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

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorCentre Hospitalier Universitaire, Amiens

About this trial

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.

Eligibility criteria

Qualifiers

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

Disqualifiers

Patient under legal protection/judicial measures (guardianship/custody)

Lack of signed informed consent

Trial design

Treatments tested in this trial

  • current hospital-standard databases
  • Posos

Treatment groups

770 Participants
are divided into 2 treatment groups

Sponsors and collaborators

Centre Hospitalier Universitaire, Amiens

Lead sponsor

Centre Hospitalier Public du Cotentin

Collaborator

University Hospital, Bordeaux

Collaborator

University Hospital, Strasbourg, France

Collaborator

Clinique de l'Estrée

Collaborator

CHU Aix-en-Provence

Collaborator