The Cost of Disconnected Systems: How to Leverage Pathology-Led Integrated Diagnostics on a Single Enterprise Platform

Most health systems are feeling the impact of fragmented diagnostic systems. Digital pathology may be live, but radiology sits on a separate platform, molecular data is handled elsewhere, and AI tools often run as isolated pilots. These disconnects reduce the full potential of digital transformation and make effective collaboration more difficult. They also lead to avoidable delays, add complexity to MDT meetings, and increase IT and administrative burden.

This session takes a practical look at how digital pathology can anchor an integrated diagnostics strategy on a single enterprise imaging platform. We’ll focus on how leading AMCs and IDNs are approaching this transition, why organizations are choosing an enterprise framework, and what benefits they expect as they expand integrated workflows across pathology, radiology, and genomics. The discussion will highlight real-world decision-making, early lessons learned, and the long-term value of a unified diagnostic platform.

Learning Objectives:

How fragmented diagnostic systems affect workflow, collaboration, and IT complexity
Why digital pathology is well positioned to lead an enterprise imaging strategy across departments
How health systems are approaching integrated diagnostics and the expected benefits of a single platform

Presenters

Tom Zarzycki

Account Manager, MedicalDirector, Strategic Development Digital Pathology | ImIT – Applications – Pathology

Jennifer Fralick

Vice President of Anatomic Pathology and Clinical Laboratories at Stanford Health Care, where she oversees all Stanford Medicine laboratory operations across the San Francisco Bay Area. In this role, she has led major strategic initiatives, including the implementation of two Digital Pathology platforms, a comprehensive scanner ecosystem, and Beaker AP. Under her leadership, Stanford’s pathology and laboratory services expanded significantly to meet rising testing volumes and supported the growing complexity of molecular, genetic, and genomic diagnostics. She also played a central role in establishing and scaling Stanford’s COVID‑19 response.

Before joining Stanford, Jennifer built a reputation as a highly regarded program manager at multiple academic medical centers. Her work included leading large‑scale implementations such as Radiology PACS systems, Epic, and automated chemistry lines—projects that required deep technical expertise, operational insight, and cross‑disciplinary coordination.

Outside of her professional work, Jennifer is an avid cyclist and runner.

Jonathan Shoemaker

Jonathan Shoemaker is an accomplished healthcare technology leader with nearly 30 years of experience advancing enterprise imaging, workflow modernization, and clinical informatics across major academic medical centers. As Executive Director of Imaging Systems and Services at Stanford Health Care, he oversees a broad imaging portfolio and led the design of a highly resilient enterprise imaging platform that supports AI, machine learning, and real‑time research integration. Recently Mr. Shoemaker’s portfolio architected the latest Digital pathology platform that enables a full dicom deployment and informatics normalization model into Stanford digital pathology.

Previously, at Sutter Health, Jonathan directed one of the nation’s largest deconstructed PACS implementations, consolidating 54 medical record systems and migrating 2PB of imaging data while building a new enterprise imaging support organization. His earlier consulting and engineering roles—spanning Ascendian Healthcare Consulting and GE Healthcare—shaped his reputation as a national expert in imaging architecture, VNA strategy, workflow optimization, and complex multi‑system integration.

Rebecca Rojansky

Dr. Rebecca Rojansky, MD. PhD. is Associate Director for Clinical Pathology Informatics and Assistant Professor of Pathology at Stanford University School of Medicine. She is a practicing molecular and hematopathologist. Her work focuses on digital and computational pathology, artificial intelligence, and clinical informatics infrastructure to enable precision diagnostics.

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