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

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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).

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633-638

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April 2013

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[1] Anon, Pew Internet & American Life Project. Available at: (2011) http: /pewinternet. org.

Google Scholar

[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.

Google Scholar

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

DOI: 10.1038/scientificamerican0501-34

Google Scholar

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

Google Scholar

[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).

Google Scholar

[6] Dumontier, M., & Hoehndorf, R., Realism for Scientific Ontologies. In 6th International Conference on Formal Ontology in Information Systems, Toronto, Canada (2010), p.12.

Google Scholar

[7] Dumontier, M., & Villanueva-Rosales, N., Towards pharmacogenomics knowledge discovery with the semantic web. Briefings in Bioinformatics, 10(2), (2009) 153-163.

DOI: 10.1093/bib/bbn056

Google Scholar

[8] Dumontier Michel, Building an effective Semantic Web for health care and the life sciences. Semantic Web 1(1-2): (2010) 131-135., IOS Press.

DOI: 10.3233/sw-2010-0018

Google Scholar

[9] Eysenbach G, Powell J, Englesakis M, Rizo C, Stern A., Health related virtual communities and electronic support groups: systematic review of the effects of online peer to peer interactions. BMJ. 2004; 328(May): (2004) 1-6.

DOI: 10.1136/bmj.328.7449.1166

Google Scholar

[10] Eysenbach G., Medicine 2. 0: Social Networking, Collaboration, Participation, Apomediation, and Openness. J Med Internet Res. 2008; 10(3): e22. (2008) http: /www. jmir. org/2008/3/e22.

DOI: 10.2196/jmir.1030

Google Scholar

[11] Giustini, D., How Web 2. 0 is changing medicine: Editorial. British Medical Journal, 333: (2006)1283-1284.

Google Scholar

[12] Hughes B, Joshi I, Wareham J., Health 2. 0 and Medicine 2. 0: Tensions and Controversies in the Field, Journal of Medical Internet Research, 10(3): e23 (2008).

DOI: 10.2196/jmir.1056

Google Scholar

[13] Joseph F. Coughlin, Health 3. 0: Baby Boomers, Social Media & the Evolution of Digital Healing, (April, 2010) http: /bigthink. com/ideas/38246?page=all.

Google Scholar

[14] Marlene Beggelman, Virtual Reasoning Redefining Healthcare Through Health 3. 0, WHITE PAPER, Enhanced Medical Decisions Inc., (2008) http: /www. enhancedmd. com/EMD_VirtualReasonWP. pdf.

Google Scholar

[15] Miller Eric, Semantic Web in Health-care and Life Sciences - Applications and Demonstrations, The W3C Workshop on Semantic Web for Life Sciences, w3. org (2004).

Google Scholar

[16] Nash, David B., Health 3. 0". P&T 33 (2): 69–75. PMC 2730068. PMID 19749994. (2008) http: /www. pubmedcentral. nih. gov/articlerender. fcgi, tool=pmcentrez&artid=2730068.

Google Scholar

[17] PRWEB, SemTech 2010 Speaks Out About Health 3. 0 - Open Healthcare Information Architecture, (May, 2010) http: /www. prweb. com/releases/2010/05/prweb3957314. htm.

Google Scholar

[18] Ruttenberg, A., Clark, T., Bug, W., Samwald, M., Bodenreider, O., Chen, H., et al. Advancing translational re-search with the Semantic Web. BMC bioinformatics, 8 Supply 3, S2 (2007).

DOI: 10.1186/1471-2105-8-s3-s2

Google Scholar

[19] Shachak, A. & Jadad, A.R., Electronic Health Records in the Age of Social Networks and Global Telecommunications. Journal of American Medical Association, 303(5): (2010)452-453.

DOI: 10.1001/jama.2010.63

Google Scholar

[20] Shaw Tony, Healthy knowledge: semantic technology & the healthcare revolution, (2010) http: /www. econtentmag. com/Articles/ArticleReader. aspx?ArticleID=69404.

Google Scholar

[21] Shaw Tony, Semantic Technology and the Health Care Revolution, 2010 Quality Digest Magazine (2010).

Google Scholar

[22] Steve Brown, Healthcare Needs a New Information Model: Semantic Web and the Challenges in Healthcare Information Technology (2009).

Google Scholar

[23] The Economist, Health 2. 0: Technology and society: Is the outbreak of cancer videos, bulimia blogs and other forms of user generated" medical information a healthy trend, The Economist, September 6: (2007) 73-74.

Google Scholar

[24] W3C, XML and Semantic Web W3C Standards Timeline,. (Feb. 2012). http: /www. dblab. ntua. gr/~bikakis/XML%20and%20Semantic%20Web%20W3C%20Standards%20Timeline-History. pdf.

Google Scholar