AI Coding Adds $1 Billion in Hospital Costs, Insurers Say
Insurers report AI-assisted medical coding added over $1 billion in hospital costs, sparking debate over billing practices and patient care.
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Blue Cross Blue Shield (BCBS) has reported that the growing use of AI in medical coding has added nearly $1 billion in extra costs for its health plans between 2023 and 2025. The analysis, conducted by BCBS’s trade association, highlights a significant disconnect between coding and actual patient treatment, with many additional diagnoses not affecting the care provided.
A Clear Disconnect Between Coding and Treatment
According to the BCBSA report, 70 percent of the additional costs—amounting to $653 million—were due to secondary diagnoses that did not alter the patient’s care. Luke Chalker, senior vice president of product and data science at BCBSA, noted that these diagnoses are often derived from single laboratory values, making them particularly suited for detection by AI tools.
Chalker warned that the trend could lead to higher premiums and out-of-pocket costs for patients, as the additional expenses are likely to be passed on. Benefits consulting firm Marsh projects a 8.2 percent rise in health coverage costs for employees in 2027, the steepest increase since 2003.
Experts Weigh In: AI Exploits Existing Incentives
Health economist Christopher Whaley of Brown University argues that AI isn’t creating new billing incentives but rather exploiting existing ones. He emphasized that while some additional diagnoses may be legitimate, others may not influence patient care, despite supporting higher billing.
The American Hospital Association (AHA) criticized the BCBSA analysis, stating that it lacks context regarding the impact of AI tools on healthcare quality and patient access. The AHA also accused insurers of raising concerns about provider coding while continuing to rely on automated downcoding and denial practices that can impede coverage of medically necessary care.
The Administrative Arms Race
Marisa Greenwald of Oliver Wyman described the situation as an “administrative arms race,” with both hospitals and insurers investing heavily in tools that have little to do with patient care. She noted that while AI can ease the workload on physicians, it also introduces challenges in distinguishing genuine improvements from misuse and overcoding.
Whaley called the standoff between hospitals and insurers an ongoing battle, with both sides likely to continue increasing costs through technological investments without direct benefits to patient care.
Source: Breitbart
