Naima Health develops health tools using behavioral decision science and machine learning to engage patients in their clinical care.

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Expert Research

We draw on scientific literature, elicit expert judgments, and employ machine learning to create predictive models.


Participatory Design

We work alongside our target audience to ensure that their preferences and sociocultural contexts are honored.


Prototype + Test

We design and prototype interventions and tools that support patients. We perform rigorous clinical studies to validate our work.



We work with our partners to implement the newly-designed interventions, tools and systems, and make policy recommendations.


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Case Study: MyHealthyPregnancy

MyHealthyPregnancy (MHP) combines individual-level input, statistical machine learning, and user-centered design to deliver a personalized, engaging, and effective pregnancy risk assessment and support tool with specific focus on improving outcomes for the most at-risk women.