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HB 4054
This proposal did not become law. The bill would have mandated that Oregon health insurers notify providers in writing within two business days whenever artificial intelligence or automated software would have automatically reduced a claim's reimbursement rate, and would have guaranteed those providers a timely appeal process consistent with existing state law. Materially, it forces insurers to disclose algorithmic downcoding, standardizes provider notification timelines, and would have created a mandatory peer-review pathway for disputed automated reductions, shifting administrative burden to insurers while increasing transparency for providers.
Generated explanation · Introduced · Analyzed 8/19/2026 · Open official Introduced text
This proposal did not become law.
Generated analysis of Introduced text; it does not establish that the bill applies to you. Read the full decision brief.
No upcoming event is verified in the available records.
Plain-language analysis
Generated analysis, not an official summary or legal advice. Confirm with linked Oregon documents.
This proposal did not become law. The generated effects below describe what it would have required if enacted.
The bill would have mandated that Oregon health insurers notify providers in writing within two business days whenever artificial intelligence or automated software would have automatically reduced a claim's reimbursement rate, and would have guaranteed those providers a timely appeal process consistent with existing state law. Materially, it forces insurers to disclose algorithmic downcoding, standardizes provider notification timelines, and would have created a mandatory peer-review pathway for disputed automated reductions, shifting administrative burden to insurers while increasing transparency for providers.
Basis: Bill text · Source: Introduced
Official sources do not state why this measure was proposed.
Sponsor testimony, staff summaries, committee materials, or statutory findings may explain it.
Inferred from cited text; not a stated purpose.
The measure appears designed to address transparency and due process gaps in automated claim adjudication by requiring explicit disclosure of AI-driven payment reductions and standardizing the dispute pathway.
Basis: Inferred · Source: Introduced
Would have had to implement workflow detection for AI-driven downcoding, generate compliant written notices within two business days, maintain appeal processes aligned with ORS 743B.453, and update annual DCBS filings and public websites to reflect these requirements.
Basis: Bill text · Source: Introduced
Gain guaranteed written notification when AI would have reduced claim payments, clearer documentation of the specific reason for downcoding, and a standardized, timely appeal pathway before medical consultants or peer review committees.
Basis: Bill text · Source: Introduced
Potential effect if enacted: Indirectly affected through potentially more transparent claim adjudication and consistent appeals processes, though the measure does not directly alter patient coverage rights, premium costs, or clinical treatment standards.
Basis: Bill text · Source: Introduced
Insurers would have had to audit utilization review systems to identify AI/algorithmic downcoding triggers, draft compliant notice templates, and integrate ORS 743B.453 appeal procedures specifically for automated reductions.
Basis: Bill text · Source: Introduced
Providers would have had to monitor incoming notices and utilize the new appeals pathway rather than relying on informal resolution, potentially increasing appeal volume but reducing administrative friction.
Basis: Bill text · Source: Introduced
Compliance costs would have falled on insurers for system would have updated, staff training, and administrative processing of mandatory notices. The Department of Consumer and Business Services retains oversight under existing statutes, with the new notice requirement creating a clear audit trail for regulators.
Basis: Bill text · Source: Introduced
Small or rural health care providers
A provider submits a claim that an insurer's AI incorrectly downcodes due to a software update error. Under this bill, the provider receives immediate written notice citing the exact policy language and AI disclosure, files a timely appeal under ORS 743B.453, and recovers full reimbursement after peer review corrects the algorithmic error, preventing significant revenue loss that could have threatened clinic solvency.
Basis: Bill text · Source: Introduced
High-volume insurers and small practices
Potential effect if enacted: An insurer's utilization review system flags a high volume of claims for automated downcoding based on outdated clinical criteria. Providers are inundated with mandatory notices and appeals within the two-day window, overwhelming small practice staff and delaying care coordination, while insurers face litigation risk if notice templates fail to meet the plain language or specific citation requirements.
Basis: Bill text · Source: Introduced
The text would have legally permitted algorithmic utilization review but ties transparency and recourse strictly to automated downcoding events. Misclassification of claim adjustments or procedural delays in appeals would have violated the explicit statutory mandates.
