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Fujitsu HIKARI, a Healthcare Decision Support System based on Biomedical Knowledge
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Author(s): Boris Villazon-Terrazas (Fujitsu Laboratories of Europe, Madrid, Spain), Nuria Garcia-Santa (Fujitsu Laboratories of Europe, Madrid, Spain), Beatriz San Miguel (Fujitsu Laboratories of Europe, Madrid, Spain), Angel del Rey-Mejías (Innovation Unit, Instituto de Investigación Sanitaria, Hospital Clínico San Carlos, UCM, Madrid, Spain), Juan Carlos Muria (Fujitsu Technologies Solutions, Valencia, Spain), Germán Seara (Unidad de Innovación, Hospital Clínico San Carlos, Madrid, Spain), Blanca Reneses (Instituto de Psiquiatría. Instituto de Investigación Sanitaria. Hospital Clínico San Carlos, Madrid, Spain)and Victor de la Torre (Fujitsu Laboratories of Europe, Madrid, Spain)
Copyright: 2021
Pages: 26
Source title:
Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-9023-2.ch028
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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.
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