General AI Use in Non-billing Purposes

This roundtable explores how AI can enhance the non-diagnostic aspects of pathology, from automating report formatting and synoptic data entry to clinical data aggregation and documentation tools like DAX. Beyond improving efficiency and reducing errors, generative AI can be used to generate "digital" or virtual stains that may one day replace traditional means. AI also holds promise for supporting teaching and training—offering new ways to engage learners, standardize educational content, and assist residency programs in preparing the next generation of pathologists. Ideal for anatomic and clinical pathologists, educators, and trainees interested in practical, real-world AI solutions that go beyond digital diagnostics.

Objectives

• Identify non-diagnostic applications of AI that can enhance efficiency in anatomic pathology workflows.
• Describe how AI tools such as automated documentation systems and report formatting solutions can reduce administrative burden and improve accuracy.
• Evaluate opportunities to integrate AI into routine pathology tasks, including synoptic reporting, clinical data aggregation, and report pre-population.
• Discuss the potential effects of AI on time management, error reduction, and overall job satisfaction for pathologists.
• Describe applications of generative AI for creating digital stains and its potential integration into future pathology workflows.
• Explore future directions and considerations for implementing AI solutions in practices beyond billing and diagnostics.

Speakers

Moderator:
Eyas M. Hattab, MD, MBA, FCAP

Panelists: 
Dibson Dibe Gondim, MD, FCAP
V. K. Cody Bumgardner, PhD