AI, Algorithm-Based Health Insurer Denials Pose New Legal Threat

Bloomberg Law's analysis of emerging legal challenges to AI-based claim denials signals a potentially significant shift in the legal landscape around insurance claim adjudication. For physician practices that have watched denial rates climb while appeal success rates remain high, this trend could reshape the economics of denial management — but not immediately, and not without implications worth understanding now.

The core legal question is straightforward: when a health insurer uses an algorithm or AI system to deny a claim without individualized medical review, does that denial satisfy the insurer's legal obligations under the plan contract and applicable regulations? Courts are beginning to address this question, and the early answers are not favorable for payers who rely heavily on automated denial systems.

The Legal Theories Taking Shape

Several legal theories are emerging in cases challenging algorithmic denials:

• Breach of fiduciary duty under ERISA. For employer-sponsored plans governed by ERISA, plan administrators have a fiduciary duty to act in the interest of beneficiaries. Algorithmic denials that bypass individual clinical review may violate that duty.
• Bad faith claims processing. State insurance laws generally require insurers to process claims in good faith. Denying claims at scale without meaningful review — as documented in the Cigna PxDx investigation — could constitute bad faith.
• Violation of state prompt payment and claims processing statutes. Many states have specific requirements for how claims must be reviewed and denied, including requirements for clinical review by qualified professionals.
• Consumer protection violations. State attorneys general are increasingly examining whether automated denial practices constitute unfair or deceptive trade practices.

What This Means for Physician Practices

The legal developments are meaningful, but physician practices should not treat them as a near-term solution to denial challenges. Litigation moves slowly, and even favorable court rulings may take years to produce systemic changes in payer behavior. In the meantime, practices need to continue managing denials through their existing appeal processes.

That said, the legal landscape creates several practical opportunities:

First, practices should document denial patterns that suggest algorithmic processing. When a payer denies claims with identical language across different patients, or when denial turnaround times suggest automated rather than individual review, that pattern has potential evidentiary value — both for individual appeals and for regulatory complaints.

Second, practices operating in states with strong consumer protection laws or insurance regulations should understand the specific requirements for claims review in their jurisdiction. A denial that does not meet state-mandated review standards may be vulnerable on procedural grounds, independent of the clinical merits.

The Regulatory Dimension

Courts are not the only venue where AI-based denials face scrutiny. State insurance regulators, CMS, and congressional committees are all examining the use of algorithms in claim adjudication. The CMS Interoperability and Prior Authorization Rule, finalized in January 2024, includes requirements for specific reasons for denials that may be difficult for purely algorithmic systems to satisfy.

Several states have introduced or passed legislation specifically addressing the use of AI in insurance coverage decisions. These laws vary in scope and specificity, but the trend is toward requiring human clinical review before denials are issued and transparency about when automated systems are involved in coverage decisions.

Implications for Appeal Strategy

The evolving legal landscape reinforces what effective denial management already requires: detailed documentation of the denial, the clinical evidence supporting the service, and the payer's basis for the denial. In appeals, practices should explicitly address whether the denial appears to have involved individualized clinical review. If the denial letter is generic, if the turnaround was implausibly fast, or if the stated reason does not reflect the specific clinical circumstances, noting that in the appeal record creates a paper trail that serves multiple purposes.

Physician practices do not need to become litigants to benefit from the legal pressure being applied to algorithmic denial systems. The pressure itself is already influencing payer behavior, as evidenced by public commitments from major insurers to reduce prior authorization requirements and increase transparency. The practices best positioned to capitalize on these shifts are those with the systems to track, appeal, and document denials systematically.