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Hospitals use AI to diagnose, and insurers are not pleased

Original title, in Spanish: “Los hospitales están utilizando IA para diagnosticar. Y a las aseguradoras no les está gustando nada”

Publication
Xataka (Spain)
Author
Rubén Andrés
Published on
6 October 2026 · read in the page structured data

Summary

In the United States, hospitals and health insurers are each using AI at opposite ends of the medical billing chain, according to a New York Times report picked up by Xataka. Hospitals use software that analyses test results, medical notes and patient histories to justify more costly secondary diagnoses: the McLaren group in Michigan is reported to earn an extra million dollars in monthly revenue as a result. A report by the insurer BlueCross puts this additional cost at $942 million between 2023 and 2025, of which 70% is linked to secondary diagnoses that reclassify the admission. In response, insurers use AI to detect irregularities and deny more payments: UnitedHealthcare had already denied 22.7% of post-hospitalisation care requests in 2022, according to the US Senate. The consultancy Marsh forecasts an 8.2% rise in healthcare costs per employee in 2027.

Summary based on the full text of the article.

Read the article on Xataka →

Figures cited

  • 942 millions of dollars

    Estimated additional spending from diagnoses of complex conditions in the US, 2023-2025

    United States, 2023-2025

    « el número de pacientes diagnosticados con afecciones complejas parece haber supuesto un gasto adicional estimado de 942 millones de dólares en atención médica entre 2023 y 2025, provocando un aumento de las primas para las familias, los empleadores y los contribuyentes »

    Source: Informe de BlueCross

  • 70 %

    Share of patients whose secondary diagnosis raised the billing category to a more costly level

    United States, Medicare patients, 2023-2025

    « Cerca del 70% de esos pacientes venía de diagnósticos secundarios que subían el ingreso a una categoría más cara. »

    Source: Informe de BlueCross

  • 1 million dollars per month

    Additional monthly revenue for the McLaren hospital group from using AI to manage diagnoses

    McLaren, Michigan, United States

    « el grupo hospitalario McLaren que opera en Míchigan, ingresa un millón más al mes gracias al uso de IA en la gestión del diagnóstico de sus pacientes. »

    Source: The New York Times

  • 22.7 %

    Denial rate of post-hospitalisation care requests by UnitedHealthcare under Medicare Advantage, 2022

    UnitedHealthcare, Medicare Advantage, United States, 2022

    « El Senado de EEUU documentó que UnitedHealthcare denegaba en 2022 un 22,7% de las peticiones de cuidados tras el alta en Medicare Advantage. »

    Source: Senado de EE. UU.

  • 8.2 %

    Forecast rise in healthcare costs borne by each employee in 2027

    United States, forecast for 2027

    « La consultora sanitaria Marsh (antes Mercer) prevé que el coste de salud que deberá pagar cada empleado suba un 8,2 % en 2027, el mayor salto desde 2003. »

    Source: Marsh (anciennement Mercer)

Classification

Country
United States
Company size
All sizes
Industries
Healthcare, pharmaceuticals, social care · Banking, insurance, asset management, finance departments
Companies
American Hospital Association (AHA) (cited), Marsh (study author), Peterson Health Technology Institute (study author), BlueCross (study author), McLaren (deploys AI), UnitedHealthcare (deploys AI)
Keywords
healthcare, health insurance, medical billing, AI diagnosis, reimbursement, hospitals

Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Xataka and its author. Entry translated from French by Claude Sonnet 5.5.