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

C

Centre Hospitalier Universitaire, Amiens

Status

Not yet enrolling

Conditions

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

Treatments

Device: Posos
Other: current hospital-standard databases

Study type

Interventional

Funder types

Other

Identifiers

NCT07312019
PI2024_843_0120

Details and patient eligibility

About

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.

Enrollment

770 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

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

Trial design

Primary purpose

Other

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

770 participants in 2 patient groups

Standard prescription
Active Comparator group
Description:
Standard prescription management
Treatment:
Other: current hospital-standard databases
PoSOS
Experimental group
Description:
POSOS-assisted prescription management
Treatment:
Device: Posos

Trial contacts and locations

1

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Central trial contact

Aurélien Mary, Pr

Data sourced from clinicaltrials.gov

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