Washington educational resource

OpenAI, Anthropic, and downstream AI APIs are processors under MHMDA. The default API terms usually do not satisfy.

requires a binding contract between a regulated entity and any processor that handles consumer health data. The contract must set the processing instructions, limit the actions the processor may take, obligate the processor to assist with the regulated entity's obligations, and provide that a processor that strays outside instructions converts into a regulated entity for the data at issue. For AI products, every external API that touches a Washington prompt is a processor: the model provider, the transcription service, the sentiment-analysis service, the human-handoff platform, and the analytics SDK vendor. Standard click-through API terms rarely satisfy the section on their face. A written processor addendum, a vendor MHMDA-aware addendum, or an enterprise-tier contract that meets the requirements is needed.

The statutory anchor under RCW 19.373.060

states that a processor may process consumer health data only pursuant to a binding contract that sets the processing instructions and limits the actions the processor may take. The processor must assist the regulated entity with technical and organizational measures, insofar as possible, in fulfilling the regulated entity's obligations. A processor that fails to adhere to the regulated entity's instructions, or that processes consumer health data outside the contract's scope, is treated as a regulated entity for that data. The result of straying outside the contract is bilateral risk: the processor takes on full MHMDA obligations for the data, and the regulated entity faces a derivative violation.

Five AI vendor categories that need MHMDA-tuned processor contracts

1. Foundation-model providers. OpenAI, Anthropic, Azure OpenAI, Google (Vertex/Gemini), AWS Bedrock, and any inference-as-a-service vendor. The default consumer API tier typically permits the provider to retain submitted data for abuse monitoring and may permit training-data use. The compliant configurations are: an enterprise tier or zero-data-retention addendum that prohibits training and limits retention; or a written addendum tailored to MHMDA that addresses processing instructions, training prohibition, retention limits, and assistance obligations.

2. Transcription and speech-to-text vendors. If an AI mental-health chatbot accepts voice input or an AI fitness coach processes audio commands, the transcription vendor is processing consumer health data on the regulated entity's behalf. The vendor needs a binding contract with the same elements.

3. Sentiment, emotion, or classification vendors. Any specialized API that scores user inputs for sentiment, emotion, or health-related categories is a processor. The classification output is consumer health data, which makes the vendor's processing high-touch.

4. Human-handoff platforms. For mental-health chatbots, the platform that connects users to live counselors or hotlines is a processor (or, depending on the relationship, a third-party recipient triggering the sharing consent). The processor contract must specify what data is transmitted, how it is used, what retention applies, and how consumer rights are honored.

5. Analytics and observability platforms. Mixpanel, Amplitude, GA4, Datadog, Sentry, or any platform that may observe inferred-health data in event payloads is processing consumer health data on the regulated entity's behalf. The standard SaaS DPA typically does not address MHMDA on its face; a custom addendum is often needed.

Eight provisions the MHMDA-tuned processor addendum must include

What I check on the vendor stack in operator-side reviews

The conversion-to-regulated-entity risk for vendors

The most-overlooked feature of is its conversion rule. A processor that fails to follow instructions or processes data outside the contract's scope is treated as a regulated entity for that data. This creates a direct MHMDA enforcement pathway against the vendor, separate from the regulated entity's own exposure. Vendors that hold themselves out as MHMDA-aware (zero-data-retention configurations, MHMDA addenda) are responding to this risk. Vendors that have not addressed MHMDA on their public-facing terms are an audit risk for any AI health tool using them as a processor.

The $900 memo tier is built for vendor-stack reviews

The $900 MHMDA memo tier delivers the scope memo plus drafted DPA and vendor-contract language. For AI health products with three or more external APIs in the stack, this tier is usually the right fit. The $1,500 tier adds the drafted standalone Consumer Health Data Privacy Policy. Send me your vendor list, the current DPA template, the model-provider contract or enterprise-tier confirmation, and a brief description of the data flow. The $125 written email evaluation is the right starting point.

Sergei's practical note

The vendor and processor contract gap is where I expect to find the most exposure on AI health tool reviews. Founders configure the application against the default vendor tier, never read the vendor's published DPA, and assume the click-through terms cover them. needs a binding contract with named processing instructions and assistance obligations; default click-through terms usually do not satisfy. The conversion rule means a non-compliant vendor stack creates exposure on both sides of the contract.

Educational resource. Sergei Tokmakov is a California attorney (CA Bar #279869) currently seeking admission to the Washington State Bar. Nothing on this page creates an attorney-client relationship or is Washington legal advice. Related: MHMDA for AI Health Tools cluster hub; AI health data privacy policy; AI health tool consent flow; AI Health Tool MHMDA Analyzer.