Fujitsu HIKARI, a Healthcare Decision Support System based on Biomedical Knowledge

Author:

Villazon-Terrazas Boris1,Garcia-Santa Nuria1,San Miguel Beatriz1,del Rey-Mejías Angel2,Muria Juan Carlos3,Seara Germán4,Reneses Blanca5,de la Torre Victor1

Affiliation:

1. Fujitsu Laboratories of Europe, Madrid, Spain

2. Innovation Unit, Instituto de Investigación Sanitaria, Hospital Clínico San Carlos, UCM, Madrid, Spain

3. Fujitsu Technologies Solutions, Valencia, Spain

4. Unidad de Innovación, Hospital Clínico San Carlos, Madrid, Spain

5. Instituto de Psiquiatría. Instituto de Investigación Sanitaria. Hospital Clínico San Carlos, Madrid, Spain

Abstract

Fujitsu HIKARI is an artificial intelligence solution to assist clinicians in medical decision making, developed in the context of a joint collaboration project between Fujitsu Laboratories of Europe and Hospital Clínico San Carlos. This decision support system leverages on data analytics combined with healthcare semantic information to provide health estimations for patients, improving care quality and personalized treatment. Fujitsu HIKARI stands on the shoulders of biomedical knowledge, which includes (i) theoretical knowledge extracted from scientific literature, domain expert knowledge, and health standards; and (ii) empirical knowledge extracted from real patient electronic health records. The theoretical knowledge combines a theoretical knowledge graph (TKG) and a biomedical document repository (BDR). The empirical knowledge is encoded in an empirical knowledge graph (EKG). One of the main functionalities of Fujitsu HIKARI is the patient mental health risks assessment, which is based on the exploitation of its underlying Biomedical Knowledge.

Publisher

IGI Global

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