Unified Framework For Clinical Data Analytics (U-Cda)

In spite of significant progress in the area of data management and integration, heterogeneous nature of clinical data makes it challenging to develop a unified view of clinical data. Therefore, a central question we are trying to address is how we can utilize data analytics to discover insightful knowledge from the scattered & large amount of clinical data to simplify clinical decision making. We propose a Unified Framework for Clinical Data Analytics (U-CDA) for mining large amounts of heterogeneous data to build enhanced clinical data analytics system. The proposed framework (U-CDA) in this paper integrates relevant clinical data from structured and unstructured data sources such as electronic health records, legacy health information system databases, clinical notes, public registries, and genomic datasets after applying necessary cleansing and transformations. It further uses intelligent, versatile data analytics engine to analyze clinical data.