Artificial intelligence is transforming the healthcare claims ecosystem. Providers are using AI-driven tools to accelerate billing, automate coding, and optimize revenue-cycle management. Simultaneously, third-party administrators (TPAs) and insurance carriers are integrating AI into claims adjudication and operations to manage increasing claim volumes.
For plan sponsors, the issue is less about the use of AI itself and more about whether existing claims oversight and payment-integrity controls are keeping pace with increasingly automated billing environments.
While these technologies improve efficiency, they also introduce a growing risk for self-insured health plans: an increase in duplicate and near-duplicate claims.
Plan sponsors are identifying more duplicate and near-duplicate claims through audits and internal reviews, a trend also recognized by administrators. Recent discussions with national insurance carriers confirm that such claims are increasing across major claims platforms.
This trend raises important questions for plan sponsors and fiduciaries regarding claims oversight, internal controls, and the adequacy of current vendor processes in an AI-driven environment.
How AI Is Changing Provider Billing Behavior
AI-enabled billing systems are designed to maximize speed and throughput for providers. These tools quickly generate and submit large volumes of claims, identify resubmission opportunities, and automate follow-up on unpaid or partially paid services.
In practice, this may result in:
- Increased claim resubmissions when payment is delayed or denied
- Multiple submissions of the same claim under slightly different formats or identifiers
- Near-duplicate claims involving overlapping dates of service, procedure codes, or modifiers
In many cases, these submissions are not intentionally fraudulent but result from automated systems operating at scale, often without adequate reconciliation logic.
The Limits of Existing Duplicate Detection Controls
Most TPAs and carriers have duplicate-claim detection controls, but many were designed for a pre-AI environment when duplicate claims were more straightforward to identify.
As provider billing becomes more automated and complex, traditional duplicate-detection logic may fail to:
- Identify near-duplicates that differ slightly in coding or formatting
- Detect duplicates submitted across different timeframes or claim batches
- Reconcile corrected claims versus true duplicates
- Account for AI-generated resubmissions that exploit process gaps
This increases the risk that duplicate or overlapping claims may be paid before they are identified and intercepte through post-payment review processes.
Why This Matters for Self-Insured Plan Sponsors
For self-insured plans, claims paid in error use plan assets. Even small increases in duplicate-payment rates can create significant financial exposure over time, especially for plans with high claim volume.
This trend also has important fiduciary implications.
Plan sponsors are responsible for ensuring that:
- Claims are adjudicated in accordance with plan terms
- Administrative controls are reasonably designed to prevent improper payments
- Vendors are monitored and held accountable for performance
As AI-driven claim volume grows, fiduciaries should assess whether current oversight mechanisms are sufficient to identify and mitigate duplicate-payment risk.
Duplicate Claims as a Fiduciary Oversight Issue
The rise of duplicate and near-duplicate claims is not only an operational concern but also a governance issue.
From a fiduciary perspective, relevant questions include:
- What duplicate-detection controls does the TPA rely on today, and how have those controls evolved in response to AI-driven billing?
- Are duplicate-payment rates tracked, reported, and benchmarked?
- How are post-payment recoveries initiated, pursued, and reported?
- Are recovery success rates monitored and subject to performance standards?
- Can the plan independently validate that duplicate claims are being appropriately identified and addressed?
Often, plan sponsors have limited visibility into these processes and rely heavily on vendor representations without independent confirmation.
The Role of Post-Payment Recovery and Independent Validation
As increased automation strains pre-payment controls, post-payment recovery processes become even more critical. However, recovery efforts are often:
- Inconsistent
- Poorly documented
- Underreported to plan sponsors
Without transparency into recovery workflows and outcomes, fiduciaries may struggle to determine whether duplicate-payment risk is effectively managed.
Independent claims audits and targeted duplicate-claim analyses can serve as an important validation tool, allowing plan sponsors to:
- Quantify the extent of duplicate and near-duplicate payments
- Evaluate the effectiveness of TPA controls
- Identify systemic gaps in detection or recovery processes
- Support governance decisions with objective data
These reviews are intended to help understand how evolving technology affects claims integrity, not to assign blame.
Oversight Considerations Going Forward
Artificial intelligence is fundamentally changing how healthcare claims are generated, submitted, and processed. As these technologies mature, both claim volume and complexity are likely to increase, placing additional pressure on traditional payment-integrity controls.
While duplicate and near-duplicate claims are a visible result of this shift, AI also affects other aspects of the payment-integrity lifecycle, including coding accuracy, claim edits, resubmission behavior, and post-payment recovery.
For plan sponsors, the question is no longer whether AI will influence claims administration, but whether current oversight frameworks have evolved to address these broader changes. Understanding duplicate-claim risk, evaluating vendor controls across the payment-integrity continuum, and ensuring transparency are increasingly important for prudent fiduciary governance in an AI-driven claims environment.
As AI continues to reshape healthcare billing and claims processing, plan sponsors should periodically reassess whether their oversight frameworks and vendor controls remain aligned with an increasingly automated claims environment.
Contact Us
For more information on this topic, please contact a member of Withum’s Self-Insured Health Plan Advisory Services Team.
