2026-04-17T18:39:45Zhttps://recercat.cat/oai/requestoai:recercat.cat:10459.1/4687382025-10-20T18:52:03Zcom_2072_3622col_2072_479130
RECERCAT
author
Taules, Yolanda
author
Gros Navés, Silvia
author
Viladrosa, Maria
author
Llorens, Natàlia
author
Solis, Sílvia
author
Yuguero Torres, Oriol
2025-03-03
Background: The demand for immediate care in emergency departments (EDs) has risen since the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) pandemic.
Objective: Test the ability of AI to promote reverse referral and to provide patient education.
Methods: Pilot study that included patients presenting to our Hospital Emergency Department (HED) with a non severe disease and who met the inclusion criteria. The participants were asked to answer a series of questions using an electronic device and receive a recommendation for health attention. Then, patients could choose to either remain in the hospital or leave.
Results: 427 patients finally participated in the pilot study. Within this population, 49.5% were women, and the mean patient age was 37.5 years. Mediktor recommended reverse referral to urgent care in 43.6%. Our results demonstrate that the tool is safe and provides accurate patient screening, correctly distinguishing between those who should continue to wait for HED care and those for whom an urgent care center is adequate.
cc-by, (c) Taules et al., 2025 Attribution 4.0 International info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/
AI
Emergency care
Primary care
Health serivces
Medical informatic applications
Use of artificial intelligence for reverse referral between a hospital emergency department and a primary urgent care center
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion