Title :
KON^3: A Clinical Decision Support System, in Oncology Environment, Based on Knowledge Management
Author :
Ceccarelli, Michele ; Donatiello, Antonio ; Vitale, Dante
Author_Institution :
Res. Centre on Software Technol., Univ. of Sannio, Benevento
Abstract :
The application of scientific methodology to clinical practice is typically realized through recommendations, policies and protocols represented as Clinical Practice Guidelines (CPG). CPG help the clinician in his choices, improving the patient care process.The representation of Guidelines and their introduction in medical information system can lead to efficient Clinical Decision Support Systems (CDSS), however this poses several interesting challenges as problems of knowledge representation, inference, workflow definition, access to unstructured data, etc. In this paper we analyze approaches and methods in computer-based CPG realization and illustrate the choices made (tools, architecture and clinical domain) to realize the KON3 system to achieve a CDSS and semantic information representation, in oncology environment
Keywords :
decision support systems; knowledge representation; medical information systems; KON3; clinical decision support system; computer-based CPG realization; guidelines representation; knowledge management; medical information system; oncology; patient care process; semantic information representation; workflow definition; Computer architecture; Decision support systems; Guidelines; Information analysis; Information representation; Knowledge management; Knowledge representation; Medical information systems; Oncology; Protocols; Clinical Decision Support System; Health Electronic Record; Java Expert System Shell; OWL; Ontology; Protégé; Semantic Web Rule Language;
Conference_Titel :
Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on
Conference_Location :
Dayton, OH
Print_ISBN :
978-0-7695-3440-4
DOI :
10.1109/ICTAI.2008.46