e-HEALTH

Artificial intelligence, machine learning and predictive analytics applied to healthcare enable progress towards more personalized care, anticipate risks and optimize clinical outcomes.

We develop AI solutions that improve the follow-up of chronic patients, optimize clinical management and reduce complexities, raising the quality of care and improving the patient experience.

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How we generate value

Expected results

Segmentation by risk factors

We identify and categorize patients according to their clinical data and characteristics, anticipating risks and facilitating personalized interventions.

Advanced chronic disease management

We improve the care and follow-up of chronic patients, reducing complications, optimizing services and improving the patient's quality of life.

Optimization of healthcare resources

We maximize efficiency in the use of clinical and operational resources, supporting strategic decisions and raising the quality of care.

Accurate and agile diagnosis

Personalized supervision

Predictive prevention

Real-time agile decisions

This project has been subsidized by the CDTI (Centro para el Desarrollo Tecnológico y la Innovación), within the framework of grants for R&D&I projects, with the aim of promoting the development of technological solutions applied to the field of health.

Ministerio de Ciencia, Innovación y Universidades

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