Скачать или смотреть Healthcare Data Governance: Essential Foundations for AI Success

Join host Dario Priolo in a strategy discussion with Michelle Tinsley, CEO of Sciata, a data engineering and AI consulting firm, as they explore the critical role of data governance in enabling successful AI implementations in healthcare organizations.

Key Topics Covered:

Why "garbage in, garbage out" makes data quality fundamental to AI success
The three-step approach to healthcare AI readiness: data cleansing, governance, and pilot programs
Common data challenges: field misuse, permission management, and HIPAA compliance
How to start AI initiatives without "boiling the whole ocean" - focusing on non-mission-critical use cases first
The urgency of digital transformation: why waiting puts organizations 6+ months behind competitors
Real-world examples from COVID prediction models and healthcare data monetization
Moving from static barcodes to intelligent 2D systems in healthcare environments
Overcoming organizational "lockup mode" and AI tool restrictions that reduce team productivity

Who Should Watch:

Healthcare executives and CIOs
Hospital administrators planning AI initiatives
Healthcare IT leaders responsible for data strategy
Organizations struggling with data silos and governance
Teams looking to start AI pilot programs in healthcare settings

Michelle emphasizes the importance of starting with proof-of-concept projects rather than massive enterprise-wide implementations, and shares insights on how healthcare organizations can begin their AI journey while maintaining operational stability.

About the Expert:

Michelle Tinsley: CEO of Sciata, specializing in custom software, data engineering, and AI implementations for healthcare organizations including Blue Cross Blue Shield, Sonora Quest, and other major healthcare systems

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