Bio-medical Ontologies Maintenance and Change Management

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Design of an Online Physician-Mediated Personal Health Record System 279 making individual’s integrated PHRs available online, at the individual’s control, could bring revolutionary changes to the way we view and use our health information in the future. References 1. Bates, D.W., et al.: A Proposal for Electronic Medical Records in US Primary Care. Journal of the American Medical Informatics Association 10(1), 1 (2003) 2. Hillestad, R., et al.: Can Electronic Medical Record Systems Transform Health Care? Potential Health Benefits, Savings, And Costs. Health Affairs 24(5), 1103–1117 (2005) 3. McDonald, C.J.: The Barriers to Electronic Medical Record Systems and How to Overcome Them. Journal of the American Medical Informatics Association 4(3), 213 (1997) 4. Barrows, R.C., Clayton, P.D.: Privacy, confidentiality, and electronic medical records. Journal of the American Medical Informatics Association 3(2), 139–148 (1996) 5. Mandl, K.D., Szolovits, P., Kohane, I.S.: Public standards and patients’ control: how to keep electronic medical records accessible but private. British Medical Journal 322(7281), 283–287 (2001) 6. Riva, A., et al.: The personal internetworked notary and guardian. Int. J. Med. Inform. 62(1), 27–40 (2001) 7. Kim, M.I., Johnson, K.B.: Personal Health Records: Evaluation of Functionality and Utility. Journal of the American Medical Informatics Association 9(2), 171 (2002) 8. Bodenreider, O.: The Unified Medical Language System (UMLS): integrating biomedical terminology. Nucleic Acids Res. 32(Database issue), D267–D270 (2004)
Completing the Total Wellbeing Puzzle Using a Multi-agent System Maja Hadzic 1 , Meifania Chen 1 , and Rick Brouwer 2 1 Curtin University of Technology, Digital Ecosystems and Business Intelligence Institute (DEBII) GPO Box U1987 Perth, Western Australia 6845, Australia 2 Total Wellbeing Medical and Counseling Centre Suite 1 / 857 Doncaster Rd Doncaster East 3109 Victoria, Australia {m.hadzic,m.chen}@curtin.edu.au, rickb@totalwellbeing.com.au Abstract. Our research focus is the implementation of agent-based systems within the health domain, more specifically, in the study of total wellbeing. We use an evidence-based total wellbeing ontological model where the total wellbeing is seen as a function of physical health, mental health, emotions, relationships, financial situation and spirituality. We use the TICSA methodology to design a multi-agent system. This multi-agent system is based on the Total Wellbeing Ontology and helps intelligent retrieval, management and analysis of information related to total wellbeing. We hope this system to expose evidence that will support general public in managing their personal wellbeing better, and health professionals in adapting their services to address patients’ needs more systematically and effectively. Keywords: Total Wellbeing, Ontology-based Multi-agent System, Multi-agent System Design, e-Health, Health Information System. 1 Introduction The main features of agents are their autonomous, goal-driven, intelligent, proactive, cooperative, collaborative and mobile capabilities. Agents have the ability to act independently from both the user and the rest of the system. They are usually driven by a specific goal which benefits the whole system. Agents are equipped with intelligence that enables them to reason and perform the beneficial actions. Agents are proactive, namely, are able to make decisions and take action on their own initiative. Even though the agent is able to act autonomously, it has to be sociable; it needs to cooperate and collaborate with other agents of the system. The performance of multi-agent systems is based on collaborative effort of various agent types. The different agents work cooperatively towards a shared goal. Multi-agent systems are designed to reach their full potential through cooperation, coordination of their actions, tasks and results sharing. The collaborative nature of agents enables A.S. Sidhu et al. (Eds.): Biomedical Data and Applications, SCI 224, pp. 281–293. springerlink.com © Springer-Verlag Berlin Heidelberg 2009
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Preface The molecular biology commu
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Preface VII biomedical systems, and
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X Contents Mining Clinical, Immunol
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Towards Bioinformatics Resourceomes
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2 The New Waves Towards Bioinformat
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Author Index Apiletti, Daniele 169
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Bio-medical Ontologies Maintenance and Change Management

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