Expert Report — Fundación ECO × Sqilline
Big Data & AI in Oncology: A Strategic Roadmap for Spanish Hospitals
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Spanish
18 leading oncologists, hospital managers, and health innovation experts lay out how to integrate AI-powered data solutions into hospital oncology — safely, efficiently, and at scale.
"Big Data & AI in Oncology 2026 Report" by Fundación ECO & Sqilline
Products
A strategic and operational guide for hospital decision-makers
Built from an advisory board with Spain’s top oncology hospitals, this report maps every dimension of Big Data adoption.
Context & Challenges
Spain's position in clinical research, the EU competitiveness gap, and fragmentation across hospital data systems.
Data Governance Model
A balanced framework of committees, decision roles, and guiding principles — GDPR, EU AI Act, EHDS — for responsible adoption.
Barriers & Levers
Financial, ethical, technical, and cultural barriers mapped against strategic levers hospitals can activate today.
Implementation Pathway
A 5-phase sequential route — from clinical need identification through piloting, validation, scaling, and continuous monitoring.
Danny DataStruct Case
How an AI platform validated by European agencies structures oncology data at ≥95% accuracy, cutting recruitment time by 40%.
Expert Survey Results
75% of hospitals lack structured registries, yet 100% of experts agree AI would transform their data capabilities.
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Ready to see how structured oncology data can transform your hospital's research and care?