Created By Doctors

Created and supervised by doctors, our AI medical chatbot provides reliable and verified assistance. Because trust is our top priority, Mediktor's precision is based on rigorous medical quality processes that validate our content. Our medical team's mission is to professionally supervise our evaluator and keep raising our standards.

Corp Scientific Intro

A Doctor-created Database

A vast amount of medical information is supervised and updated continuously.
Here's an overview of our data in numbers.

+ 45K
Disease and symptom synonyms
+ 9K
Medical questions
+ 940
Diseases
+ 3500
Illustrations of symptoms and diseases

Verified Medical Content

Mediktor's database undergoes rigorous internal and external verification processes.
This is how we do it.

Internal Verification

Our Medical Department carries out strict internal evaluation procedures to test the accuracy of our solution.

Manual Testing
Our Medical Department carries out strict internal evaluation procedures to test the accuracy of our solution.
Auto-Testing
We have developed a dynamic set of automated tests that verify the proper association between question flows and potential diseases. These tests are designed to adapt to possible scenarios, allowing us to constantly refine our algorithm and enhance the accuracy of our assessments.
Vignettes
Our content is validated using sample cases called vignettes that simulate a comprehensive range of signs and symptoms. We monitor the performance of our NLP technology and ensure Mediktor's constant effectiveness during the assessments.

Reviewed by Third-Party Experts

Our database is created by professionals and reviewed by specialists. Experts analyse our content to offer personalised and inclusive assistance.

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Tropical Diseases

Mediktor's database has been enhanced to accurately detect the most prevalent diseases in tropical areas.

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Sensory, Physical, and Intellectual Disabilities

We've updated and reviewed our database to personalise the assistance for individuals with disabilities.

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Mental Health

We provide reliable mental health assistance that has been comprehensively analysed by experts.

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Gynecology and Obstetrics

All the G&O information and content have undergone rigorous examination and approval processes.

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Scientific Trials

Mediktor collaborates with relevant third-party organisations to conduct clinical trials involving real patients.

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Experience of Mediktor®: a new symptom checker based on artificial intelligence, in patients treated in an A&E department

Evaluation of Mediktor's accuracy compared with physicians in diagnosing low-complexity pathologies. It assesses the solution's performance in the hospital's A&E.

Hospital Clínic de Barcelona

Barcelona, Spain. 2018

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Evaluation of a diagnostic decision support system for the triage of patients in a hospital emergency department

Comparison between Manchester triage, final diagnoses made by the ED, and Mediktor's triage and pre-diagnosis. It tests the potential of the technology to complement and assist triage processes.

Hospital Clínico San Carlos

Madrid, Spain. 2018

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Experience with Mediktor® (artificial intelligence) in Patients Attended in an Emergency Department in San Ignacio University Hospital in Bogotá, Colombia.

A study to evaluate the concordance between Mediktor and an emergency doctor in the diagnosis and laboratory tests. It proved Mediktor to be a reliable tool to help diagnose the most prevalent diseases in the A&E.

Hospital Universitario San Ignacio

Bogotá, Colombia. 2019

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Validation of a neurological triage tool in the general population based on the use of artificial intelligence algorithms

A trial to evaluate the effectiveness of Mediktor in detecting early symptoms of ictus in the Neurology Department. It demonstrates the software's efficiency in specialised neurological triage.

Hospital Vall d'Hebrón

Barcelona, Spain. 2021. In progress.

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
Mediktor’s AI Integration at Parc Taulí Sets a Milestone in Spain’s Public Health History
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Mediktor Is a Class I medical device

Our AI medical chatbot is highly successful in assisting patients at the onset of symptoms, earning itself a Class I medical device certification.
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