Massachusetts · House Bill · 194th General Court (2025–2026)
HB1210
An Act relative to AI health communications and informed patient consent

Status ● Introduced Effective N/A Passage Likelihood L

WHAT THIS BILL REGULATES · 3 REQUIREMENT TYPES

How Is This Bill Enforced

Enforcement Authority
No enforcement mechanism or penalties are specified in the bill text. Section 1 amends the patient rights statute (G.L. c. 111, § 70E), which has its own existing enforcement framework. Section 2 and Section 3 amend the managed care statute (G.L. c. 176O), enforced by the Division of Insurance.
Private Right of Action
No private right of action. Enforcement is exclusive to the designated authority.
Penalties
The bill does not specify penalties, remedies, or damages. Enforcement would fall under the existing frameworks of G.L. c. 111, § 70E (patient rights) and G.L. c. 176O (managed care organization regulation by the Division of Insurance).

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
G.L. c. 111, § 70E(b ½)
Patient right to disclosure of AI-generated health information
Deployer

(b) to confidentiality of all records and communications to the extent provided by law;

(b ½) 1 (b ½) to be informed, if the information they are receiving either verbally or in writing has been generated by artificial intelligence, and to be provided with instructions about how to contact a human healthcare provider in the event that such information was not previously reviewed and approved by their provider;

This section creates a new patient right in the Massachusetts patients' bill of rights. Patients must be told when health information they receive — whether verbal or written — has been generated by artificial intelligence. When such AI-generated information was not previously reviewed and approved by the patient's provider, the patient must also receive instructions for contacting a human healthcare provider. The obligation runs to whoever delivers the information under the existing § 70E framework, which applies broadly to healthcare facilities.

Compliance actions 1 item
1
Healthcare facilities must inform patients when health information they receive — verbally or in writing — has been generated by artificial intelligence, and must provide instructions for contacting a human healthcare provider when the AI-generated information was not previously reviewed and approved by their provider.
T-01.1
G.L. c. 176O, § 6(9 ½)
Carrier disclosure of AI use in claims review
Deployer

(9 ½) 2 (9 ½) a disclosure if artificial intelligence algorithms or automated decision tools are being utilized or will be utilized in the claims review process, such a disclosure must include a summary of what tools are being used and how they are being used throughout the claims review process;

This section adds a new disclosure requirement to the managed care consumer information provisions. Health insurance carriers must disclose to insureds whether AI algorithms or automated decision tools are being used or will be used in the claims review process. The disclosure must include a summary of the specific tools being used and an explanation of how they are deployed throughout claims review. This is a consumer-facing transparency obligation, distinct from the regulator-facing filing obligation in Section 3.

Compliance actions 1 item
2
Health insurance carriers must disclose to insureds whether AI algorithms or automated decision tools are used in the claims review process, including a summary of what tools are used and how they are used throughout claims review.
HC-01.6
G.L. c. 176O, § 12(g)
Annual carrier submission of AI utilization review details and bias attestation
Deployer

(g) 3 A carrier shall submit to the division of insurance, no later than December 31 each year, a form to be prescribed by the division, which shall detail the artificial intelligence algorithms and data training sets that are currently being used or will be used in the utilization review process by the carrier. A carrier shall also submit an attestation, in a manner and form prescribed by the division, that such algorithms and training data sets have minimized the risk of bias based on the covered person's race, color, religious creed, ancestry, age, sex, gender, national origin, handicap or disability, and adhere to evidence-based clinical guidelines.

This section imposes two distinct regulatory-filing obligations on health insurance carriers. First, carriers must annually submit to the Division of Insurance a prescribed form detailing the AI algorithms and data training sets used or planned for use in utilization review. Second, carriers must submit an attestation — also in a form prescribed by the Division — certifying that their algorithms and training data have minimized bias risk based on protected characteristics (race, color, religious creed, ancestry, age, sex, gender, national origin, handicap, or disability) and adhere to evidence-based clinical guidelines. The annual deadline is December 31.

Compliance actions 1 item
3
Carriers must annually submit to the Division of Insurance by December 31 a prescribed form detailing AI algorithms and data training sets used or planned for use in utilization review, together with an attestation that such algorithms and training data have minimized bias risk across protected characteristics and adhere to evidence-based clinical guidelines.
R-02.1

Passage Likelihood

Low
Status Introduced
Chamber No passage
Committee No action
Majority party No
Bipartisan No
Prior session None

Legislative History

2025-02-27 Referred to the Joint Committee on Financial Services
2025-02-27 Senate concurred
2025-07-03 Hearing scheduled for 07/15/2025 from 10:00 AM-01:00 PM in A-2
2025-10-20 Hearing scheduled for 07/15/2025 from 10:00 AM-01:00 PM in A-2
2026-02-09 Accompanied a study order, see H5066

Entry Last Reviewed

2026-05-20
AI generated