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

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.

Study Overview

• Status: Not yet recruiting
• Conditions: Artificial Intelligence; Emergency Department; Clinical Decision Support; Medication; Prescription; Drug-related Iatrogenesis; Transcription; Reconciliation
• Intervention / Treatment: Other: current hospital-standard databases; Device: Posos

• Study Type: Interventional
• Enrollment (Estimated): 770
• Phase: Not Applicable

Contacts and Locations

• Study Contact: Name: Aurélien Mary, Pr; Phone Number: 33+322088051; Email: mary.aurélien@chu-amiens.fr

Study Locations

• France
  • Amiens, France, 80480
    • CHU Amiens
    • Contact: Aurélien Mary, Pr; Phone Number: 03.22.08.83.71; Email: mary.aurelien@chu-amiens.fr
    • Sub-Investigator: Daniel Aiham Ghazali, Pr
    • Principal Investigator: Etienne QUOIRIN, MD
    • Principal Investigator: Cédric GIL-JARDINE, MD
    • Principal Investigator: Jean-François LAUDE, MD
    • Principal Investigator: Nada DELOT-EL FAKHRI, MD
    • Principal Investigator: Bastien JULLIARD, MD

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

Description

Inclusion Criteria:

• Age ≥18 years
• Admission to emergency department at a participating center
• Polymedicated patients with prescriptions including ≥8 medication lines (including those for long-term illnesses)
• Signed informed consent

Exclusion Criteria:

• Patient under legal protection/judicial measures (guardianship/custody)
• Lack of signed informed consent

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Other
• Allocation: Randomized
• Interventional Model: Parallel Assignment
• Masking: None (Open Label)

Number of Arms

2

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Active Comparator: Standard prescription; Standard prescription management	Other: current hospital-standard databases; Prescription management using current hospital-standard databases and tools
Experimental: PoSOS; POSOS-assisted prescription management	Device: Posos; Prescription management supported by POSOS device (OCR+AI) for structured data entry and clinical decision support

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Medical time required for the transcription of prescriptions	Medical time required for the transcription of prescriptions for at-risk polymedicated patients at emergency admission. This is measured by the duration needed to transcribe prescriptions into the structured electronic health record by physicians, assessed by direct observation with a stopwatch	Day 1

Secondary Outcome Measures

Outcome Measure	Time Frame
Overall survival	at 6 months
Number of drug-related problems (DRPs) identified per patient	day 1
Proportion and type of transcription errors (medication name or dosage)	day 1
Identification of DRPs by subtype and severity	day 1
Rate of reconciled medication histories and structured documentation	day 1
Time delays between triage, anamnesis, and diagnosis	day 1
Length of emergency department stay and downstream hospitalizations	day 1
Readmission rates	at 3 months
Mapping of DRPs by subtype and severity	day 1

Collaborators and Investigators

• Sponsor: Centre Hospitalier Universitaire, Amiens
• Collaborators: University Hospital, Strasbourg, France; University Hospital, Bordeaux; Centre Hospitalier Public du Cotentin; CHU Aix-en-Provence; Clinique de l'Estrée

Study record dates

Study Major Dates

• Study Start (Estimated): January 1, 2026
• Primary Completion (Estimated): January 1, 2027
• Study Completion (Estimated): January 1, 2027

Study Registration Dates

• First Submitted: November 17, 2025
• First Submitted That Met QC Criteria: December 16, 2025
• First Posted (Estimated): December 31, 2025

Study Record Updates

• Last Update Posted (Actual): January 8, 2026
• Last Update Submitted That Met QC Criteria: January 6, 2026
• Last Verified: January 1, 2026

More Information

Terms related to this study

• Keywords: medication; randomized trial; artificial intelligence; emergency department; clinical decision support; prescription; transcription; reconciliation; Drug-related iatrogenesis
• Additional Relevant MeSH Terms: Pathologic Processes; Disease Attributes; Pathological Conditions, Signs and Symptoms; Emergencies
• Other Study ID Numbers: PI2024_843_0120

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No