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.