An Architecture for Message Exchange in Pervasive Healthcare based on the use of Intelligent Agents
Keywords:
Pervasive Healthcare, Intelligent Agents, Ubiquitous Computing, openEHR, Archetypes, BDI architectureAbstract
Aims: This paper proposes an architecture for the exchange of context-aware messages in Pervasive Healthcare environments. Materials and methods: In Pervasive Healthcare, novel information and communication technologies are applied to support the provision of health services anywhere, at anytime, and to anyone. Ubiquitous Computing technologies allow efficient and safe information exchange amongst caregivers and their patients in communities, homes and hospitals. Since health systems may offer their health records in various electronic formats, the openEHR foundation has proposed a dual model to achieve semantic interoperability between such systems. Intelligent Agents is a technology that has been applied to simulate human skills in healthcare procedures. This architecture is based on technologies from Ubiquitous Computing and Intelligent Agents, and complies with the openEHR dual model. Results: This architecture was demonstrated and evaluated in a controlled experiment that we conducted in the cardiology department of a hospital located in the city of Marília (São Paulo, Brazil). Conclusion: An application was developed to evaluate this architecture, and the results showed that the architecture is suitable for facilitating the development of healthcare systems by offering generic resources and powerful solution to integrate these systems.
References
Jiang S, Xue Y, Giani A, Bajcsy R. Robust Medical Data Delivery for Wireless Pervasive Healthcare. Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing, Proceedings. 2009:802-7. doi: 10.1109/dasc.2009.87. PubMed PMID: WOS:000277026000138.
Skinner B, Rovere M. Paying More, Getting Less: Measuring the Sustainability of Government Health Spending in Canada Fraser Institute, 2009.
Hansmann U, Nicklous MS, Stober T. Pervasive Computing Handbook: Springer-Verlag New York, Inc.; 2001. 409 p.
Weiser M. Some Computer Science Issues in Ubiquitous Computing. Commun ACM. 1993;36(7):75-84. doi: 10.1145/159544.159617.
Browne E. openEHR Archetypes for HL7 CDA Documents. Ocean Informatics, 2008 Contract No.: 07 Dec 2012.
Munoz MA, Rodriguez M, Favela J, Martinez-Garcia AI, Gonzalez VM. Context-aware Mobile Communication in Hospitals. Computer. 2003;36(9):38-46. doi: 10.1109/mc.2003.1231193. PubMed PMID: WOS:000185029100011.
Lahteenmaki J, Leppanen J, Kaijanranta H. Interoperability of Personal Health Records. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2009:1726-9. PubMed PMID: MEDLINE:19964259.
Baffo I, Stecca G, Kaihara T, editors. A Multi Agent System Approach for Hospital’s Drugs Management using Combinatorial Auctions. Industrial Informatics (INDIN), 8th IEEE International Conference on; 2010 16 July; Osaka.
Kashfi H. An openEHR-based Clinical Decision Support System: a Case Study. Studies in Health Technology and Informatics. 2009;150:348-59. PubMed PMID: MEDLINE:19745328.
Beale T, Heard S. Archetype Definition Language. openEHR Foundation, 2007.
Jennings NR. Agent-oriented Software Engineering. Multiple Approaches to Intelligent Systems, Proceedings. 1999;1611:4-10. PubMed PMID: WOS:000086482000002.
Labrou Y, Finin T, Peng Y. Agent Communication Languages: The Current Landscape. IEEE Intelligent Systems & Their Applications. 1999;14(2):45-52. doi: 10.1109/5254.757631. PubMed PMID: WOS:000079551100017.
Rao AS, Georgeff MP. Modeling Rational Agents Within a BDI Architecture. Principles of Knowledge Representation and Reasoning: Proceedings of the Second International Conference. 1991:473-84. PubMed PMID: WOS:A1991BU67L00046.
Pokahr A, Braubach L, Lamersdorf W. A Gaol Deliberation Strategy for BDI Agent Systems. Multiagent System Technologies, Proceedings. 2005;3550:82-93. PubMed PMID: WOS:000233232000008.
Leff A, Rayfield JT. Web-application Development using the Model-View-Controller Design Pattern. Fifth IEEE International Enterprise Distributed Object Computing Conference, Proceedings. 2001:118-27. PubMed PMID: WOS:000172166200011.
Davis FD. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q. 1989;13(3):319-40. doi: 10.2307/249008.
Chau PYK, Hu PJH. Investigating Healthcare Professionals’ Decisions to Accept Telemedicine Technology: an Empirical Test of Competing Theories. Information & Management. 2002;39(4):297-311. doi: 10.1016/s0378-7206(01)00098-2. PubMed PMID: WOS:000173105000005.
Likert R. A Technique for the Measurement of Attitudes. New York: [s.n.]; 1932. 55 p.
Henseler J, Chin WW. A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling. Structural Equation Modeling-a Multidisciplinary Journal. 2010;17(1):82-109. doi: 10.1080/10705510903439003. PubMed PMID: WOS:000273611500005.