Episode 47

Building trust in Healthcare data: From pipelines to patient care

Healthcare organizations depend on data for clinical, regulatory, and operational decisions. When that data cannot be trusted, it directly affects outcomes, compliance, and confidence across teams. In this episode of the Shaping Healthcare Podcast, Gaurav Shrimal, AVP of Quality and Validation at CitiusTech, and Anand Rao, VP of Marketing at Datagaps explores why data trust is now a critical focus for healthcare leaders.

The discussion focuses on what it takes to build trust across the data lifecycle, the challenges created by fragmented systems and constant change, and how continuous validation, automation, and modern data practices help organizations move toward reliable, decision ready data.

Key takeaways:

What does trusted data mean beyond accuracy in a healthcare context?
Why do fragmented systems and rapid change make data trust difficult to sustain?
How does continuous validation improve confidence in healthcare data?
How do automation and AI support scalable data trust?
Why is trusted data critical for better decisions and patient outcomes?

Gaurav Shrimal

AVP, Quality & Validation, CitiusTech

Gaurav Shrimal is Assistant Vice President at CitiusTech, leading the Quality and Performance Engineering Practice. With over 2 decades of experience, he drives GTM strategies, QA innovation, and partner-led offerings to fuel revenue growth. Certified in TMMi, Gaurav empowers organizations with scalable QA frameworks and transformative engineering solutions tailored for healthcare and digital platforms.

Anand Rao

VP, Marketing, Datagaps

Anand Rao is Vice President of Marketing at Datagaps, where he leads go-to-market strategy, brand, and demand generation. With experience at Informatica, IBM, Hitachi, Qlik, and Pentaho, Anand is a recognized thought leader on DataOps, data quality, ETL, and AI/ML. He holds an MBA from Carnegie Mellon University.

Episode 47

Building trust in Healthcare data: From pipelines to patient care

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