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Unstructured Data Challenges in Healthcare (#2)

Anil Goyal, Sudarsun Santhiappan, Jeshuren Chelladurai Ram Swaminathan

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Abstract:

With the explosion of electronic data in the healthcare space, the industry needs to find the best ways to extract relevant information from the data to help various stakeholders, such as doctors, patients, hospitals, and insurance companies. In this social event, we would be discussing various challenges while dealing with real-world unstructured healthcare data and how BUDDI.AI uses ML, NLP tech to solve these challenges. Further, we would also discuss about how the extracted information is used in various use-cases like Medical Autocoding, Pharma covigilance, Clinical Decision Systems, Claim Denial Prediction, Clinical Trials, Clinical Documentation Improvement and Revenue Cycle Management.

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