Sources · Introduced
The measure trades increased insurer administrative burden and compliance costs for guaranteed provider transparency and standardized recourse against automated payment reductions. Upsides include reduced arbitrary claim denials, clearer dispute pathways, and enhanced accountability for algorithmic decision-making in reimbursement. Downsides include potential operational delays from mandatory notice processing, increased appeal volume, and compliance costs that might have been passed through the insurance market.
Would have eliminated hidden algorithmic payment reductions by forcing explicit disclosure and timely appeals.
Basis: Bill text · Source: Introduced
Potential effect if enacted: Standardizes dispute resolution across insurers, reducing provider uncertainty and administrative friction.
Basis: Bill text · Source: Introduced
Mandatory two-day notice windows and appeal processing might have strained insurer operations and small practice administrative capacity.
Basis: Bill text · Source: Introduced
Compliance costs for system would have updated, template drafting, and staff training could have increased operational expenses without corresponding revenue adjustments.
Basis: Bill text · Source: Introduced
Model self-rating: high. The bill text explicitly defines obligations, timelines, and appeal requirements for insurers and providers regarding AI-driven downcoding. Grounded claims are directly traceable to the provided statutory language. This is the model’s assessment of its own analysis, not independent verification or human review.
Possible effects if adopted; not current bill text.
This proposal has not become law. The generated effects below describe what it would require if enacted.
The amendment would exempt health benefit plans administered by the Public Employees’ Benefit Board (PEBB) and Oregon Educators Benefit Board (OEBB) from three specific HB 4054 requirements—posting downcoding appeals processes online, providing written notice within two business days when AI or automated tools downcode a claim, and guaranteeing an appeals process for downcoded claims—unless those boards voluntarily elect to comply by notifying the Department of Consumer and Business Services.
Basis: Inferred · Sources: Amendment -1 — proposed amendment; Introduced
Official sources do not state why this measure was proposed.
Sponsor testimony, staff summaries, committee materials, or statutory findings may explain it.
Inferred from cited text; not a stated purpose.
The carve-out likely aims to preserve administrative flexibility for state-administered benefit programs that may operate under distinct federal frameworks or legacy IT architectures, allowing them to manage claims adjudication and vendor contracts without being bound by insurer-specific statutory mandates.
Basis: Inferred · Source: Amendment -1 — proposed amendment
Potential effect if enacted: Gain exemption from specific AI downcoding transparency and appeal mandates; may opt in via rule-prescribed notice to DCBS.
Basis: Inferred · Source: Amendment -1 — proposed amendment
Lose statutory would guarantee of written AI downcoding notices, standardized website disclosures, and guaranteed appeals processes when billing PEBB/OEBB plans.
Basis: Inferred · Sources: Introduced; Amendment -1 — proposed amendment
Potential effect if enacted: Lose statutory transparency and appeal rights tied to AI downcoding, though existing contract or federal protections may still apply.
Basis: Inferred · Sources: Introduced; Amendment -1 — proposed amendment
Potential effect if enacted: Regulatory oversight scope is narrowed for these two boards regarding the specified subsections.
Basis: Inferred · Source: Amendment -1 — proposed amendment
Providers billing PEBB/OEBB plans would not receive statutory AI downcoding notices or guaranteed appeal windows under this measure, potentially increasing administrative friction and payment delays. The boards retain discretion to adopt the requirements voluntarily, which could standardize provider communications if opted in. DCBS rulemaking authority is triggered only for the opt-in notice format.
Basis: Inferred · Sources: Amendment -1 — proposed amendment; Introduced
PEBB/OEBB administrators and enrollees
Potential effect if enacted: PEBB/OEBB rapidly deploy advanced AI adjudication tools to reduce administrative overhead and control premium growth for state and educator employees, avoiding costly system overhauls required by the base statute.
Basis: Inferred · Source: Amendment -1 — proposed amendment
Providers and patients
A provider submits claims that are systematically downcoded via opaque algorithms by a PEBB/OEBB vendor; without statutory notice or appeal would guarantee, the provider absorbs significant unpaid balances while patients experience treatment delays during informal dispute resolution.
