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

fYear

0

fDate

0-0 0

Firstpage

111

Lastpage

118

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on

Conference_Location

Salt Lake City, UT

ISSN

1063-7125

Print_ISBN

0-7695-2517-1

Type

conf

DOI

10.1109/CBMS.2006.13

Filename

1647555