Cigna's AI push to save $200M, cut costs

Cigna's AI strategy, led by Katya Andresen, focuses on measuring how AI can change health outcomes rather than chasing use cases. The company's investments are partly a response to rising national healthcare spending, which exceeds $5 trillion annually. By using AI to improve patient engagement and reduce clinician workload, Cigna aims to cut costs and address patient frustration with the complex system.

Andresen, who joined in September 2021, has emphasized partnerships with big AI players like OpenAI and Anthropic, as well as startups like Sierra for specific use cases. Cigna has also deployed internal tools, including an AI virtual assistant in its mobile app and AI-enabled summarization that cut note-taking by up to 90% for MDLIVE practitioners. The company's compliance framework, built over a decade, helps manage sensitive patient data.

Looking ahead, Andresen envisions AI in healthcare becoming conversational, ambient, and more proactive, allowing for more precise treatments and recommendations. However, the article notes rising questions about guardrails for AI chatbots handling sensitive information. Cigna's regulated status provides a foundation, but as AI evolves, maintaining accuracy and privacy will remain critical.