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NOT YET RECRUITING
NCT07312019
NA

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

Sponsor: Centre Hospitalier Universitaire, Amiens

View on ClinicalTrials.gov

Summary

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.

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

INTERVENTIONAL

Enrollment

770

Start Date

2026-01

Completion Date

2027-01

Last Updated

2026-01-08

Healthy Volunteers

No

Interventions

OTHER

current hospital-standard databases

Prescription management using current hospital-standard databases and tools

DEVICE

Posos

Prescription management supported by POSOS device (OCR+AI) for structured data entry and clinical decision support

Locations (1)

CHU Amiens

Amiens, France