Authors:
Pedro Vieira-Marques
1
;
Arthur Cunha
2
;
Luís Antunes
2
;
Ricardo Cruz-Correia
3
and
Altamiro Costa-Pereira
3
Affiliations:
1
Faculty of Medicine, University of Porto; CINTESIS, Faculty of Medicine, University of Porto, Portugal
;
2
LIACC, Faculty of Science, University of Porto, Portugal
;
3
Faculty of Medicine University of Porto; CINTESIS, Faculty of Medicine, University of Porto, Portugal
Keyword(s):
Electronic Health Records; Agents and Cooperative Systems; Integration and Interoperability.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Cloud Computing
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
e-Business
;
e-Health
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Platforms and Applications
;
Semantic Interoperability
;
Sensor Networks
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
Abstract:
Patients visit multiple health institutions and leave a trail of information scattered around hospitals, healthcare centres and laboratories. Information availability is of major importance in healthcare delivery. Most of the Electronic Patient Record systems are unarticulated and usually address only the specificities of a single medical specialty. Virtual Electronic Patient Records such as MAID (Multi Agent system for the Integration of Data) system provide for the necessary means for intra-institutions departmental information integration. In this paper is presented a mobile agent based extension to the agent based MAID system in order to enable inter-institution patient data integration. This system was designed as a MAID extension with additional patient data integration features. In order to accomplish this, modules for external data discovery and collection where developed using mobile agents. Data collection activities are trigged by scheduled clinical events. The system is i
ntended to enhance an existing institutional system taking it beyond the institutional barrier providing health professionals with a more complete patient clinical history. -
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