Why Healthcare AI Is So Hard, The Data Problem Behind It | Vikram Anand | Isha Taneja

Disclaimer: This content is for informational and educational purposes only. It covers healthcare data management, artificial intelligence in healthcare, master data management, data interoperability, data quality, agentic AI, healthcare technology, and AI adoption. The views shared reflect Vikram Anand’s professional experience and may vary across healthcare organizations and technology environments. Description: In this episode of The Executive Outlook, Vikram Anand, Head of Data at Carenostics, shares practical insights on healthcare data management, AI in healthcare, data interoperability, master data management, and data foundations for AI. Vikram explains why healthcare organizations still struggle with fragmented patient data and how data standardization, MDM, patient matching, and data quality can create more reliable healthcare systems. He also discusses how AI and Agentic AI in healthcare can improve diagnostics, automate workflows, support care coordination, and accelerate data processing. At the same time, he highlights the importance of AI governance, human validation, healthcare regulations, and trusted data before AI can be used effectively. Tune in for insights on healthcare AI, healthcare data, MDM, Agentic AI, data quality, AI adoption, and digital transformation in healthcare. Subscribe to The Executive Outlook for more conversations on AI, data, technology, and leadership. Who is Vikram Anand? Vikram Anand is the Head of Data at Carenostics and a healthcare data leader with more than 15 years of experience working across data, analytics, and AI. His experience includes healthcare data management, population health, predictive models, medical imaging, data platforms, and AI-driven healthcare solutions. Throughout his career, he has worked on solving complex data challenges that directly support better healthcare workflows and patient care. Today, Vikram focuses on building reliable, standardized healthcare data foundations that help organizations use AI more effectively while maintaining data quality, accuracy, and trust. ----------------------------- Subscribe To Our Other YouTube Channels: - Complere Infosystem: ‪@complereinfosystem‬ IDEA Talks: ‪@idea-talks‬ ----------------------------- Stream Out “The Executive Outlook” episodes on Spotify: https://open.spotify.com/show/61dQpJi... Listen to Vikram Anand’s episode on Spotify: https://open.spotify.com/episode/7LnH... ----------------------------- Timestamps: 00:00 - Guest Introduction 01:29 - From Engineering to Healthcare Data Leadership 03:28 - Why Healthcare Data Is Still So Hard to Manage 04:47 - The Biggest Data Management Challenges 06:39 - How to Solve Healthcare Data Fragmentation 07:57 - Building a Golden Patient Record With MDM 09:49 - How AI and MDM Work Together 11:10 - Bridging the Gap Between Business and Technology 12:58 - Real-World AI Use Cases in Healthcare 14:45 - Using Agentic AI for Care Coordination 16:16 - How to Build Trust 19:27 - How Executives Should Start Their AI Journey 21:16 - Closing Remarks ----------------------------- Follow Vikram Anand here: LinkedIn:   / vikram-anand-569b811   ---------------------------------- About Isha Taneja: Isha Taneja is the CEO of Complere Infosystem, a leading IT consulting firm specializing in data engineering, analytics, app development, and AI solutions. She’s also the voice behind “The Executive Outlook," where she brings real stories and insights through conversations with industry leaders. With a mission to simplify complex knowledge, Isha helps businesses transform messy data into actionable decisions that drive meaningful results. To know more, Follow Isha Taneja on: Instagram:   / isha.taneja18   Twitter: https://x.com/Ishataneja18 LinkedIn:   / isha-taneja18   Follow The Executive Outlook on: Instagram:   / theexecutiveoutlook   Twitter: https://x.com/OutlookThe36438 LinkedIn:   / the-executive-outlook