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.

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Participatory Design

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

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Prototype + Test

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

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Roll-Out

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.