Washington educational resource

Washington MHMDA for Sleep Tracking Apps: Sleep Stages and Apnea Inferences Are Consumer Health Data

Sleep tracking apps generate one of the densest streams of physiological data per night per user: stages (REM, deep, light, awake), heart rate trends, breathing rate, snoring audio, restless-movement scoring, oxygen saturation in some products, and the derived sleep score the app surfaces in the morning. Under , that record is consumer health data, full stop. The Washington My Health My Data Act reaches any personal information reasonably linkable to a consumer that identifies past, present, or future physical or mental health status, and explicitly extends to inferences derived from non-health information. A "possible sleep apnea" flag, an "insomnia pattern" tag, or a "circadian rhythm misaligned" alert is consumer health data even if the underlying inputs are accelerometer and microphone signals.

Sergei Tokmakov, Esq., California attorney
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What sleep data MHMDA reaches

The four MHMDA hooks for sleep apps

1. Separate Consumer Health Data Privacy Policy under . Sleep apps generally have one privacy policy that says "we collect sleep data" in a paragraph. That fails. The statute requires a standalone document with five substantive disclosures, including the categories of consumer health data collected, the purposes, the sources, the categories shared, the list of specific affiliates and categories of third parties, and the rights-exercise mechanism. The homepage link must be prominent and survive mobile collapse.

2. Two-layer consent under . Sleep apps often share with sleep-coaching marketplaces, mattress affiliate programs, sleep-aid supplement brands, and corporate-wellness employers. Each receiving entity needs a separate sharing consent on top of the collection consent. The sharing consent must disclose data categories, purpose and usage methods, receiving entities, and withdrawal mechanism. A bundled signup acceptance does not satisfy the sharing prong.

3. Microphone-recording disclosures. Apps that record audio for snoring detection are collecting one of the more sensitive data types. The recording itself can reveal household composition, language, distress signals, and (in some cases) speech content. The disclosure obligations under require listing this category explicitly, naming the purpose (snoring detection, apnea inference), naming third parties (cloud audio processor, AI inference vendor), and explaining retention. Audio that is fed to a third-party AI vendor without a binding processor contract under is a defensible per se violation candidate.

4. Employer and insurance sharing. Sleep apps integrated with corporate-wellness programs or insurance discount programs sit at the highest-risk intersection of MHMDA. The moment an employer or insurer receives derived inferences ("user is sleep-deprived," "high apnea risk"), the receiving entity is a third party that must be disclosed and consented to under and . If the sleep app receives consideration from the employer or insurer, the transfer is a "sale" under and requires the nine-element authorization under .

The per se CPA hook

converts any MHMDA violation into a per se CPA violation. Actual damages, discretionary treble damages capped at $25,000 on the enhancement, one-way attorney's fees under RCW 19.86.090, public-interest and unfair-or-deceptive elements declared by statute, four-year SOL under RCW 19.86.120. A single Washington user with a sleep-data complaint is a candidate plaintiff.

What I review when you send me a sleep-app matter

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Sergei's practical note

Sleep apps are higher-risk than the team usually assumes because the data is dense, continuous, sensitive (sleep audio in particular), and often shared downstream to coaches, employers, and ad partners. The apnea-inference angle is the part I look at first; an app that surfaces "possible apnea" or "high apnea risk" is generating a health-condition inference under and triggers the strongest part of the statute. Send the privacy policy, the consent flow, the vendor list, and a brief product description. Regulatory advisory work under California license; not Washington representation.

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Related Washington resources

For the full statutory walk-through, see my Washington My Health My Data Act resource. Self-assess via the Wellness App MHMDA Risk Checker. Adjacent verticals: wellness apps, fitness apps, meditation, and health coaching.

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.