Promise of AI and Digital Pathology in Practice: Workforce and Reimbursement Implications

The presentation discusses the current state and future implications of digital pathology and artificial intelligence (AI) in dermatopathology. The speaker, a GU pathologist, emphasizes the transformative impact of digital technologies on workflows, diagnostics, and productivity within pathology practices. With approximately 50-70% of electronic medical record data originating from laboratories, the integration of AI can lead to improved diagnostic accuracy and efficiency. The speaker highlights current challenges such as staff shortages, increasing workloads, and the need for standardization in diagnostics. AI offers tools for automating time-consuming tasks, thus freeing up pathologists' time for more clinical work and teaching. The cost of creating digital slides is decreasing, and the infrastructure for AI model development has matured. The conversation in pathology is shifting towards how to effectively incorporate AI algorithms into practices, which are increasingly being used for clinical diagnoses rather than educational or research purposes. Furthermore, the introduction of new CPT codes for AI and digital workflow, although not currently reimbursable, indicates potential for revenue opportunities, including remote consultations and virtual networks for pathologists. The future may see a significant integration of AI in diagnostic workflows, creating opportunities for enhanced capabilities in detecting complex conditions and improving patient care. The speaker encourages collaboration between pathologists and tech developers to create effective tools that enhance diagnostic practice, emphasizing that AI is about augmentation rather than replacement of human expertise.