The Next Generation of Interoperability Agents in Healthcare

Interoperability in health information systems is increasingly a requirement rather than an option. Standards and technologies, such as multi-agent systems, have proven to be powerful tools in interoperability issues. In the last few years, the authors have worked on developing the Agency for Integration, Diffusion and Archive of Medical Information (AIDA), which is an intelligent, agent-based platform to ensure interoperability in healthcare units. It is increasingly important to ensure the high availability and reliability of systems. The functions provided by the systems that treat interoperability cannot fail. This paper shows the importance of monitoring and controlling intelligent agents as a tool to anticipate problems in health information systems. The interaction between humans and agents through an interface that allows the user to create new agents easily and to monitor their activities in real time is also an important feature, as health systems evolve by adopting more features and solving new problems. A module was installed in Centro Hospitalar do Porto, increasing the functionality and the overall usability of AIDA.

[1]  David Sánchez,et al.  Agents applied in health care: A review , 2010, Int. J. Medical Informatics.

[2]  Giordano Lanzola,et al.  A framework for building cooperative software agents in medical applications , 1999, Artif. Intell. Medicine.

[3]  FOUNDATION FOR INTELLIGENT PHYSICAL AGENTS FIPA Policies and Domains Specification , 1997 .

[4]  Marco Eichelberg,et al.  A survey and analysis of Electronic Healthcare Record standards , 2005, CSUR.

[5]  Liam Peyton,et al.  eHealth system interoperability , 2012, Inf. Syst. Frontiers.

[6]  Filipe Portela,et al.  Improving High Availability and Reliability of Health Interoperability Systems , 2014, WorldCIST.

[7]  Andreas Tolk,et al.  Applying the Levels of Conceptual Interoperability Model in Support of Integratability, Interoperabi , 2007 .

[8]  Mieczyslaw M. Kokar,et al.  Agent Communication Language , 2013 .

[9]  Chuan-Jun Su,et al.  IAServ: An Intelligent Home Care Web Services Platform in a Cloud for Aging-in-Place , 2013, International journal of environmental research and public health.

[10]  Juha Mykkänen,et al.  An evaluation and selection framework for interoperability standards , 2008, Inf. Softw. Technol..

[11]  Gregory R. Madey,et al.  Tools of the Trade: A Survey of Various Agent Based Modeling Platforms , 2009, J. Artif. Soc. Soc. Simul..

[12]  Andre Zuquete,et al.  A general interoperability architecture for e-government based on agents and Web Services , 2011, 6th Iberian Conference on Information Systems and Technologies (CISTI 2011).

[13]  Filipe Portela,et al.  Electronic Health Record in Dermatology Service , 2011, CENTERIS.

[14]  Giovanni Acampora,et al.  Collaborative memetic agents for enabling semantic interoperability , 2013, 2013 IEEE Symposium on Intelligent Agents (IA).

[15]  Stuart Speedie,et al.  Service and model-driven dynamic integration of health data , 2011, MIXHS '11.

[16]  Julie A. Adams,et al.  Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence , 2001, AI Mag..

[17]  W. Müller,et al.  Living longer independently – a healthcare interoperability perspective , 2010, Elektrotech. Informationstechnik.

[18]  Pete Johnston,et al.  Interoperability levels for Dublin Core metadata , 2009 .

[19]  Matjaz Gams,et al.  A Multi-Agent Care System to Support Independent Living , 2014, Int. J. Artif. Intell. Tools.

[20]  Miguel Contreras,et al.  Design and implementation of a FIPA compliant agent platform in .NET , 2004, J. Object Technol..

[21]  Steven L. Lytinen,et al.  Agent-based Simulation Platforms: Review and Development Recommendations , 2006, Simul..

[22]  Haeng-Kon Kim Convergence agent model for developing u-healthcare systems , 2014, Future Gener. Comput. Syst..

[23]  José Neves,et al.  Quality of service in healthcare units , 2010, Int. J. Comput. Aided Eng. Technol..

[24]  John F Fraser,et al.  The effect of implementing a modified early warning scoring (MEWS) system on the adequacy of vital sign documentation. , 2013, Australian critical care : official journal of the Confederation of Australian Critical Care Nurses.

[25]  Manuel Filipe Santos,et al.  Intelligence in Interoperability with AIDA , 2012, ISMIS.

[26]  Luís Ferreira Pires,et al.  A novel architecture for message exchange in Pervasive Healthcare based on the use of Intelligent Agents , 2013, 2013 ACS International Conference on Computer Systems and Applications (AICCSA).

[27]  Charles N Mead,et al.  Data interchange standards in healthcare IT--computable semantic interoperability: now possible but still difficult, do we really need a better mousetrap? , 2006, Journal of healthcare information management : JHIM.

[28]  W. Michalowski,et al.  A Multiagent System to Support an Interdisciplinary Healthcare Team : a Case Study of Clinical Obesity Management in Children , 2013 .

[29]  José Neves,et al.  Healthcare Interoperability through a JADE Based Multi-Agent Platform , 2012, IDC.

[30]  David Sánchez,et al.  Ontology-driven execution of clinical guidelines , 2012, Comput. Methods Programs Biomed..

[31]  P. Silva,et al.  Hospital database workload and fault forecasting , 2012, 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences.

[32]  B. Orgun,et al.  HL7 ontology and mobile agents for interoperability in heterogeneous medical information systems , 2006, Comput. Biol. Medicine.

[33]  Aldo Franco Dragoni,et al.  A Multi-Agent Architecture for Health Information Systems , 2013, KES-AMSTA.

[34]  Samir Chatterjee,et al.  A Design Science Research Methodology for Information Systems Research , 2008 .

[35]  Chuan-Jun Su,et al.  JADE implemented mobile multi-agent based, distributed information platform for pervasive health care monitoring , 2011, Appl. Soft Comput..

[36]  Filipe Portela,et al.  A pervasive intelligent system for scoring MEWS and TISS-28 in intensive care , 2014 .

[37]  Michael Luck,et al.  An Agent-Based Approach to Real-Time Patient Identification for Clinical Trials , 2011, eHealth.