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Clinical Guidelines (CGs) contain a set of directions or principles to assist the health care practitioner with patient care decisions about appropriate diagnostic, therapeutic, or other clinical procedures for specific clinical circumstances. Guideline-based systems can constitute part of a knowledge-based decision support system in order to deliver the right knowledge to the right people in the right form at the right time . The automation of the guideline execution process is a basic step towards its widespread use in medical centres. This work focuses on the execution of CGs and proposes…mehr

Produktbeschreibung
Clinical Guidelines (CGs) contain a set of directions
or principles to assist the health care practitioner
with patient care decisions about appropriate
diagnostic, therapeutic, or other clinical procedures
for specific clinical circumstances. Guideline-based
systems can constitute part of a knowledge-based
decision support system in order to deliver the right knowledge to the right people in the right
form at the right time . The automation of the
guideline execution process is a basic step towards
its widespread use in medical centres.
This work focuses on the execution of CGs and
proposes the implementation of an agent-based
platform in which the actors involved in health care
coordinate their activities to perform the complex
task of guideline enactment.
The management of medical and organizational
knowledge and the formal representation of the CGs,
are two knowledge-related topics addressed in this
work and tackled through the design of several
application ontologies.
In parallel with the execution of CGs, the system
handles citizen's preferences and uses them to
implement patient-centred services.
Autorenporträt
David Isern Alarcón received his PhD in Computer Science from the
Technical University of Catalonia. He is member of the
Intelligent Technologies for Advanced Knowledge Acquisition
Research Group at the University Rovira i Virgili (Catalonia,
Spain). His research interests include Intelligent Agents,
Knowledge Management and the Semantic Web.