Fujitsu HIKARI, a Healthcare Decision Support System based on Biomedical Knowledge
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.
Year of publication: |
2018
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Authors: | Villazon-Terrazas, Boris ; Garcia-Santa, Nuria ; San Miguel, Beatriz ; del Rey-Mejías, Angel ; Muria, Juan Carlos ; Seara, Germán ; Reneses, Blanca ; de la Torre, Victor |
Published in: |
International Journal of Privacy and Health Information Management (IJPHIM). - IGI Global, ISSN 2155-563X, ZDB-ID 2715733-7. - Vol. 6.2018, 2 (01.07.), p. 26-49
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Publisher: |
IGI Global |
Subject: | Decision Support System | Healthcare | Knowledge Graph | Knowledge Representation | Medical Assistant | Ontology Integration | Personalized Medicine |
Saved in:
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