Title :
A Generic Framework: From Clinical Notes to Electronic Medical Records
Author :
Han, Hyoil ; Choi, Yoori ; Choi, Yoo Myung ; Zhou, Xiaohua ; Brooks, Ari D.
Author_Institution :
Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA
Abstract :
Electronic medical records are important to manage health data and save lives to improve the quality of service in hospitals. Clinical medical records contain a wealth of information, largely in free-text form. This paper proposes a generic framework to semi-automatically extract and mine data from clinical note, automatically learn patterns for each physician´s clinical notes, and automatically populate EMR databases for multi users. In this paper, we also develop a Web-based system with a relational database to automatically store data from medical information extraction (MedIE) system that extracts and mines a variety of patient information with breast complaints from semi-structured clinical records
Keywords :
data mining; hospitals; information retrieval; medical information systems; quality of service; relational databases; EMR databases; clinical notes; electronic medical records; free-text form; hospitals; medical information extraction system; quality of service; relational database; Biomedical engineering; Data engineering; Data mining; Educational institutions; HTML; Information science; Maintenance; Relational databases; Surgery; Web pages;
Conference_Titel :
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2517-1
DOI :
10.1109/CBMS.2006.13
