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NCT Number: NCT07312019

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.

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Key information

Conditions

Drug-related Iatrogenesis Artificial Intelligence Clinical Decision Support Disease Attributes Emergencies Emergency Department Medication Pathologic Processes Pathological Conditions, Signs and Symptoms Prescription Reconciliation Transcription

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

CHU Amiens

Amiens, 80480, France

Location contact

Aurélien Mary, Pr

CONTACT

[email protected]

03.22.08.83.71

Bastien JULLIARD, MD

PRINCIPAL_INVESTIGATOR

Cédric GIL-JARDINE, MD

PRINCIPAL_INVESTIGATOR

Daniel Aiham Ghazali, Pr

SUB_INVESTIGATOR

Etienne QUOIRIN, MD

PRINCIPAL_INVESTIGATOR

Jean-François LAUDE, MD

PRINCIPAL_INVESTIGATOR

Nada DELOT-EL FAKHRI, MD

PRINCIPAL_INVESTIGATOR

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

current hospital-standard databases

Other

Prescription management using current hospital-standard databases and tools

Posos

Device

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

Primary outcomes

  1. Medical time required for the transcription of prescriptions

    Time frame: Day 1

    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

Secondary outcomes

  1. Number of drug-related problems (DRPs) identified per patient

    Time frame: day 1

  2. Proportion and type of transcription errors (medication name or dosage)

    Time frame: day 1

  3. Identification of DRPs by subtype and severity

    Time frame: day 1

  4. Rate of reconciled medication histories and structured documentation

    Time frame: day 1

  5. Time delays between triage, anamnesis, and diagnosis

    Time frame: day 1

  6. Length of emergency department stay and downstream hospitalizations

    Time frame: day 1

  7. Readmission rates

    Time frame: at 3 months

  8. Overall survival

    Time frame: at 6 months

  9. Mapping of DRPs by subtype and severity

    Time frame: day 1

Study contacts

Contact information is provided by the study sponsor or research team.

Aurélien Mary, Pr

CONTACT

mary.auré[email protected]

33+322088051

Sponsors and collaborators

Lead sponsor

Centre Hospitalier Universitaire, Amiens

Other

Collaborators

  • CHU Aix-en-Provence
  • Centre Hospitalier Public du Cotentin
  • Clinique de l'Estrée
  • University Hospital, Bordeaux
  • University Hospital, Strasbourg, France

Registry information

Acronym: YGénHIAL

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
Dec 31, 2025
Registry last updated
Jan 8, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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