A Generic Framework: From Clinical Notes to Electronic Medical Records

Authors:
Hyoil Han;Yoori Choi;Yoo Myung Choi;Xiaohua Zhou;Ari D. Brooks
Affiliations:
Drexel University, USA;Drexel University, USA;Drexel University, USA;Drexel University, USA;Drexel University, USA
Venue:
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Year:
2006

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Compositional information extraction methodology from medical reports

DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II

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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 semistructured clinical records.