MinoHealth AI Labs and Rivia Clinics Partner to Expand AI-Powered Healthcare in Ghana
Under the collaboration, Rivia Clinics has deployed Moremi AI to support two key clinical workflows: clinical decision support, which helps clinicians identify potential medical errors and improve decision-making, and AI-generated clinical reports, which automatically produce structured clinical documentation to reduce administrative workload and improve efficiency.
MinoHealth AI Labs has entered into a strategic partnership with Rivia Clinics to advance the adoption of artificial intelligence in healthcare delivery across Ghana.
Under the collaboration, Rivia Clinics has deployed Moremi AI to support two key clinical workflows: clinical decision support, which helps clinicians identify potential medical errors and improve decision-making, and AI-generated clinical reports, which automatically produce structured clinical documentation to reduce administrative workload and improve efficiency.
The partners also plan to expand the deployment of Moremi AI to additional clinical use cases as part of their broader effort to integrate AI into routine healthcare services.
According to MinoHealth AI Labs, the initiative is designed to allow healthcare professionals to spend less time on documentation and more time providing quality patient care. The company said the partnership aligns with its mission of using responsible generative AI to improve access to quality healthcare across Africa.
MinoHealth AI Labs also thanked the leadership of Rivia Clinics, including Co-Founder and Chief Executive Officer Isidore Kpotufe, Co-Founder and Chief Technology Officer Victor Nara, and Medical Director Dr. Isaac J. K. Biney, for their collaboration and shared commitment to improving clinical workflows, enhancing patient safety and delivering better health outcomes.
The partnership reflects the growing adoption of AI-powered clinical tools across Africa as healthcare providers seek to improve efficiency, reduce administrative burdens and support more informed clinical decision-making.

