Naima Health develops personalized health interventions using behavioral decision science and machine learning to enhance patient engagement in clinical care. Their tools, such as the MyHealthyPregnancy platform, provide tailored risk assessments and support for at-risk women, improving health outcomes through data-driven insights.
Funding
$200K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many at-risk pregnant women lack access to personalized support and risk assessments, leading to poorer health outcomes for both mother and child. Existing pregnancy support tools often fail to account for individual-level factors and sociocultural contexts, limiting their effectiveness in engaging and supporting these women.
Solution
Naima Health develops custom health interventions using behavioral decision science and machine learning to enhance patient engagement in clinical care, specifically targeting at-risk pregnant women. Their MyHealthyPregnancy (MHP) platform delivers personalized pregnancy risk assessments and tailored support by combining individual-level input, statistical machine learning, and user-centered design. The platform aims to improve outcomes for at-risk women by providing engaging and effective tools that address their specific needs and circumstances. Naima Health employs expert research, participatory design, and rigorous clinical studies to validate and implement their interventions.
Target Audience
The primary target audience includes at-risk pregnant women and healthcare providers seeking to improve pregnancy outcomes through personalized and data-driven interventions.
Features
- Personalized pregnancy risk assessments based on individual-level input and machine learning.
- User-centered design that incorporates patient preferences and sociocultural contexts.
- Predictive models developed using scientific literature, expert judgments, and machine learning.
- Engaging and effective tools designed to support at-risk pregnant women.
- Rigorous clinical studies to validate the effectiveness of interventions.