Trials / Not Yet Recruiting
Not Yet RecruitingNCT07312019
Optimization of Medical Time in the Emergency Department: Impact of an AI-Based System on Prescription Entry
- Status
- Not Yet Recruiting
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 770 (estimated)
- Sponsor
- Centre Hospitalier Universitaire, Amiens · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
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
| Type | Name | Description |
|---|---|---|
| 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 |
Timeline
- Start date
- 2026-01-01
- Primary completion
- 2027-01-01
- Completion
- 2027-01-01
- First posted
- 2025-12-31
- Last updated
- 2026-01-08
Locations
1 site across 1 country: France
Source: ClinicalTrials.gov record NCT07312019. Inclusion in this directory is not an endorsement.