Artificial Intelligence, Clinical Vignettes, Diagnostic Performance Study, Iatrogenesis, Medical Information Search
Conditions
Keywords
Iatrogenesis, Clinical vignettes, Diagnostic performance study, Medical Information Search, Artificial Intelligence
Brief summary
This study is a multicenter evaluation of diagnostic performance using simulated clinical vignettes. It aims to test the effectiveness of the POSOS app in detecting drug-induced iatrogenesis in urgent medical situations, an issue of public health importance. Participating physicians, who are randomly assigned to either use or not use POSOS, are categorized based on their years of experience. Vignettes, including a mixture of complex, simple, and non-iatrogenesis cases, are assigned to these doctors. During the simulation, physicians respond to their respective vignettes on the YgheniVi platform, with responses recorded at two intervals (5 min and 15 min). The supervising physicians subsequently fill out an e-CRF, providing further data on the time spent, the number of medical research applications used, and the overall user experience of POSOS. A doctor/pharmacist pair then corrects the answers to the vignettes.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Not applicable as the study population is made up of clinical vignettes, there is no inclusion of patients. * The physicians included are emergency physicians, selected by convenience so as to have as many physicians (seniority of practice 3 years after thesis) as (seniority of practice less).
Exclusion criteria
* Not applicable. * Simulations with technical faults will be excluded: (absence of the test doctor, internet access not working, PC malfunction, serious disruptions during the simulation).
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| the proportion of overall correct responses in each groups | 5 minutes |
Countries
France