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):
Clinical laboratory validation, patient-centred, patient-focused, agents, computer-interpretable-guideline (CIG), guidelines and protocols. Software Agents representing medical guidelines.
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:
Guidelines are self-contained documents which healthcare professionals reference to obtain specific disease or medical condition knowledge for a particular population cohort. They view these documents and apply known facts about their patients to access useful supportive information to aid in developing a diagnosis or manage a condition. Traditional CIG models decompose these guidelines into workflow plans, which are then called using certain motivational trigger conditions controlled by a centralised management engine. Therefore, CIG guidelines are not self-contained documents, which specialise in a particular condition or disease, but are effectively a list of workflow plans, which are called and used when the patient information is available. The software BDI agent offers an alternative approach which more closely matches the modus operandi of narrative based medical guidelines. An agent’s beliefs capture information attributes, plans capture the deliberative and action attributes
, and desire captures the motivational attributes of the guideline in a self-contained autonomous software module. This synergy between the narrative guideline and the BDI agent offers an improved solution for computerising medical guidelines when compared to the CIG approach.
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