Structured vs. Unstructured Data - Strategic Insights for AI Adoption in Healthcare

Healthcare CXOs are grappling with an explosion of data, yet most of it remains underutilized due to its complexity and unstructured nature.

27

February
2025

AI Reality Check: Driving Digital Transformation with Measurable Impact in Healthcare

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March
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Structured vs. Unstructured Data - Strategic Insights for AI Adoption in Healthcare

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May
2025

Compliance Operations Management in Healthcare — Reduce Penalties with AI-Powered Workflows

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Key Takeaways

01

Data landscape in Healthcare

80% of data in healthcare is unstructured

02

Challenges of Data

How EHRs differ from clinical notes, imaging, and other data sources

03

Cost, Storage & Performance

Key trade-offs and how to manage them effectively

04

Future of AI in
Healthcare

Predictive analytics, multimodal data, and compliance automation

Navigating the Data Overload in Healthcare

Data Silos & Fragmentation

Healthcare data is scattered across multiple systems – Interoperability issues make it difficult to integrate and analyze data holistically. 

Unstructured Data Remains Untapped

80% of healthcare data is unstructured, including doctor’s notes, pathology reports, radiology images, and voice transcripts.

AI Adoption is Challenging

AI solutions require clean, structured data, making data preparation a major bottleneck. 

Cost & Performance Trade-offs

AI-driven insights come at a coststorage, compute power, and real-time processing challenges create barriers to adoption.

Compliance & Data Security Risks

AI systems handling unstructured data must ensure privacy, security, and auditability to remain compliant. 

Event Speakers

Meet Our Speakers

Doug Foster

Partner at Advanced Data Sciences Mentor - CDL

Bruce Kyle

AI Solution Architect - IBM
Ex-Microsoft

Rajashree Varma

CEO and Founder - AffableBPM
Ex-Microsoft

Chad Norley

VP of Operations - AffableBPM Moderator

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