Clinical Research Directory

Optimization of Medical Time in the Emergency Department: Impact of an AI-Based System on Prescription Entry

Drug-related iatrogenesis is a major public health issue, accounting for a significant proportion of adverse events and hospitalizations in emergency departments. Optimizing prescription management in this context is critical to improve both patient safety and physician efficiency This study aims to evaluate the impact of the POSOS AI-driven device on the medical time required for prescription management in polymedicated patients admitted to emergency departments. The main objective is to establish whether the use of POSOS can reduce transcription time compared to standard electronic management.

Optimization of Drug Prescriptions in the Care Pathway for the Elderly, With the Final Objective of Reducing the Iatrogenic Risk

The IATROPREV project is an organizational innovation experimentation project, carried out in Hauts-de-France by the University hospitals of Amiens and Lille, the ARS and the URPS Doctors and Pharmacists of Hauts-de-France and following to the social security financing law of 2018, allowing experimentation with new organizations in the health sector, according to article 51. The objectives of this course are to improve the relevance of prescription in elderly people with multiple drugs as well as, the coordination of care between the city and the hospital through the sharing of information and the establishment of multi-professional consultations between the various care actors.