Title :
Intelligent Clinical Notes System: An information retrieval and information extraction system for Clinical Notes
Author :
Patrick, Jon ; Li, Min
Author_Institution :
Sch. of IT, Univ. of Sydney, Sydney, NSW, Australia
Abstract :
Information retrieval and information extraction are significant issues in the medical and health care domains where the accuracy of the retrieved information and obtaining it in a time critical situation are extremely important. In this paper, we propose a novel system, intelligent clinical notes system (ICNS) to help doctors extract needed information from clinical notes, which were written as free text. Both the software engineering technology, natural language processing aspects are described about this system. This system was developed for a real real-time environment and integrated into the existing clinical information system in use at the bedside in and intensive care unit.
Keywords :
health care; information retrieval systems; medical information systems; natural language processing; software engineering; clinical information system; health care domain; information extraction system; information retrieval; intelligent clinical notes system; intensive care unit; medical care domains; natural language processing; software engineering technology; Australia; Data mining; Dictionaries; Information retrieval; Intelligent systems; Medical diagnostic imaging; Medical services; Natural language processing; Terminology; Unified modeling language; Information Extraction; Information Retrieval; Intelligent Clinical Notes System (ICNS); SNOMED CT (SCT); TTSCT;
Conference_Titel :
e-Health Networking, Applications and Services, 2009. Healthcom 2009. 11th International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-5013-8
Electronic_ISBN :
978-1-4244-5014-5
DOI :
10.1109/HEALTH.2009.5406206