Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review.

ABSTRACT: Medical care can fail for various reasons: diseases can remain undetected and their severity misjudged, therapies can be incorrectly dosed or ineffective, and therapies can trigger new conditions or adverse drug reactions (ADR). To manage the complexity of changing patient circumstances, data-driven techniques play an increasingly important role in monitoring patient safety and treatment success. Therefore, clinical prediction models need to consider longitudinal factors ("Prescribing Monitoring") to ensure clinically meaningful results and avoid misclassification in the dynamic health situation of the individual patient. We have conducted a scoping review (OSF registration: https://doi.org/10.17605/OSF.IO/P93TZ ) on prediction models for ADR to collect potential use cases for Prescribing

SUBMITTER: Scherkl C 

PROVIDER: S-EPMC12224581 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature