Behavioral health data + AI
I recently read an interesting article about behavioral health informatics, privacy and AI, and it reinforced something that is becoming increasingly important: AI adoption in health care is accelerating, but privacy and governance maturity does not always grow at the same pace.
Behavioral and psychological data deserve particular attention because they often reveal some of the most sensitive information about a person: mental health conditions, psychotherapy content, suicidal ideation, psychosis, substance-use treatment, family context and deeply personal narratives.
Photo: magnific
The article highlights that behavioral health has been dealing with difficult questions around privacy, consent, trust and sensitive documentation for many years, long before today’s AI boom.
One example is record segmentation. Organization can use different levels of restricted access, described as “behind the wall” and “behind the glass.”
In this case, the real question is whether the entire processing environment is designed and governed in a way that reflects the sensitivity of behavioral health data. When AI records a psychotherapy session, a clinician uses a chatbot to summarize notes, or an AI assistant processes psychiatric documentation, organizations need a clearly defined governance model covering the full data lifecycle.
In the EU, such processing should be assessed primarily under GDPR, with particular attention to special-category health data. Depending on the AI use case, the A Act may add further obligations related to risk classification, transparency, governance, human oversight and documentation.
In the US, the compliance model is more fragmented. Depending on the organization, data type and service model, HIPAA, FTC requirements, state privacy laws, state health-data laws and AI-specific legislation may apply simultaneously. The article gives a very concrete example from Colorado, where a new psychotherapy AI law requires written informed consent before AI records or transcribes a session. That seemingly simple requirement has significant workflow consequences, especially when around 80% of visits are virtual.
This is why awareness and education should comes first. More and more doctors, psychologists, psychotherapists and healthcare professionals are using AI tools. But I am not convinced that everyone fully understands the regulatory environment around them.
Author: Sebastian Burgemejster
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