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Bridging AI and Primary Care: AI-assisted Health System Integration Model for the Inclusion App article
In this article, Michael Oduor, Kaisa Lällä, Minna Eriksen, Katariina Korniloff, and Kari-Pekka Murtonen present how an AI-powered rehabilitation model was developed to support primary health care in Rwanda. You will learn how the digital Inclusion App enables community health workers to provide more efficient and accessible rehabilitation services, especially in rural areas.
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This article teaches you how artificial intelligence and digital solutions can be leveraged to develop and expand primary care rehabilitation services. You will discover how community health workers use the app to deliver personalized exercise programs for common musculoskeletal conditions and the needs of the elderly. The article describes how this digital model improves service accessibility, reduces costs, and strengthens both the skills and sense of community among health workers. You will also learn how AI-assisted rehabilitation can be integrated into primary care and what impacts it has on equality and scalability.
The article is especially useful for professionals working in health care, rehabilitation, and digital solutions, as well as for developers and decision-makers seeking ways to improve service accessibility and cost-effectiveness.
Estimated reading time: 7–10 minutes.
This article is part of AIRe Platform, aimed to develop, together with innovation partners, an open-source, AI-powered digital solution for self-driven rehabilitation service user. The project is funded by Business Finland.
The article is published in the professional online magazine Jamk Arena Pro of Jamk University of Applied Sciences.
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Engelska
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Jyväskylä yrkeshögskola