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Afya Gemma using AI to Enhance Clinical Decision-Making in Kenya

Afya Gemma using AI to Enhance Clinical Decision-Making in Kenya

Afya Gemma, an AI-powered clinical decision support platform developed by Aga Khan University Data Innovation Office, has been selected for 2025  Google.org  accelerator to advance AI powered health care in Kenya.

The platform integrates anonymized health records from a Kenyan Electronic Health Record (EHR) repository enabling clinicians to make more informed decisions via natural language queries.

“We’re honoured to join the 2025 Google.org Accelerator,” said Farhana Alarakhiya, Chief Data Innovation Officer, Aga Khan University and Principal Investigator for Afya Gemma. “In Kenya, just over 10,000 doctors serve more than 52 million people, leaving vast gaps in access to specialist expertise, particularly in rural and underserved communities. Afya Gemma was built to help close this gap.”

According to Kenyan business and tech news site BusinessTech, Afya Gemma will receive a share of $30M alongside six months of support, training, and Google Cloud credits.

With the support, it will scale its efforts to equip clinicians across Kenya with real-time, evidence-based guidance tailored to local healthcare realities.These will make clinical knowledge accessible to frontline healthcare workers in English and Swahili.

With the 2025 Google.org Accelerator: Generative AI support, the team will accelerate the localization and refinement of the model and reach more remote clinics.

Afya Gemma will be deployed in 40 facilities across the extensive network of Aga Khan University Hospital (AKUH) and Aga Khan Health Services (AKHS) facilities focusing on bridging the research-practice gap and enhancing care quality through AI. 

Clinicians across the world need real-time, evidence-based guidance to help them make healthcare decisions. Evidence-based practice and decision-making have been consistently linked to improved quality of care, patient safety, and many positive clinical outcomes in various cases.

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