Knowledge Management and Semantic Technology in the Health Care Revolution: Health 3.0 Model

Author:

Chen Te Fu1,Ko Chieh Heng2,Cheng Fei Chun3

Affiliation:

1. Lunghwa University of Science and Technology

2. Chung Hua University

3. Yuanpei University

Abstract

Currently, the exploration, improvement, and application of knowledge management and semantic technologies to health care are in a revolution from Health 2.0 to Health 3.0. However, what accurately are knowledge management and semantic technologies and how can they improve a healthcare system? The study aims to review what constitute a Health 3.0 system, and identify key factors in the health care system. First, the study analyzes semantic web, definition of Health 2.0 and Health 3.0, new models for linked data: (1) semantic web and linked data graphs (2) semantic web and healthcare information challenges, OWL and linked knowledge, from linked data to linked knowledge, consistent knowledge representation, and Health 3.0 system. Secondly, the research analyzes two case studies of Health 3.0, and summarizes six key factors that constitute a Health 3.0 system. Finally, the study recommends the application of knowledge management and semantic technologies to Health 3.0 health care model requires the cooperation among emergency care, insurance companies, hospitals, pharmacies, government, specialists, academic researchers, and customer (patients).

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference24 articles.

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2. Anon, What is Web 3. 0? Semantic Web & other Web 3. 0 Concepts Explained in Plain English. (2011) http: /www. labnol. org/internet/web-3-concepts-explained/8908.

3. Berners-Lee, Tim; James Hendler and Ora Lassila. The Semantic Web,. Scientific American Magazine. 284, (May 17, 2001)34-43.

4. Crespo, R., Virtual Community Health Promotion. Preventing Chronic Disease, 4(3): (2007)75.

5. Dirk Colaert MD, Advanced Clinical Application Manager, Agfa HealthCare Desirable Features of Rule Based Systems for Medical Knowledge, Position paper for W3C workshop Rule languages for Interoperability (2005).

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