Why Healthcare AI Is So Hard: The Data Problem Behind It
- Oct 29, 2026
- Isha Taneja
Explore the hidden data challenges behind healthcare AI and why trustworthy, connected, and well governed data is essential for better AI outcomes.

Explore the hidden data challenges behind healthcare AI and why trustworthy, connected, and well governed data is essential for better AI outcomes.
Healthcare AI sounds powerful. But what happens when the data behind it is fragmented, inconsistent, or difficult to trust?
Vikram Anand, Head of Data at Carenostics, brings deep experience across healthcare data, technology, analytics, and AI. His work gives him a close view of the challenges organizations face when trying to turn complex healthcare information into reliable, usable data.
On The Executive Outlook, Vikram explains why healthcare AI is difficult to scale without first solving the underlying data problem. Patient information can sit across EHRs, lab systems, health information exchanges, and other platforms, often in different formats and structures.
He also highlights the importance of the less visible work behind AI: moving data, storing it correctly, integrating systems, maintaining data quality, and meeting healthcare regulations such as HIPAA.
For Vikram, AI is only as dependable as the foundation supporting it.
Before healthcare organizations ask what AI can do, they need to ask:
Is the data ready for AI?
Listen to Vikram's feature now.
CEO, Complere Infosystem | Editor-in-Chief of The Executive Outlook | Data Storyteller | Business Strategist
“Decisions that win are built on accurate and timely insight, not on data overload.”
Isha Taneja is the CEO of Complere Infosystem, a leading data engineering and analytics company that helps organizations turn messy data into business-ready insights. As Editor-in-Chief of The Executive Outlook, she curates bold stories and sharp perspectives from leaders shaping the future.
Whether she’s working with clients on digital transformation or sharing authentic leadership stories, Isha’s mission is simple:
Make data-driven decisions easier, faster, and more impactful.