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The HIKARI Artificial Intelligence solution establishes predictive analysis models at the San Carlos Clinical Hospital Madrid

"Taking advantage of the possibilities offered by Artificial Intelligence is essential for public health to stop managing the disease and move towards generating health."

Germán Seara Aguilar, MD, PhD Innovation Unit The Institute of Sanitary Research of the San Carlos Clinical Hospital Madrid

The inductive use of data and not just the traditional deductive use is moving medicine towards a personalized and population model

At a glance

The San Carlos Clinical Hospital (HCSC) has sought to improve care, teaching and research since it was founded in 1787. During over two centuries of history, the hospital has changed and adapted to meet the demands of the residents of Madrid and the high standard of its facilities and staff have made it a national and international leader. The HCSC Innovation Unit of The Institute of Sanitary Research of the San Carlos Clinical Hospital (IdISSC) is responsible for promoting, supporting and disseminating healthcare innovation and supporting the process of transforming ideas into products and services that represent value for patients, staff and the system as a whole.

Challenge

The incorporation of many different types of data is revolutionizing the healthcare sector. The ability to apply semantic and analytic technologies to this heterogeneous mass of data, as well as traditional healthcare data, to discover hidden correlations, identify care patterns and support clinical decision-making is paving the way for a new generation of improved healthcare services.

Solution

Fujitsu has developed HIKARI, a healthcare API to improve clinical decision-making and the accurate assessment of risks for individual patients.

Benefit

  • The solution has halved the time for the preliminary assessment of patient records, increasing the time available for consultations
  • HIKARI identifies care patterns, establishes demographic profiles, provides exploratory analysis of datasets and delivers information via a rich and interactive visual environment
  • Faster and improved clinical decision-making with highly accurate risk assessment