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
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San Carlos Hospital

Accurate assessment of risks for individual patients

Customer

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.

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.

Outcomes

  • 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

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