Why Data Normalization Matters for Patient Care With: Rajiv Haravu
Rajiv Haravu outlines the complex challenges in healthcare data normalization, emphasizing variability in clinical documentation and the real-world consequences of non-standardized data. He explains how differences in terminology, context, and documentation style can lead to information loss, affecting patient care, research, and public health. Haravu also discusses 'definition decay'—how medical terminology and meaning evolve over time—and highlights IMO Health’s approach of constant surveillance, expert curation, and regular content updates to maintain accuracy.
Episode Contents:
About the Guest
Rajiv Haravu is SVP of Product Management at IMO Health, leading innovations in clinical terminology and data quality. Learn more at: https://www.linkedin.com/in/rajivharavu/
Key Takeaways
- Variability in documentation leads to major data challenges
- Definition decay requires constant monitoring and updates
- Non-standardized data impacts research, care, and public health
Transcript Summary
What is the biggest challenge in data normalization?
Variability in clinical documentation and terminology, leading to inconsistencies and loss of information.
How does definition decay factor in?
Medical concepts change over time, requiring constant updates.
How does IMO Health address this?
Through expert curation, ongoing surveillance, and frequent content releases.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.