Episode 44

Why Healthcare data ingestion is so hard: What can we do about it

Healthcare organizations continue to struggle with ingesting clinical and claims data and using it at scale. In this episode, Ravi Gupta, SVP at CitiusTech, explains why healthcare data ingestion is so hard, from inconsistent implementations and loss of clinical context to pipelines that become difficult to maintain as systems evolve.

Ravi shares practical insights into what makes ingestion complex in real-world healthcare environments and how organizations can rethink their approach to build more reliable and scalable data foundations.

Key takeaways:

Why healthcare data is standardized in theory but inconsistent in practice
What makes healthcare data ingestion difficult to scale
Why trust and context matter more than just getting data in
The importance of validating and normalizing data early
How configurable ingestion approaches support long term scalability

Ravi Gupta

SVP, CitiusTech

Ravi Gupta is a Senior Vice President at CitiusTech, where he heads Strategic Initiatives, M&A Integration and Large Deals across Healthcare and Life sciences along with leading the Interoperability and Integration Engineering practice. He brings over two decades of experience in healthcare IT, consulting, and digital transformation, with prior leadership roles at Wipro and Genpact. Ravi holds an MBA from the Indian Institute of Management (IIM) Mumbai and regularly contributes to industry thought leadership on healthcare data and innovation.

Episode 44

Why Healthcare data ingestion is so hard: What can we do about it

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