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How do you turn messy, unstructured healthcare data into real-time intelligence that actually improves care? In this podcast hosted by Mphasis Vice President of Products Chenny Solaiyappan, Datycs CEO Dr. Srini Rao shares how his career spanning AI at IBM, global telecom infrastructure, and healthcare data engineering led him to tackle one of healthcare's hardest problems: making unstructured clinical data usable at scale. The conversation explores interoperability, NLP versus GenAI in regulated environments, and why real progress in value-based care depends on transforming clinical notes into actionable, standards-based data.
By Products That Count5
4545 ratings
How do you turn messy, unstructured healthcare data into real-time intelligence that actually improves care? In this podcast hosted by Mphasis Vice President of Products Chenny Solaiyappan, Datycs CEO Dr. Srini Rao shares how his career spanning AI at IBM, global telecom infrastructure, and healthcare data engineering led him to tackle one of healthcare's hardest problems: making unstructured clinical data usable at scale. The conversation explores interoperability, NLP versus GenAI in regulated environments, and why real progress in value-based care depends on transforming clinical notes into actionable, standards-based data.

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