AI and Healthcare AI Is Changing Cancer Care and Policy
Oct 30, 2025
Debra Patt, an oncology leader and chair of ASCO's AI task force, joins Doug Flora, a community oncology expert, to dive into the transformative effects of AI in cancer care. They discuss the barriers to AI adoption, emphasizing that change management is more critical than the technology itself. The pair also tackle Medicare's AI policies, the importance of clinical decision support, and the need for diverse training data to address bias. Their insights spotlight the balance between innovation and patient safety in a rapidly evolving healthcare landscape.
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Use Carrots Before Sticks
- Pair regulatory 'sticks' with financial 'carrots' to accelerate adoption of AI and digital tools.
- Public incentives (like prior EMR programs) can de-risk investments for resource-limited practices.
Automate Clear Prior Auths, Escalate The Rest
- Treat AI-enabled prior authorization as a triage: auto-approve clear, evidence-based cases and escalate ambiguous ones.
- Preserve clinician decision authority and require justification when deviating from guidelines.
Prioritize ePriorAuth And Pragmatic CDS
- Implement ePriorAuth for routine approvals and reserve human review for denials to cut administrative waste.
- Build clinical decision support that nudges clinicians to evidence-based actions using society guidelines.
