Artificial Intelligence (AI) is steadily reshaping healthcare delivery across Africa — not by replacing doctors, but by strengthening their ability to deliver faster, more accurate, and more efficient care.
This was the central message from experts at a recent webinar hosted by Newmark Group titled “AI in Healthcare: Opportunities and Challenges.” Speakers agreed that while early fears once centered on machines taking over clinical roles, the emerging reality tells a different story: AI is becoming a powerful support tool embedded within hospitals and national health systems.
From Skepticism to Integration
Daniel Marfo, Co-Founder of RX Health Info System, reflected on how dramatically perceptions have shifted.
“Healthcare is built on protocols, training, and years of experience. Naturally, there was skepticism,” he said. “But what we are seeing now is that AI is sharpening clinical focus, not replacing it.”
According to Marfo, AI tools are increasingly integrated into Electronic Medical Records (EMRs), assisting doctors in real time. As clinicians document symptoms and patient history, AI systems can suggest possible diagnoses, identify patterns, and prompt additional questions that might otherwise be missed in busy clinics.
“AI helps doctors process large volumes of information within limited consultation time. It does not make decisions — it supports the decision-maker,” he explained.
Bridging Critical Gaps in Medical Imaging
One of AI’s most transformative applications lies in medical imaging. AI-powered systems can rapidly analyze X-rays, CT scans, and MRIs, flagging abnormalities that require further evaluation.
In many African countries where radiologists are in short supply, this technology is proving invaluable.
“In some facilities, patients wait days because a specialist is unavailable. AI tools are helping to bridge that gap by offering preliminary insights clinicians can act on quickly,” Marfo noted.
Importantly, AI does not issue independent diagnoses. Instead, it acts as a second set of eyes, enhancing accuracy while leaving final decisions to trained professionals.
Reducing Administrative Burden
Beyond clinical functions, AI is also easing administrative pressures that often consume healthcare professionals’ time. Automated transcription tools and intelligent claims-processing systems are reducing paperwork, cutting delays, and freeing doctors to focus more on patient care.
For patients, this shift translates into shorter waiting times and improved service delivery.
Building Resilient Health Systems
Dr. Afriye Bempah, Founder of Aduru Analytics/PharmaD, emphasized AI’s broader potential to strengthen system resilience across the continent.
AI-driven surveillance systems are being developed to detect disease outbreaks earlier by analyzing patterns in health data. By converting raw information into actionable insights, such systems provide healthcare workers and policymakers with valuable response time.
However, Bempah cautioned that the implementation of AI must be handled responsibly.
“In healthcare, mistakes affect lives. Patient privacy and ethical use must remain central,” he said.
Addressing Bias, Privacy, and Public Perception
Despite its promise, experts acknowledged that AI adoption comes with challenges. Data privacy concerns, fragmented health records, and algorithmic bias remain pressing issues.
Gilbert Manirskiza, Chief Executive Officer of Newmark Group, described the ethical dimensions of AI communication as “critical and urgent.”
“One of the biggest challenges communicators must address is data privacy,” he said. “If patient data is used in AI systems that are not properly governed or accountable, that becomes an ethical problem.”
Manirskiza also raised concerns about algorithmic bias, noting that many large language models are predominantly trained on non-African populations.
“Bias is a structurally significant issue. Many AI systems underrepresent African contexts,” he said, advocating for locally trained and custom-built AI systems to improve cultural and contextual relevance.
He further argued that disclosure should become a standard ethical practice in healthcare communications, ensuring the public knows when AI-generated content plays a substantial role in messaging.
A Support System, Not a Substitute
While some clinicians remain cautious and some patients may overestimate AI’s capabilities, experts at the webinar were united on one point: AI must be clearly positioned as a support tool — one that augments professional expertise rather than competes with it.
As African health systems continue to evolve, AI appears poised to serve not as a replacement for doctors, but as a digital ally in delivering smarter, faster, and more resilient healthcare across the continent.
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