A novel architecture for message exchange in Pervasive Healthcare based on the use of Intelligent Agents

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. In this paper, we propose an architecture for the exchange of context-aware messages in Pervasive Healthcare environments. This architecture is based on technologies from Ubiquitous Computing and Intelligent Agents, and complies with the openEHR dual model.

[1]  Marcela D. Rodríguez,et al.  Context-Aware Mobile Communication in Hospitals , 2003, Computer.

[2]  R. Likert.  “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.

[3]  Paul Jen-Hwa Hu,et al.  Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories , 2002, Inf. Manag..

[4]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[5]  Jaakko Lahteenmaki,et al.  Interoperability of personal health records , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Onn Shehory,et al.  Agent-Oriented Software Engineering , 2014, Springer Berlin Heidelberg.

[7]  Anand S. Rao,et al.  Modeling Rational Agents within a BDI-Architecture , 1997, KR.

[8]  Mark Weiser,et al.  Some computer science issues in ubiquitous computing , 1993, CACM.

[9]  Uwe Hansmann,et al.  Pervasive Computing Handbook , 2001, Springer Berlin Heidelberg.

[10]  Ruzena Bajcsy,et al.  Robust Medical Data Delivery for Wireless Pervasive Healthcare , 2009, 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing.

[11]  Wynne W. Chin,et al.  A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling , 2010 .

[12]  Toshiya Kaihara,et al.  A multi agent system approach for hospital's drugs management using combinatorial auctions , 2010, 2010 8th IEEE International Conference on Industrial Informatics.

[13]  Hajar Kashfi.  An openEHR-Based Clinical Decision Support System: A Case Study , 2009, MIE.

[14]  Yun Peng,et al.  Agent communication languages: the current landscape , 1999, IEEE Intell. Syst..

[15]  Erik Sandewall,et al.  Principles of knowledge representation and reasoning: proceedings of the second International Conference (KR91) , 1991 .

[16]  Avraham Leff,et al.  Web-application development using the Model/View/Controller design pattern , 2001, Proceedings Fifth IEEE International Enterprise Distributed Object Computing Conference.

[17]  Rafael E. Riveros,et al.  Studies in Health Technology and Informatics , 2005 .

[18]  Winfried Lamersdorf,et al.  A Goal Deliberation Strategy for BDI Agent Systems , 2005, MATES.