Texas · Senate Bill · 2025 Regular Session
SB1822
Texas SB 1822 — Relating to the use of artificial intelligence-based algorithms in utilization review conducted for certain health benefit plans

Status ● Failed Effective N/A Passage Likelihood H

WHAT THIS BILL REGULATES · 2 REQUIREMENT TYPES

How Is This Bill Enforced

Enforcement Authority
Texas Department of Insurance, Commissioner of Insurance. Enforcement is agency-initiated; the Commissioner may require additional documentation or conduct inspections when there is reason to believe an issuer or utilization review agent is not in compliance. No private right of action is created.
Private Right of Action
No private right of action. Enforcement is exclusive to the designated authority.
Penalties
The bill does not specify monetary penalties, damages, or remedies. Enforcement is through the Commissioner's existing regulatory authority under the Insurance Code, including the power to require additional documentation and conduct inspections.

What This Bill Requires

Verbatim statutory text on the left; plain-language analysis and a per-section checklist on the right. Numbered markers cross-link to the matching checklist row.

Statutory Text
Analysis & Obligations
Ins. Code § 4201.156
Artificial Intelligence-Based Algorithms in Utilization Review
Deployer

(a) 1 An issuer of a health insurance policy or a health maintenance organization that is the issuer of a health benefit plan shall publish on a publicly accessible part of the issuer's Internet website and provide in writing to each insured or enrollee, and to any physician or health care provider contracting with the issuer or providing services to an insured or enrollee, a written disclosure regarding whether the issuer or the issuer's utilization review agent uses artificial intelligence-based algorithms in conducting utilization review.

(b)(1)–(2) 2 An issuer described by Subsection (a) or a utilization review agent for an issuer described by Subsection (a) shall ensure that any artificial intelligence-based algorithm used by the issuer or agent in conducting utilization review and the training data sets the algorithm uses: (1) have minimized the risk of bias based on an individual's race, color, religion, ancestry, age, sex, gender, national origin, or disability; and (2) comply with evidence-based clinical guidelines.

(c)(1)–(5) 3 Not later than December 31 of each year, an issuer described by Subsection (a) or a utilization review agent for an issuer described by Subsection (a) shall submit to the department for review, in the form and manner prescribed by the commissioner, an artificial intelligence compliance statement. The statement must: (1) summarize the function and scope of an artificial intelligence-based algorithm used for utilization review; (2) provide a logic or decision tree of an artificial intelligence-based algorithm used for utilization review; (3) provide a description of each training data set used by an artificial intelligence-based algorithm for utilization review, including the source of the data; (4) attest that the artificial intelligence-based algorithm and the algorithm's training data sets comply with Subsection (b); and (5) describe the issuer's or agent's process for overseeing and validating the artificial intelligence-based algorithm's performance and compliance with Subsection (b).

(d)(1)–(2) 4 If the commissioner has reason to believe that an issuer described by Subsection (a) or utilization review agent for an issuer described by Subsection (a) is not in compliance with this section, the commissioner may require additional documentation or conduct an inspection of: (1) any artificial intelligence-based algorithm used by the issuer or agent in conducting utilization review; and (2) each training data set the artificial intelligence-based algorithm uses.

(e) Information submitted to the department under this section is confidential and not subject to disclosure under Chapter 552, Government Code.

This section creates a new set of obligations for health insurance issuers and health maintenance organizations that use AI-based algorithms in utilization review. The disclosure obligation in subsection (a) is dual-channel: issuers must both publish on a public website and provide written notice to insureds, enrollees, and contracting providers about whether AI is used. Subsection (b) imposes substantive requirements on the algorithms themselves — bias minimization across enumerated protected characteristics and compliance with evidence-based clinical guidelines — extending to the training data sets as well.

Subsection (c) creates an annual regulatory reporting requirement: an artificial intelligence compliance statement submitted to the Texas Department of Insurance by December 31 each year, covering algorithm function, decision logic, training data descriptions, a bias-compliance attestation, and a description of the issuer's oversight and validation process. Subsection (d) authorizes the Commissioner to compel additional documentation or inspect algorithms and training data upon a reasonable belief of noncompliance. Subsection (e) shields all information submitted under this section from public records disclosure.

Compliance actions 4 items
1
Health insurance issuers and HMOs must publish on a publicly accessible website and provide in writing to each insured, enrollee, and contracting physician or health care provider a disclosure of whether the issuer or its utilization review agent uses AI-based algorithms in conducting utilization review.
HC-01.6
2
Health insurance issuers and their utilization review agents must ensure that any AI-based algorithm used in utilization review, and the algorithm's training data sets, (1) have minimized the risk of bias based on race, color, religion, ancestry, age, sex, gender, national origin, or disability and (2) comply with evidence-based clinical guidelines.
HC-01.4
3
Health insurance issuers and their utilization review agents must submit to the Texas Department of Insurance by December 31 of each year an AI compliance statement that (1) summarizes each AI algorithm's function and scope, (2) provides a logic or decision tree, (3) describes each training data set and its source, (4) attests to bias minimization and evidence-based clinical guideline compliance, and (5) describes the oversight and validation process.
R-02.1
4
Health insurance issuers and their utilization review agents must make their AI-based algorithms and training data sets available for additional documentation requests or inspection by the Commissioner of Insurance when the Commissioner has reason to believe the issuer or agent is not in compliance.
HC-01.7
TX SB 1822, Section 2
Effective Date

This Act takes effect September 1, 2025.

This section sets the effective date of the Act as September 1, 2025. Because the bill was left pending in committee and did not advance, this provision is moot.

Passage Likelihood

Failed
Status Failed
Final action Left pending in committee

Legislative History

2025-03-03 Received by the Secretary of the Senate
2025-03-03 Filed
2025-03-13 Read first time
2025-03-13 Referred to Health & Human Services
2025-03-18 Scheduled for public hearing on . . .
2025-03-18 Considered in public hearing
2025-03-18 Testimony taken in committee
2025-03-18 Left pending in committee
2025-03-26 Considered in public hearing
2025-03-26 Vote taken in committee
2025-03-31 Reported favorably as substituted
2025-03-31 Committee report printed and distributed
2025-04-01 Placed on intent calendar
2025-04-09 Rules suspended-Regular order of business
2025-04-09 Record vote
2025-04-09 Read 2nd time & passed to engrossment
2025-04-09 Three day rule suspended
2025-04-09 Read 3rd time
2025-04-09 Passed
2025-04-09 Reported engrossed
2025-04-10 Received from the Senate
2025-04-22 Read first time
2025-04-22 Referred to Insurance
2025-05-07 Scheduled for public hearing on . . .
2025-05-07 Considered in public hearing
2025-05-07 Testimony taken/registration(s) recorded in committee
2025-05-07 Left pending in committee

Entry Last Reviewed

2026-05-10
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