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.

NCT Number	NCT07312019
Lead Sponsor	Centre Hospitalier Universitaire, Amiens Collaborators: Centre Hospitalier Public du Cotentin, University Hospital, Bordeaux, University Hospital, Strasbourg, France, Clinique de l'Estrée, CHU Aix-en-Provence
Conditions	Drug-related Iatrogenesis, Emergency Department, Artificial Intelligence, Clinical Decision Support, Prescription, Transcription, Medication, Reconciliation
Enrollment	770 participants
Start Date	2026-01
Primary Completion	2027-01 (estimated)
Study Completion	2027-01 (estimated)
Updated on ClinicalTrials.gov	2026-01-08