 to 2021. This approach consisted of a

SUBMITTER: Wermund AM 

PROVIDER: S-EPMC12200832 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature