Blue Cross Blue Shield Association estimates that hospitals' use of AI-assisted medical coding added nearly $942 million in costs to its health plans between 2023 and 2025. The group says much of the increase stems from AI identifying secondary diagnoses, often based on single lab values, that push patients into higher-paying billing categories. Health economist Christopher Whaley notes AI is making it easier to capture existing billing incentives, though the added diagnoses are not necessarily inappropriate.
cnbc.com
· 2026-10-01
The Blue Cross Blue Shield Association released an analysis attributing $942 million in additional healthcare spending over two years to hospitals' use of AI tools when submitting insurance claims. The group found a sharp rise in patients coded as having complex conditions without corresponding changes in the actual care delivered. The New York Times cited the findings as part of a broader trend of AI driving up healthcare costs on both the hospital and insurer sides.
techcrunch.com
· 2026-09-26
Industry analysis argues that healthcare's administrative problems stem from fragmented information, workflows and accountability across disconnected systems like EHRs, billing platforms and payer portals, rather than a shortage of data. The revenue cycle—covering scheduling, coding, billing and payer follow-up—is identified as an ideal proving ground for AI because it combines high transaction volume, complex reasoning needs and measurable outcomes, but traditional rule-based automation struggles due to constantly shifting payer rules and frequent exceptions.
technologyreview.com
· 2026-09-10
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