AI and Healthcare The Fight to Clean Up Healthcare Data - with Mika Newton [FULL PODCAST]
May 1, 2025
Rajiv Haravu, SVP of Product Management at IMO Health, dives into the chaotic world of healthcare data. He highlights the challenges of inconsistent documentation and the limitations of AI in addressing these issues alone. The conversation explores the importance of precise tools and editorial standards in data normalization. Rajiv also discusses the evolving definitions in medical terminology and how the integration of AI and traditional methods can improve patient care and research outcomes, ensuring the accuracy of health information.
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Rajiv Haravu's Career Journey
- Rajiv Haravu shares his extensive background in healthcare and AI, from clinical roles to leading product management at IMO Health.
- His journey includes hands-on experience with health information exchanges, medical devices, and IBM Watson Health's AI initiatives.
Complexity of Healthcare Data
- Healthcare data is highly variable and inconsistently documented, even for simple lab tests like hemoglobin A1C.
- This variability complicates data normalization and severely impacts patient care, research, and public health insights.
Fighting Definition Decay in Healthcare
- IMO Health combats definition decay by employing clinical terminologists who continuously surveil and update terminology standards.
- Their 30-year editorial policy ensures evolving coding systems reflect current clinical language and compound concepts accurately.