Powering AI Innovation: Secure Data Infrastructure for Next-Generation Healthcare at HIMSS

Join us to explore how robust, secure, and ethical data infrastructure is the critical enabler for the next wave of AI-driven transformation in healthcare. This session will focus on the convergence of precision medicine, digital pathology, and artificial intelligence, showcasing how organizations can build a trusted, scalable foundation for innovation.

Attendees will gain insights into practical, real-world strategies for:
Mass Digitization and Curation: Successfully transforming vast, historical archives—specifically in digital pathology—from secure physical handling to high-quality whole-slide imaging and accurate, standardized metadata tagging.

Intelligent Data Economics: Implementing tiered, intelligent storage solutions that optimize data placement based on access frequency and regulatory requirements, driving cost efficiencies and ensuring rapid retrieval for clinical and research needs.

Creating AI-Ready Datasets: Establishing best practices for generating large, properly de-identified, and highly curated datasets essential for training robust AI models while meticulously protecting patient privacy and ensuring compliance.

Facilitating Ethical Data Exchange: Leveraging a trusted, neutral framework to accelerate medical innovation through ethical data sharing, ensuring data contributors maintain transparency and control over how their valuable assets are utilized.