Digital pathology is changing how laboratories approach diagnostics, workflows and patient care. But realizing its potential requires healthcare leaders to look beyond the technology itself and consider its impact across the pathology service line.

In this episode of Healthcare Insider, Matthew Hanna, MD, vice president of pathology informatics at UPMC, discusses the evolution of digital and computational pathology and what these advances could mean for health systems in terms of care and financial performance.

Key takeaways:

  • Explore the business case for digital pathology beyond direct reimbursement, including potential effects on workflow efficiency, slide management, recruitment and the broader patient care pathway.
  • Learn how computational pathology and AI can help pathologists identify areas of interest, quantify biomarkers, prioritize cases and integrate increasingly complex diagnostic information.
  • Discover how the pathologist's role is evolving as digital imaging, molecular data and computational outputs become more integrated into clinical decision-making.
  • Hear practical steps for implementation, including workflow readiness, governance, infrastructure, baseline metrics and post-implementation performance measurement.

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