Automation is increasingly embedded in utilization management, claims review and other payer workflows. The evidence bank documents state action requiring individualized review or limiting the use of AI as the sole basis for adverse coverage decisions, while litigation is placing greater attention on internal model governance and review processes.
This risk is broader than prior authorization. A payer may describe an algorithm as only one input, but stakeholders increasingly expect proof that human review is qualified, consequential and based on the individual patient record rather than a nominal sign-off. Plans also need to know how vendors, models, escalation rules and overrides fit together when responsibility is questioned.
What to watch: Additional state AI restrictions; litigation discovery involving model governance; regulator requests for decision logic; appeal patterns involving automated workflows; disclosure requirements; evidence that staff can meaningfully override model recommendations.