This paper is in the following e-collection/theme issue:

Computerized Provider Order Entry (CPOE) (23) Digital Health, Telehealth and e-Innovation in Clinical Settings (421) Clinical Information and Decision Making (34) Advanced Data Analytics in eHealth (142) Computer-Aided Diagnosis (135) Decision Support for Health Professionals (1210) Electronic Health Records (1068) Methods and Instruments in Medical Informatics (135) Pharmacovigilance (138) Clinical Informatics (1050)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54428, first published .
Event Analysis for Automated Estimation of Absent and Persistent Medication Alerts: Novel Methodology

Event Analysis for Automated Estimation of Absent and Persistent Medication Alerts: Novel Methodology

Event Analysis for Automated Estimation of Absent and Persistent Medication Alerts: Novel Methodology

Authors of this article:

Janina A Bittmann1 Author Orcid Image ;   Camilo Scherkl2 Author Orcid Image ;   Andreas D Meid2 Author Orcid Image ;   Walter E Haefeli1 Author Orcid Image ;   Hanna M Seidling1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Meid A, Scherkl C, Metzner M, Czock D, Seidling H. Real-World Application of a Quantitative Systems Pharmacology (QSP) Model to Predict Potassium Concentrations from Electronic Health Records: A Pilot Case towards Prescribing Monitoring of Spironolactone. Pharmaceuticals 2024;17(8):1041 View