Ghanaian hospitals warned over use of AI tools trained on foreign data

Ghanaian healthcare facilities are increasingly integrating artificial intelligence (AI) into their diagnostic processes, sparking concerns among medical experts regarding the reliability of these tools. While AI offers significant potential to improve outcomes in low-resource medical settings, many of the algorithms currently in use were developed using data from foreign populations rather than local patient sets. This reliance on non-local data raises critical questions about the accuracy and effectiveness of these technologies when applied to Ghanaian patients, whose genetic, demographic, and environmental factors may differ from the original training datasets.

The primary concern highlighted by experts lies in the governance and accountability of AI-driven medical tools within the country. Currently, there is a significant gap in regulatory oversight to monitor how these technologies are deployed and maintained in the clinical environment. Without proper local validation, there is a risk that AI systems could provide inaccurate diagnoses or treatment recommendations that do not align with the specific needs of the local population. Furthermore, the absence of a robust framework leaves a vacuum regarding who is held responsible when a machine-led diagnosis results in clinical error.

Despite these risks, the integration of AI has already shown a positive impact on healthcare delivery by assisting clinicians in environments where specialists are in short supply. In many rural and under-resourced clinics, AI tools serve as a vital support system for primary healthcare providers. However, stakeholders emphasize that to harness these benefits safely, the government must establish a comprehensive regulatory framework. This would mandate that all medical AI software undergoes rigorous testing against local data to ensure it is both suited to the Ghanaian context and scientifically accountable.

As the digital transformation of Ghana’s health sector continues, the focus must shift toward ensuring that technological advancements do not outpace safety and ethical standards. Moving forward, there is a call for the Ghana Health Service and other regulatory bodies to collaborate with technology developers to create a transparent system of validation. By prioritizing locally relevant data and clear governance, the country can ensure that its adoption of AI enhances patient care and diagnostic integrity rather than introducing new risks into the healthcare system.