Decreasing Serious Adverse Events Via Data-Mining

Develop a software tool to track, reference, and reduce serious adverse events related to prescription medicines

Context

Serious adverse events (SAE) related to drug interactions constitute a major cause of hospitalization or morbidity during the hospital stay. An estimated 11% of cases of hospitalization in Switzerland are related to SAE. Half of them could be avoided. Unfortunately, only 5 to 10% of SAE are spontaneously reported to drug safety.

 

Project

This project consists of a retrospective analysis of clinical pharmacology appointments for SAE between 2012 and 2016, and of data from over 1500 integrated patient records (IPR) in order to detect and track the most common SAE at the HUG and thus improve drug safety.
The indicator of the number of SAE detected automatically and SAE reported to Swissmedic will be measured. An evaluation of the tool’s performance will be conducted.

 

project manager

Dr. Caroline Samer, Deputy Head Physician and Clinical Professor, Clinical Pharmacology and Toxicology Division, Department of Anesthesiology, Pharmacology, and Intensive Care.

Dr. Kuntheavy Ing Lorenzini, Head Pharmacist, Clinical Pharmacology Division, Department of Anesthesiology, Pharmacology, and Intensive Care, Geneva University Hospitals.