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A storage & search efficient representation of medical data

Integrating Large-scale medical data is important to support healthcare research. Medical data have a number of unique characteristics like data sparseness, high dimensionality and rapidly changing set of attributes. To handle the above challenges of medical data, Entity Attribute Value (EAV) is the widely used solution. However, EAV suffers from higher storage requirement and not search efficient. In this paper, we have proposed a storage & search efficient data model: Optimized Column-Oriented Model (OCOM) for the physical representation of Medical data as an alternative of widely used EAV. This model optimizes basic Column-Oriented model. We have demonstrated its effectiveness by testing it in a medical data-warehousing environment.