{
  "id": 9606544,
  "title": "AI-Generated Medical Coding Adds Nearly $1 Billion to Blue Cross Costs",
  "url": "https://urgent.news/2026/09/24/ai-generated-medical-coding-adds-nearly-1-billion-to-blue-cross-costs",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-24T18:39:49.000Z",
  "source": {
    "name": "PYMNTS",
    "slug": "pymnts",
    "url": "https://www.pymnts.com/healthcare/2026/ai-generated-medical-coding-adds-nearly-1-billion-to-blue-cross-costs/"
  },
  "original_language": "en",
  "account": "Artificial intelligence tools used by healthcare providers to identify patients' secondary medical conditions added nearly $1 billion in additional costs for Blue Cross Blue Shield insurers over two years, according to a study released by the Blue Cross Blue Shield Association (BCBSA) on Thursday (Sept. 24). The findings, reported by Reuters, highlight the growing financial impact of AI systems in healthcare as providers adopt technologies that can automatically identify additional conditions affecting claim coding and reimbursement. Between 2024 and 2025, AI-driven billing led to an extra $653 million in costs for Blue Cross companies, while more intensive care accounted for $942 million in additional expenses compared to 2023. The BCBSA attributes the rise in secondary condition coding to the use of AI technologies such as ambient-scribe systems that listen to patient conversations and generate medical notes. When these conditions are documented, hospital claims are classified as involving more complex care, resulting in higher insurer payments. The study analyzed inpatient billing data from hospitals and medical facilities, serving over 100 million people across 31 Blue Cross Blue Shield insurers. BCBSA senior vice president of product and data science, Luke Chalker, stated that the increase in coded conditions does not imply inappropriate AI use, as it may reflect the true severity of patient conditions. The study's findings come amid insurers' concerns about AI-assisted tools potentially leading to aggressive or inappropriate payment requests. For major bowel surgeries, certain secondary conditions, such as partial intestinal blockages and elevated body acid levels, saw substantial increases between the first quarter of 2023 and the fourth quarter of 2025, underscoring the financial implications of AI's expanding role in clinical documentation and the relationship between healthcare providers and insurers.",
  "summary": "Artificial intelligence (AI) tools used by healthcare providers to identify patients’ secondary medical conditions contributed nearly $1 billion in additional costs for Blue Cross Blue Shield insurers over two years, according to a study released Thursday by the Blue Cross Blue Shield Association. The findings, reported by Reuters on Thursday (Sept. 24), point to a […] The post AI-Generated…",
  "key_points": [
    "AI-generated medical coding added $1 billion to Blue Cross costs over two years",
    "AI-driven billing led to $653 million in extra costs for Blue Cross in 2024-2025",
    "Study attributes rise to AI technologies like ambient-scribe systems"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}