A Generic Framework: From Clinical Notes to Electronic Medical Records

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