Big Data Analytics in Healthcare Joseph Thottungal Healthcare Consultant

What is Big data? Big data means different things for different industries. The definition also differs within an organization, across departments and management layers within IT and business. At The Big Data Institute (TBDI), big data is a “term applied to voluminous data objects that are variety in nature – structured, unstructured or a semi- structured, including sources internal or external to an organization, and generated at a high degree of velocity with an uncertainty pattern, that does not fit neatly into traditional, structured, relational data stores and requires strong sophisticated information ecosystem with high performance computing platform and analytical capabilities to capture, process, transform, discover and derive business insights and value within a reasonable elapsed time.”

Why Big data analytics in Healthcare? Healthcare Industry generates a huge amount of data such as Clinical data from CPOE Clinical decision support systems such as physician’s written notes and prescriptions, medical imaging, laboratory, pharmacy, insurance Patient data in electronic health records (EHRs) Claims data Machine generated/sensor data, such as from monitoring vital signs Social media posts, including Twitter feeds, status updates on Facebook and other platforms Data maintained for regulatory compliance such as Affordable Care Act, HIE, ACO etc.

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