Basis: Inferred · Sources: Introduced; Amendment -1 — proposed amendment
Potential effect if enacted: The distinction rests on whether the boards operate within their existing statutory authority and vendor contracts versus circumventing established provider recourse mechanisms through administrative opacity.
Sources · Amendment -1 — proposed amendment; Introduced
Potential effect if enacted: Administrative flexibility and potential cost savings for state-administered health plans versus standardized transparency and appeal protections for providers and enrollees. Upsides include faster technology integration and reduced compliance costs for PEBB/OEBB; downsides include fragmented oversight, reduced provider recourse, and potential payment uncertainty for patients.
Potential effect if enacted: Faster IT adaptation and vendor contract flexibility for state/educator health programs.
Basis: Inferred · Source: Amendment -1 — proposed amendment
Potential effect if enacted: Potential premium stabilization by avoiding mandatory system overhauls for AI downcoding compliance.
Basis: Inferred · Source: Introduced
Potential effect if enacted: Reduced statutory transparency and guaranteed appeal pathways for providers billing PEBB/OEBB plans.
Basis: Inferred · Sources: Introduced; Amendment -1 — proposed amendment
Regulatory fragmentation that complicates DCBS oversight and would create uneven provider protections across Oregon health plans.
Basis: Inferred · Source: Amendment -1 — proposed amendment
Model self-rating: high. The amendment text explicitly carves out PEBB/OEBB from specific subsections of ORS 743B.423, and the base bill clearly defines those subsections. No official rationale or fiscal data was provided, so impacts are bounded to statutory mechanics and standard regulatory consequences. This is the model’s assessment of its own analysis, not independent verification or human review.
7 records currently loaded
Records available in the current snapshot.
Earliest loaded signal
Introduced bill text posted
Posted Jan 28, 2026, 3:25 PM PST
Not a qualifying replacement
The introduced version remains the only adopted text; no qualifying replacement is established by the amendment history.
AI assessment dated 2026-09-29. This classification is separate from enactment and legal effect.
Evidence snapshot: 2026-09-29. Later legislative records are not automatically reassessed.
Policy purpose: broadly retained.
Reviewer: /root/review_recent_a · 2026-09-29
Not a qualifying replacement
The introduced version remains the only adopted text; no qualifying replacement is established by the amendment history.
Policy purpose: broadly retained.
“SECTION 1. ORS 743B.423 is amended to read: 5 743B.423. (1) All insurers offering a health benefit plan in this state that provide utilization re- 6 view or have utilization review provided on their behalf shall file an annual summary with the De- 7 partmen”
Introduced
“SECTION 1. ORS 743B.423 is amended to read: 5 743B.423. (1) All insurers offering a health benefit plan in this state that provide utilization re- 6 view or have utilization review provided on their behalf shall file an annual summary with the De- 7 partmen”
Introduced
Reviewer: /root/review_recent_b · 2026-09-29
Not a qualifying replacement
The only amendment is proposed and does not establish a changed bill.
Policy purpose: broadly retained.
“SECTION 1. ORS 743B.423 is amended to read: 5 743B.423. (1) All insurers offering a health benefit plan in this state that provide utilization re- 6 view or have utilization review provided on their behalf shall file a”
Introduced
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Selected document summary
Targeted changes
What the document says to change
On page 3 of the printed bill, after line 35, insert: 2 “(3) Notwithstanding ORS 243.
Official records (1)
Oregon records no individual sponsors.
Presession filing record
Introduced and printed pursuant to House Rule 12.00. Presession filed.
No deeper official pre-number history was found.
Records already listed in Activity are not repeated here.
Official origin records are incomplete; missing facts are not inferred.
7 events
Full timeline
7 entries shown.
In committee upon adjournment.
Public Hearing held.
Public Hearing
Heard · Agenda item 3 · Room HR G · Relating to downcoding
Amendment -1 proposed
Referred to Information Management and Technology.
First reading. Referred to Speaker's desk.
“Relating to downcoding”
Confirm with the official record.
Supplemental, source-linked analysis from project researchers and community contributors. It is separate from Oregon's official record.