Future of Cancer Data Summit

9:30–9:45 AM

Welcome

9:30 AM Welcome

In this deeply personal talk, Amanda Haddock shares her son David’s journey and how it illustrates the transformative potential of molecular pathology and genomics.

Learn how pathologists—guardians of critical data—are enabling targeted therapies and driving true personalized care for patients who once had few options. David’s story reminds us of how far we've come, and of how much better we can do today. Don’t miss this moving conversation at the intersection of science, stewardship, and humanity.

Amanda Haddock
President
Dragon Master Initiative

Explore how USCDI+Cancer is creating a national framework for consistent, interoperable cancer data exchange. This session will highlight how the initiative is aligning stakeholders, advancing structured reporting, and enabling better data flow across pathology, oncology, and public health to improve patient care and outcomes.

Hung S. Luu, MD, PharmD, FCAP
Director of Clinical Pathology
Children’s Health
UT Southwestern Medical Center

Break

This session explores ongoing efforts to improve the interoperability of cancer data—from individual patient reports to large-scale research and public health initiatives. Learn how breaking down data silos and enabling seamless information exchange can enhance clinical decision-making, accelerate discovery, and support a more connected, responsive cancer care system.

Moderator: Hannah L. Gilmore, MD, FCAP
Professor of Pathology
Cleveland Clinic

Eric B. Durbin, DrPH, MS 
Associate Professor, Division of Biomedical Informatics, University of Kentucky College of Medicine
Director, Cancer Research Informatics Shared Resource Facility, Markey Cancer Center
Director, Kentucky Cancer Registry

W. Scott Campbell, PhD, MBA
Associate Professor, Peter C. Hinrichs Endowed Chair of Informatics
Director of Public Health Laboratory Informatics and Pathology Laboratory Informatics
Department of Pathology/Microbiology
University of Nebraska Medical Center

12:15 PM Lunch

Discover how integrating cancer data—especially from pathology reporting—can drive better patient outcomes and smarter clinical decisions. In this dynamic panel, experts share real-world examples of leveraging pathology data through tools like electronic cancer protocols (eCP) to unlock transformative insights. Hear how synoptic reporting, standardized electronic data capture, and interoperability between health systems are reshaping both patient care and research. Explore how streamlined, structured data integration supports precision oncology and fosters a more connected, data-driven ecosystem across the continuum of cancer care.

Moderator: Michael Feely, DO, FCAP
Associate Professor
University of Florida

J. Mark Tuthill, MD, MS, FCAP
Division Head of Pathology Informatics
Henry Ford Health

Keluo Yao, MD, FCAP 
Pathology Informatics Physician Lead
Cytopathologist
Cedars-Sinai

Scott Robertson, MD, PhD, FCAP
Staff Pathologist
Medical Director of Image Analytics
Cleveland Clinic

As cancer care becomes increasingly data-driven, modernizing how pathology data is shared is critical to improving outcomes. Yet many workflows still rely on manual entry, creating delays and risking errors. This session explores how we're laying the track for faster, more reliable cancer reporting through structured data standards like electronic Cancer Protocols (eCPs), Structured Data Capture (SDC), and NAACCR’s Volume V. You’ll also learn how HL7 FHIR is enabling the secure, real-time exchange of pathology data—reducing burdens, enhancing data quality, and helping the entire cancer care ecosystem stay on track.

Alex Goel, MI
CEO & Founder
Topology Health, Toronto, Canada

Break

This presentation offers a strategic overview of AI governance tailored for health care institutions, with a focus on pathologists and diagnostic leaders. Brenton Hill, JD, MHA, from the Coalition for Health AI (CHAI), will unpack the emerging legal and regulatory landscape for AI in health care, provide practical governance models, and introduce the CHAI certification framework built to simplify compliance and improve trust.

In addition to core AI oversight principles, the session will address how governance strategies intersect with electronic pathology reporting and synoptic data capture—critical components for ensuring data integrity, interoperability, and readiness for AI-driven innovation in diagnostics and cancer care.

Using real-world examples, the session explores:
• How AI oversight structures should be built
• What risk signals to monitor
• Where regulation is headed (HIPAA, ACA 1557, FCA)
• Why internal governance matters more than ever
• How to integrate electronic pathology reporting and structured data capture into AI governance frameworks

Participants will leave with a blueprint for implementing governance that is scalable, standards-based, and future-ready—rooted in culture, compliance, and clinical responsibility, and designed to leverage high-quality pathology data for better patient outcomes.

Brenton Hill, JD, MHA
Head of Operations and General Counsel
Coalition of Health AI (CHAI)

AI won't replace clinicians—but clinicians who harness AI will redefine medicine, turning data into decisions and decisions into better lives.

In this closing session, we'll explore how clinicians are already using AI to transform health care—spanning diagnostics, prognostics, treatment prediction, and companion diagnostics—and how these innovations are affecting everyday practice today. We’ll also highlight key CAP initiatives that are laying the groundwork for real-world testing, clinician-led evaluation, and responsible adoption. Together, these efforts are shaping a more predictive, personalized, and equitable future of care.

Rajendra Singh, MD, FCAP
Director of Dermatopathology and Digital Pathology
Summit Health

Wrap Up