
Created By Doctors
A Database created by doctors
A vast amount of medical information is supervised and updated continuously.
Here's an overview of our data in numbers.
+ 45K
+ 9K
+ 940
+ 3500
Verified Medical Content
Mediktor's database undergoes rigorous internal and external verification processes.
This is how we do it.
Internal Verification
Manual Testing
Auto-Testing
Vignettes
Reviewed by Third-Party Experts

Tropical Diseases

Sensory, Physical, and Intellectual Disabilities

Mental Health

Gynecology and Obstetrics

LGBTQIA+
Scientific Trials
Experience of Mediktor®: a new symptom checker based on Artificial Intelligence, in patients treated in an Emergency Department
Hospital Clínic de Barcelona

Evaluation of a Diagnostic Decision Support System for the Triage of Patients in a Hospital Emergency Department
Hospital Clínico San Carlos

Experience with Mediktor® (artificial intelligence) in Patients Attended in an Emergency Department in San Ignacio University Hospital in Bogotá, Colombia.
Hospital Universitario San Ignacio
Validation of a neurological triage tool in the general population based on the use of artificial intelligence algorithms.
Hospital Vall d'Hebrón

Assessment of an advanced triage tool for Gynecology and Obstetrics emergency based on artificial intelligence algorithms.
Hospital de la Santa Creu i Sant Pau.
Implementation of nurse consultation with integration of artificial intelligence software in demand management in the care process of the emergency service at Parc Taulí.
Hospital Universitari Parc Taulí.
Related Articles

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