Authors:
John McGrory
1
;
Frank Clarke
1
;
Jane Grimson
2
and
Peter Gaffney
3
Affiliations:
1
Dublin Institute of Technology, Ireland
;
2
School of Computing, Trinity College Dublin, Ireland
;
3
Adelaide & Meath Hospital, Incorporating the National Children's Hospital (AMNCH), Ireland
Keyword(s):
HL7, OpenEHR, CEN-ENV13606, agents, computer, guidelines and protocols.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Cardiovascular Technologies
;
Cloud Computing
;
Computing and Telecommunications in Cardiology
;
Decision Support Systems
;
e-Health
;
Expert Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Hospital Management Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Medical and Nursing Informatics
;
Online Medical Applications
;
Platforms and Applications
;
Symbolic Systems
Abstract:
Agents are self-contained software entities which act faithfully and autonomously on behalf of a body of knowledge. They can operate in a standalone capacity, or as part of a social group collaborating and coordinating activities with other software agents. To access their knowledge, agents are interfaced with using message passing communication. The principle behind medical communications is to provide a means for exchanging information and knowledge from one computerised location to another, whilst preserving its true meaning and understanding between the listener and sender. Agent communication is similar to medical communications, but must provide an additional framework element to allow agents to interact at a social and operational level. Social aspects relate to agents collaborating on shared objectives, and operational aspects relate to coordination of tasks between the loosely coupled agents working as part of a group. Medical communications focus on data exchanges specific
to the medical domain, while agent communication was designed for a much broader audience. Therefore, it is essential to verify if agent communications can support standard medical data exchanges. This paper investigates current forms of agent based communications and demonstrates they can support medical communication, yet retain their social and interaction information exchange functionality.
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