2026-04-17T15:58:54Zhttps://recercat.cat/oai/request

oai:recercat.cat:10459.1/4687382025-10-20T18:52:03Zcom_2072_3622col_2072_479130

00925njm 22002777a 4500 dc Taules, Yolanda author Gros Navés, Silvia author Viladrosa, Maria author Llorens, Natàlia author Solis, Sílvia author Yuguero Torres, Oriol author 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. 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