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Jamk University of Applied Sciences

Bridging AI and Primary Care: AI-assisted Health System Integration Model for the Inclusion App

Michael Oduor, Kaisa Lällä, Minna Eriksen, Katariina Korniloff, and Kari-Pekka Murtonen present an AI-assisted integration model aimed at improving access to rehabilitation in Rwanda’s primary healthcare. Building on the Inclusion App, the approach combines digital tools with artificial intelligence to make community rehabilitation more accessible, scalable, and efficient.

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Rehabilitation in Rwanda remains limited to higher-level facilities, leaving rural populations underserved. To address this, the Inclusion App has enabled community health workers (CHWs) to deliver basic rehabilitation since 2023, benefiting over 13,000 people and reducing costs significantly.

To overcome remaining challenges such as limited expertise and irregular follow-up, the team introduced the AIRe platform, which integrates AI into the health system. AIRe consists of AIre Talk, a conversational tool for users providing personalized guidance, and AIRe Hub, which lets professionals customize content easily without coding. The system supports continuous learning and culturally relevant communication, including Kinyarwanda.

Pilot testing showed that AIRe is easy to use, accurate, and empowering for CHWs, helping them provide immediate, reliable advice for conditions like arthritis, back pain, and mental health concerns. The model emphasizes interoperability and equity to prevent technology-driven inequalities, offering a blueprint for sustainable rehabilitation integration in low-resource settings.

This approach is relevant for healthcare innovators, digital health developers, and policy professionals focused on inclusive, AI-driven care. Estimated reading time: 7–9 minutes.

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Health and welfare

Information and communication technologies

Social sciences

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English

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Jamk University of Applied Sciences

Jamk University of Applied Sciences

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Health and well-being

Global diversity and equality

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New technologies