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A Generic Framework: From Clinical Notes to Electronic Medical Records

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5 Author(s)
Hyoil Han ; Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA ; Yoori Choi ; Yoo Myung Choi ; Xiaohua Zhou
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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

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

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