No items found.
No items found.
No items found.
No items found.
No items found.

The physician's guide to Texas AI disclosure laws

Law requires Texas physicians to tell patients about AI use

Reporter logo

The physician's guide to Texas AI disclosure laws

Law requires Texas physicians to tell patients about AI use

Legislation passed in 2025 established disclosure rules for Texas physicians who use artificial intelligence (AI) when seeing patients. The Texas Responsible AI Governance Act requires health care professionals to inform patients when AI is used in treatment, no later than the date of service or as soon as reasonably possible in emergencies. Disclosures must be clear, conspicuous, and in plain language.

This law must be followed alongside existing HIPAA requirements. 1

Clear disclosures of AI use should include:

  • a description of the AI tools being used;
  • how the tools are used, noting that health care professionals must review the AI outputs before acting on them;
  • the data — including PHI — being accessed and processed and how it will be protected; and
  • a way for patients to ask questions or raise concerns about the AI use. 2

Sample AI disclosure statements

To help develop disclosures that are “clear, conspicuous, and written in plain language,” consider the following sample disclosure statements. Any disclosure language should be adapted to fit your practice and specific use of AI.

You may wish to consult an attorney if your use of AI is complex or if you need assistance developing disclosure language.

‍

Sample AI disclosure — Ambient scribes

“[Practice name] uses generative AI transcription technology to generate medical notes and update a patient’s medical chart in real-time. Natural language processing allows the transcription software to analyze and dictate human conversations as they occur, similar to a physician’s scribe. If a patient opts in to this feature, the technology can be used during or after the patient’s visit when a doctor prepares after-visit summaries and updates a patient’s chart.

Data collected can help staff recommend ICD-10 codes for medical billing purposes and can be integrated into a patient’s electronic health record. The attending provider must review the transcription for quality assurance purposes before the notes are added to the patient’s medical chart. The vendor is HIPAA compliant and uses two-factor authentication to prevent unauthorized access.

If you would like to use this feature, you must opt in here. Patients must provide consent for this feature on an annual basis.” 3

‍

Sample AI disclosure — Diagnostic and imaging tools

“The findings and impressions of the radiology report you will receive are those of the interpreting radiologist. Your radiologist may use artificial intelligence (AI) software as a supportive tool during the interpretation process. This does not replace the radiologist, who is responsible for reading your images. The AI software we use complies with HIPAA privacy and security requirements to protect your health information.

This disclosure is provided in accordance with Texas law to ensure transparency about technologies used in your care. If you have questions about how AI is used in interpreting your imaging studies, please contact us at [contact information.]” 4‍

‍

Sample AI disclosure — Multiple tools

“At [Practice Name], we are committed to providing you with the best possible treatment. To help us manage our practice efficiently and enhance our services, we use technology, including certain artificial intelligence (AI) tools.

This document explains how we use these tools and asks for your consent to use them as part of your treatment. Your privacy, confidentiality, and the quality of your treatment remain our highest priorities.” 5


Sources
  1. Pierce A. Physicians must disclose use alongside existing HIPAA requirements, per state laws. Texas Medical Association. December 30, 2025. Available at https://www.texmed.org/TexasMedicineDetail.aspx?id=67060. Accessed October 14, 2026.
  2. Good C. Sample patient consent form for using artificial intelligence for dictation, transcription. Medical Group Management Association. April 2, 2024. Available at https://www.mgma.com/member-tools/sample-patient-consent-form-for-using-ai#. Accessed October 14, 2026.
  3. Bloomberg Law. Patient opt-in consent form (generative AI). Available at https://www.bloomberglaw.com/external/document/XF6H2E20000000/health-care-transactions-sample-document-patient-opt-in-consent-. October 14, 2026
  4. Glenning J, Gualtieri L. Patient perspectives on artificial intelligence in medical imaging. J Particip Med. 2025 Jul 28;17:e67816. doi: 10.2196/67816. PMID: 40720822; PMCID: PMC12304780. Available at https://pmc.ncbi.nlm.nih.gov/articles/PMC12304780/. Accessed October 14, 2026.
  5. Simple Practice. How to inform clients about using AI notes in your practice. July 11, 2025. Available at https://www.simplepractice.com/resource/inform-clients-using-ai-notes/. Accessed October 14, 2026.
By
Laura Hale Brockway
October 14, 2026

Disclaimer

Legislation passed in 2025 established disclosure rules for Texas physicians who use artificial intelligence (AI) when seeing patients. The Texas Responsible AI Governance Act requires health care professionals to inform patients when AI is used in treatment, no later than the date of service or as soon as reasonably possible in emergencies. Disclosures must be clear, conspicuous, and in plain language.

