NY A09149: Provides for notice requirements where an insurer authorized to write accident and health insurance in this state, a corporation organized pursuant t…
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Provides for notice requirements where an insurer authorized to write accident and health insurance in this state, a corporation organized pursuant to article forty-three of this chapter, or a health maintenance organization certified pursuant to article forty-four of the public health law uses…
AI Summary
This bill mandates insurers to notify insureds about the use of AI in utilization reviews and requires submission of AI algorithms to the department.
If you are an insurer using AI for utilization reviews in New York, you must notify insureds and submit AI algorithms by the effective date or face penalties.
State
New York
Bill Number
A09149
Status
Introduced
Risk Level
High
Category
Comprehensive
Effective Date
Apr 8, 2024
Last Action
Feb 8, 2024
Last Verified
May 1, 2026
Data Updated
May 4, 2026
What do these statuses mean?▼
Introduced— Filed in the legislature; not yet heard in committee
In Committee— Assigned to and being reviewed by a legislative committee
Passed— Approved by one or both chambers; awaiting further action
Signed / Enacted— Signed into law by the governor; may or may not be in effect yet
Dead / Vetoed— Vetoed, failed to pass, or session expired without action
Unknown— Status data not yet available or awaiting classification
New York's A09149 bill introduces notification requirements for insurers using artificial intelligence in utilization reviews. It mandates transparency about AI algorithms and their training data, aiming to minimize bias. Insurers and health organizations must comply to avoid penalties determined by the superintendent.
Key Provisions
Insurers must notify insureds about AI usage in utilization reviews on their websites.
Submission of AI algorithms and training data sets to the department is required.
The department will certify algorithms to minimize bias based on various demographics.
Clinical peer reviewers must document individual clinical records before adverse determinations.
Penalties for non-compliance include fines and potential license suspension or revocation, determined by the superintendent.
The superintendent will create necessary rules for implementation.
Latest Legislative Action
referred to insurance
Bill Sponsors
Name
Role
District
Pamela HunterD
Sponsor
HD-128
Compliance Checklist
Notify insureds about AI usage in utilization reviews on your website Who: Insurers and health maintenance organizations Deadline: By the effective date of the bill Penalty: Fines up to $10,000 for willful violations
Submit AI algorithms and training data sets to the department Who: Insurers and health maintenance organizations Deadline: By the effective date of the bill Penalty: Fines and potential license suspension
The A09149 bill requires insurers authorized to write accident and health insurance in New York, as well as health maintenance organizations, to disclose their use of artificial intelligence-based algorithms in the utilization review process. Insurers must notify insureds about the use or lack of AI in their processes on their websites. Additionally, they are required to submit the AI algorithms and training data sets to the department, which will certify that these algorithms minimize bias and adhere to clinical guidelines. Compliance is mandatory for all relevant insurers and health organizations, effective 60 days after the bill becomes law. The penalties for non-compliance, determined at the discretion of the superintendent in consultation with the commissioner of health and the commissioner of education, include fines up to $10,000 for willful violations, license suspensions, and potential revocation of licenses, which could significantly impact operations. Key definitions in the bill clarify what constitutes an 'artificial intelligence-based algorithm' and outline the roles of clinical peer reviewers in the utilization review process. This bill aligns with a growing trend in other states to regulate the use of AI in healthcare, focusing on transparency and accountability to protect consumers from potential biases in automated decision-making.
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