Top 10 Tips for Leveraging AI in Your GI Practice

During ASGE’s inaugural half-day workshop held on September 12 in conjunction with the annual AI Summit, physicians, industry representatives, technology experts, and other stakeholders discussed integrating AI-driven solutions into GI practice. Recognizing AI is a permanent and impactful component of modern medicine that is already influencing patient outcomes and workflow efficiencies, presentations offered a practical understanding of AI, provided frameworks for assessment, and covered essentials for responsible implementation. Moderated group discussions explored potential solutions for any productivity problem, with an eye to understanding performance, scalability, and potential pitfalls.

In summary of this workshop, Prateek Sharma, MD, MASGE, chair of the ASGE AI Institute, provides his top 10 takeaways from the workshop on Leveraging AI in Your GI Practice.

1. Assess Your AI Readiness: Evaluate infrastructure, data quality, staff training, and regulatory preparedness before implementation.
2. Start with High-Value Areas: Focus first on applications like automated documentation, workflow support, lesion detection where ROI and clinical benefit are clear.
3. Understand the Data Lifecycle: Capture, curate, and monitor data responsibly. Have your GI practice act as data stewards, not just data donors.
4. Prioritize Data Quality and Security: Ensure accurate, representative datasets, implement cybersecurity, and prevent biases to protect patients and build trust.
5. Educate Staff: Provide ongoing training to physicians and teams to improve AI education and ensure smooth workflow integration.
6. Vet Vendors Carefully: Evaluate vendors for reputation, financial stability, compliance, and clinical impact before adoption.
7. Focus on Regulations and Ethics: Follow FDA approvals, create transparent consent processes, and evaluate algorithm robustness.
8. Practice Transparency: Have audits in place for AI use, clarify liability, and communicate with patients about the role of AI in their care.
9. Monitor Outcomes on an Ongoing Basis: Establish KPIs, audit performance, and collect physician and patient feedback for ongoing improvement.
10. Foster Physician Leadership: Appoint physician champions for AI to guide adoption, communications, and ensure clinical alignment.