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Assajos científics
Experiència de Mediktor®: un nou avaluador de símptomes basat en intel·ligència artificial per pacients atesos al servei d'urgències
Hospital Clínic de Barcelona

Avaluació d'un sistema de suport a la presa de decisions diagnòstiques per al triatge de pacients en un servei d'urgències hospitalari
Hospital Clínico San Carlos.

Experiència amb Mediktor® (intel·ligència artificial) en pacients atesos en un servei d'urgències de l'Hospital Universitario San Ignacio de Bogotá, Colombia.
Hospital Universitario San Ignacio
Validació d'una eina de triatge neurològic en la població general basada en l'ús d'algoritmes d'intel·ligència artificial
Hospital Vall d'Hebrón

Valoració d'una eina de triatge avançat per a emergències de ginecologia i obstetrícia basada en algoritmes d'intel·ligència artificial
Hospital de la Santa Creu i Sant Pau.
Implantació de la consulta d'infermeria amb integració d'un software d'intel·ligència artificial en la gestió de la demanda en el procés assistencial del servei d'urgències del Parc Taulí.
Hospital Universitari Parc Taulí.
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29/05/2024
HUAV Partners with Mediktor for Improved Urgent Care Management
Hospital Universitario Arnau de Vilanova (HUAV) is a healthcare provider in Lleida, Alto Pirineo y Arán, and parts of La Franja in Aragón, Spain. Healthcare professionals were struggling with overcrowded waiting rooms, and the HUAV was looking for a digital solution to help manage urgent care effectively.
Serving approximately 400,000 people, the hospital’s Emergency Department often experiences overcrowding, particularly during high-demand seasons like autumn and winter. “In winter, we have a really hard time because we triple or quadruple the real capacity,” explained Nuria Amador, Nurse of the HUAV’s Emergency Department.
In recent years, the HUAV has undergone a significant demand increase at the ED, with nearly 50% of emergency visits being non-urgent (IV and V triage levels). This rise in non-urgent visits is often caused by a lack of public awareness about alternative public healthcare services more suitable for patients with low-complexity needs, resulting in unnecessary congestion in the central hospital emergency department.
In response to this challenge, the HUAV sought a digital solution to manage urgent care cases more effectively. The answer was a reverse referral model designed to identify non-urgent patients in the emergency waiting room and redirect them to Lleida’s Urgent Primary Care Center (CUAP). “What we were looking for by adding artificial intelligence with Mediktor was to give an extra point of quality to the reverse referral process,” said Oriol Yuguero, Head of the Emergency Department.
Mediktor’s AI-driven software helped streamline the reverse referral model by meeting the hospital’s strict security standards and seamlessly integrating into its existing processes. Patients identified as having lower urgency levels (IV and V) through a traditional nurse triage were given the option to assess their symptoms using Mediktor’s software. This second AI-based assessment helped identify patients who could be seen at the CUAP and received a recommendation to leave the ED.
The results of this innovative approach were enlightening. Among those patients that Mediktor recommended to attend the CUAP, an impressive 90.9% left the Emergency Department. When patients receive and acknowledge Mediktor’s recommendation, they realize that their cases can be solved outside urgent care. This not only reduces their wait times but also empowers them to take control of their healthcare decisions. Most of these patients proceeded to the CUAP, where they received timely care and were subsequently discharged.
The implementation of Mediktor’s AI-driven reverse referral process has yielded significant benefits. For patients, it meant receiving appropriate care more quickly and efficiently. Those with non-urgent conditions were successfully redirected to CUAP, reducing their wait times and ensuring they received the care they needed without unnecessary delays.
The AI-powered reverse referral process not only benefited the patients but also had a positive impact on healthcare professionals. It helped alleviate the burden on HUAV’s emergency department, allowing for better management of time and resources. Nurses, in particular, played a crucial role in this process, actively engaging in patient evaluation and discharge. The model also contributed to better patient education, helping individuals understand the healthcare system and navigate it more effectively. “The aim is that services can be optimised and used in a correct way and, at the same time, provide health education”, expressed Sílvia Solís i Vidal, Director at CUAP Prat de la Riba of Lleida.
The successful collaboration between HUAV and Mediktor stands as a testament to the transformative power of technology in healthcare delivery. By leveraging AI to manage urgent care demand, HUAV has not only improved patient outcomes but also enhanced operational efficiency. This success story underscores the hospital’s dedication to innovation and excellence, setting a new standard for healthcare in the region and beyond.

29/03/2024
Hospital Clínic Barcelona Collaborates with Mediktor for Improved Patient Assistance in Tropical Diseases

14/02/2024