Author:
Plavčak Aleš
Affiliation:
MIPS programska oprema d.o.o., Slovenia
Keyword(s):
Decision-support systems, medical informatics, clinical practice guidelines, knowledge modelling.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Decision Support Systems
;
Expert Systems
;
Health Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
According to quick growth of information and complexity of medicine, the development of informatics in medicine is in full bloom. Medical decision support systems have been developed to help choose the appropriate medical treatment procedures, ensure the quality of health care and enable the control of resources. Clinical Practical Guidelines have greatly contributed to the accelerated development. Many different modelling methods and tools have been developed for executing guidelines. Here, the three of many applicable guideline modelling techniques are represented in greater scope. Also, a new technique of representing the clinical knowledge has been designed, taken from the studies of already existing models. The implementation of the application for editing, browsing and executing clinical guidelines has been implemented as well. The application is capable of generating recommendations for a specific clinical state and evaluation of the already existing health care process. This
paper covers the general presentation of informatics in medicine and the techniques for modelling of medical knowledge which nowadays represents a gateway for prosperous development, and paves the way for broader use and implementation.
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