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

NCT07312019 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 770

Last updated 2026-01-08

No results posted yet for this study

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.

Conditions

  • Drug-related Iatrogenesis
  • Emergency Department
  • Artificial Intelligence
  • Clinical Decision Support
  • Prescription
  • Transcription
  • Medication
  • Reconciliation

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

Sponsors & Collaborators

  • Centre Hospitalier Public du Cotentin

    collaborator UNKNOWN
  • University Hospital, Bordeaux

    collaborator OTHER
  • University Hospital, Strasbourg, France

    collaborator OTHER
  • Clinique de l'Estrée

    collaborator UNKNOWN
  • CHU Aix-en-Provence

    collaborator UNKNOWN
  • Centre Hospitalier Universitaire, Amiens

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-31
Primary Completion
2027-01-31
Completion
2027-01-31

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07312019 on ClinicalTrials.gov