This law must be followed alongside existing HIPAA requirements. 1

Clear disclosures of AI use should include:

  • a description of the AI tools being used;
  • how the tools are used, noting that health care professionals must review the AI outputs before acting on them;
  • the data — including PHI — being accessed and processed and how it will be protected; and
  • a way for patients to ask questions or raise concerns about the AI use. 2

Sample AI disclosure statements

To help develop disclosures that are “clear, conspicuous, and written in plain language,” consider the following sample disclosure statements. Any disclosure language should be adapted to fit your practice and specific use of AI.

You may wish to consult an attorney if your use of AI is complex or if you need assistance developing disclosure language.

‍

Sample AI disclosure — Ambient scribes

“[Practice name] uses generative AI transcription technology to generate medical notes and update a patient’s medical chart in real-time. Natural language processing allows the transcription software to analyze and dictate human conversations as they occur, similar to a physician’s scribe. If a patient opts in to this feature, the technology can be used during or after the patient’s visit when a doctor prepares after-visit summaries and updates a patient’s chart.

Data collected can help staff recommend ICD-10 codes for medical billing purposes and can be integrated into a patient’s electronic health record. The attending provider must review the transcription for quality assurance purposes before the notes are added to the patient’s medical chart. The vendor is HIPAA compliant and uses two-factor authentication to prevent unauthorized access.

If you would like to use this feature, you must opt in here. Patients must provide consent for this feature on an annual basis.” 3

‍

Sample AI disclosure — Diagnostic and imaging tools

“The findings and impressions of the radiology report you will receive are those of the interpreting radiologist. Your radiologist may use artificial intelligence (AI) software as a supportive tool during the interpretation process. This does not replace the radiologist, who is responsible for reading your images. The AI software we use complies with HIPAA privacy and security requirements to protect your health information.

This disclosure is provided in accordance with Texas law to ensure transparency about technologies used in your care. If you have questions about how AI is used in interpreting your imaging studies, please contact us at [contact information.]” 4‍

‍

Sample AI disclosure — Multiple tools

“At [Practice Name], we are committed to providing you with the best possible treatment. To help us manage our practice efficiently and enhance our services, we use technology, including certain artificial intelligence (AI) tools.

This document explains how we use these tools and asks for your consent to use them as part of your treatment. Your privacy, confidentiality, and the quality of your treatment remain our highest priorities.” 5


Sources
  1. Pierce A. Physicians must disclose use alongside existing HIPAA requirements, per state laws. Texas Medical Association. December 30, 2025. Available at https://www.texmed.org/TexasMedicineDetail.aspx?id=67060. Accessed October 14, 2026.
  2. Good C. Sample patient consent form for using artificial intelligence for dictation, transcription. Medical Group Management Association. April 2, 2024. Available at https://www.mgma.com/member-tools/sample-patient-consent-form-for-using-ai#. Accessed October 14, 2026.
  3. Bloomberg Law. Patient opt-in consent form (generative AI). Available at https://www.bloomberglaw.com/external/document/XF6H2E20000000/health-care-transactions-sample-document-patient-opt-in-consent-. October 14, 2026
  4. Glenning J, Gualtieri L. Patient perspectives on artificial intelligence in medical imaging. J Particip Med. 2025 Jul 28;17:e67816. doi: 10.2196/67816. PMID: 40720822; PMCID: PMC12304780. Available at https://pmc.ncbi.nlm.nih.gov/articles/PMC12304780/. Accessed October 14, 2026.
  5. Simple Practice. How to inform clients about using AI notes in your practice. July 11, 2025. Available at https://www.simplepractice.com/resource/inform-clients-using-ai-notes/. Accessed October 14, 2026.
By
Laura Hale Brockway
October 14, 2026

Disclaimer

Want to save this article for later?

Download the full issue as a PDF for future reference or to share with colleagues.

Monthly NewsLetter

Subscribe to Case Closed to receive insights from resolved cases.

You’ll receive two closed claim studies every month. These closed claim studies are provided to help physicians improve patient safety and reduce potential liability risks that may arise when treating patients.