Optimization of Medical Time in the Emergency Department: Impact of an AI-Based System on Prescription Entry
NCT07312019 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 770
Last updated 2026-01-08
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
- 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
Sponsors & Collaborators
-
Centre Hospitalier Public du Cotentin
collaborator UNKNOWN -
University Hospital, Bordeaux
collaborator OTHER -
University Hospital, Strasbourg, France
collaborator OTHER -
Clinique de l'Estrée
collaborator UNKNOWN -
CHU Aix-en-Provence
collaborator UNKNOWN -
Centre Hospitalier Universitaire, Amiens
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-01-31
- Primary Completion
- 2027-01-31
- Completion
- 2027-01-31
Countries
- France
Study Locations
More Related Trials
-
Qualitative Research Among Physicians and Junior Doctors Into the Preconditions for Implementing a CDSS Based on AI in the ICU
NCT05303025 ·Status: COMPLETED
-
Conversational AI Platform for Early Pregnancy Care City-wide Recruitment: A Feasibility Study
NCT07197892 ·Status: RECRUITING ·Phase: NA
-
Artificial Intelligence (IA) Advanced Triage Tool for G&O Emergencies
NCT05382000 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
AMIE's Clinical Conversational Abilities in an Urgent Care Setting
NCT06911398 ·Status: COMPLETED
-
DAISY- Diagnostic AI System for Robotic and Automated Triage and Assessment
NCT06571838 ·Status: COMPLETED
-
Point-of-Care AI Assistance and Critical Care Outcomes: A Randomized Trial
NCT07293078 ·Status: NOT_YET_RECRUITING ·Phase: PHASE1/PHASE2
-
Artificial Intelligence + Care Coach Intervention
NCT05352399 ·Status: COMPLETED ·Phase: NA
-
Evaluation and Optimization of Telephone Triage Using Artificial Intelligence (AI) Models for the Detection of Demands for Time-dependent Pathology at the Emergency and Urgent Care Coordination Center (CCUE).
NCT07247669 ·Status: RECRUITING
-
Safety and Reliability of Artificial Intelligence Driven Symptom Assessment in Children and Adolescentes
NCT04661488 ·Status: UNKNOWN
-
Artificial Intelligence (AI) in Cardiotocography (CTG) Interpretation
NCT04584281 ·Status: UNKNOWN
-
Using Generative Artificial Intelligence (AI) to Create Patient-Friendly Discharge Summaries
NCT06711458 ·Status: COMPLETED ·Phase: NA
-
Safe and Explainable AI
NCT06694181 ·Status: RECRUITING
-
AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data.
NCT07312968 ·Status: ACTIVE_NOT_RECRUITING
-
Artificial Intelligence to Improve Physicians' Interpretation of Chest X-Rays in Breathless Patients
NCT05117320 ·Status: UNKNOWN ·Phase: NA
-
Integrating Artificial Intelligence Into International Classification of Functioning, Disability, and Health Coding: Effectiveness of a Mobile Application for Patient Questionnaires
NCT07021781 ·Status: COMPLETED ·Phase: NA
-
Mobile Education for Emergency Ultrasound
NCT03738033 ·Status: COMPLETED
-
Comparing AI Role-Play and Peer Role-Play for Informed Consent Training in Endoscopy: A Randomized Control Trial
NCT07069504 ·Status: RECRUITING ·Phase: NA
-
AI-Assisted Chemotherapy Side Effect Management
NCT07198581 ·Status: RECRUITING ·Phase: NA
-
Evaluating the Use of Artificial Intelligence to Improve Family Conversations for Intensive Care Patients and Their Families
NCT06756542 ·Status: RECRUITING
-
Coronavirus: Ventilator Outcomes Using Artificial Intelligence Chest Radiographs & Other Evidence-based Co-variates
NCT04855539 ·Status: UNKNOWN
-
Artificial Intelligence for Learning Point-of-Care Ultrasound
NCT05900440 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
Development of a Natural Language Processing Tool to Enable Clinical Research in Emergency Medicine
NCT06240572 ·Status: RECRUITING
-
Video-Interpreting in Prehospital Emergency Medicine - Feasibility Study
NCT06322004 ·Status: RECRUITING
-
Would Artificial Intelligence Reduce Delays to Nurse Response Times
NCT06043986 ·Status: RECRUITING
-
Build-up Computed Assisted History Taking, Physical Examination and Diagnosis System of Emergency Patient Through Machine Learning (II)
NCT05596929 ·Status: UNKNOWN ·Phase: NA