Texas' new AI law raises the compliance bar for healthcare AI

The Texas Responsible Artificial Intelligence Governance Act (TRAIGA), also known as HB 149, took effect on January 1, 2026, making Texas the second state after Colorado to pass comprehensive AI regulation — and the first with a specific, hard disclosure requirement for healthcare.

What the law requires

Under TRAIGA, healthcare providers must give patients or their personal representatives conspicuous written disclosure whenever an AI system is used in diagnosis or treatment, with that disclosure required before or at the time of the clinical interaction — with a narrow exception for emergencies, according to Perkins Coie's analysis of the law.

Texas Health & Safety Code § 183.005 adds a second layer: licensed practitioners must personally review any AI-generated diagnostic output and retain final clinical authority — AI can inform a diagnosis, but it cannot be the diagnosis of record, per Gardner Law's review of TRAIGA's medical AI provisions.

Who it applies to

TRAIGA's reach is broad by design: any individual or organization that conducts business in Texas, offers products or services to Texas residents, or develops or deploys AI systems within the state must comply — not just Texas-headquartered companies, according to Norton Rose Fulbright's summary of the Act. Becker's Hospital Review has documented how Texas health systems are operationalizing the disclosure requirement in practice.

The broader pattern

TRAIGA isn't an isolated state law — it's part of a fast-forming patchwork. Multiple states are now drafting similar disclosure and governance rules for patient-facing AI, meaning a compliance approach built for one state's requirements is unlikely to be sufficient for long.

What this means for healthcare organizations

Any healthcare provider using AI in diagnosis, treatment, or clinical decision support — whether or not they're based in Texas — should treat conspicuous disclosure and human review-of-record as baseline requirements, not Texas-specific edge cases. Explore Cor Advance Solutions' healthcare industry solutions for how AI systems get built with this kind of governance and human-in-the-loop review from day one.