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Social Prescribing Program Highlight: Kenji Health

December 4, 2024

This month, SPUSA is highlighting a company that’s bringing a fresh perspective to outcome measurement in the social prescribing movement. We sat down with Nora Hackmann, co-Founder and CEO of Kenji Health and a member of the Social Prescribing USA Community of Practice to learn more.

Watch Nora’s presentation to the Community of Practice here.

What is Kenji Health?

Kenji Health is an AI-powered platform designed to redefine how we measure and amplify health outcomes. Our evidence engine creates a seamless bridge between participants, healthcare providers, and community-based organizations.  Kenji Companion supports individuals by providing a personalized, interactive reflection space to stay engaged and connect more deeply with their wellbeing program. It’s easy-to-use, safe and designed to uplift. Kenji Compass is our insights platform for organizations. It delivers real-time insights, quantifying impact in a way that individuals, funders, and healthcare providers can trust.  

How does it relate to the field of social prescribing?

Social prescribing connects people with non-clinical community-based solutions – think arts, movement, and nature-based programs – to tackle mental and physical health issues at their roots. Kenji Health is the missing piece that makes these interventions stick. It amplifies the impact of social prescribing by giving organizations the tools to measure outcomes, map local resources, and personalize experiences. The result? A more efficient, scalable system that proves social prescribing isn’t just feel-good – it’s evidence-based and effective.

What gap in healthcare does it aim to address?

Kenji Health tackles the glaring disconnect between what works and what gets funded. Community-based interventions are powerful, but most organizations lack the resources or know-how to prove their impact. That’s where Kenji steps in. It arms these organizations with simple, powerful tools to demonstrate their value, turning anecdotal evidence into hard data. Kenji isn’t just filling a gap – it’s making holistic, community-driven care a viable player in the healthcare system.

What safety measures do you have in place to protect participants?

Kenji takes participant safety seriously – no shortcuts, no compromises. We have tested the AI companion and safety mechanisms in an ethics/IRB-reviewed academic research study. The platform is built on solid privacy foundations where interactions are encrypted and anonymized where possible, and designed with participant consent at the forefront. Our human-in-the-loop safety mechanism allows us to shift from AI to human conversations where concerning language is detected.

What have users reported about their experiences using Kenji compared to other forms of outcome measurement?

Users describe Kenji as empathetic and supportive, allowing them to stay optimistic and focused. Unlike one-directional, sometimes frustrating, surveys, Kenji delivers real-time insights with a human touch. 89% of participants said they preferred Kenji over a standardized wellbeing assessment survey and 80% believe data collected better reflects their wellbeing.  

Organizations highlight how Kenji streamlines their reporting, turning raw data into compelling stories and hard evidence that resonate with funders. For one organization it increased response rates by 60%. It’s not just another tool; it’s a complete reimagining of how impact is measured and communicated.

How do you envision Kenji Health or other AI tools contributing to the scalability of social prescribing in the US?

Scaling social prescribing in the US requires systems that are as smart as the programs they support. Kenji Health is that system. By automating measurement, streamlining reporting, and creating visibility into outcomes, Kenji makes social prescribing scalable, fundable, and sustainable. It eliminates the bottlenecks that have held this field back, giving healthcare providers the confidence and tools to prescribe holistic, non-clinical care at scale.

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