Recent studies have shown that patient-specific **data** can be utilized for the development of intelligent Healthcare Information Management Systems (HIMS), that support a wide range of supporting applications that enhance healthcare delivery platforms. The application of natural language processing, sophisticated **data** modeling, and predictive algorithms make it a highly interesting area of research. Patient **data** is continuously generated in large volume and variety, given the multiple modalities, it is available in (e.g., discharge summaries, physician's notes, clinical reports, lab reports etc). With an abundance of such diverse information sources available in the medical domain, sophisticated solutions that can adapt to the heterogeneity and specific manifold nature of health-related information are a critical requirement for HIMS development.