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Ratnakar Lavu, chief digital information officer at Elevance Health, discusses how the company is implementing AI into its workflow and the framework the health insurer uses to validate AI models, which prioritizes accountability, transparency, fairness, privacy and safety.
Lavu said the principles are designed to ensure AI systems are explainable, unbiased and continuously monitored over time. He also notes the importance of cross-functional collaboration between teams to evaluate AI tools throughout their lifecycle.
"We have humans audit things to ensure that there are no hallucinations," Lavu said. "Humans will also be in the loop when we implement AI solutions because they are constantly looking and auditing that the AI is staying within the guardrails and that no hallucination or bias creeps into it."
To learn more about Elevance Health's AI guiding principles, listen to the full conversation between Lavu and Jessica Hagen, executive editor of MobiHealthNews.
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Talking points:
- Insurance approvals and denials
- AI and member outcomes
- Cross-functional oversight of AI
- Using AI to speed approvals
- Keeping a human in the loop with AI
More about this episode:
Q&A: Elevance Health on guardrails and scaling AI in healthcare
Rethinking 'human in the loop' as AI scales across healthcare
Q&A: Former U.S. chief technology officer Aneesh Chopra on AI in healthcare
Health system adoption of AI outpacing internal governance
Elevance Health latest health insurer to lower 2026 revenue expectations
Email the writer: jhagen@himm.org
