In 2025, one of the biggest conversations in global health systems is how Artificial Intelligence (AI) is transforming remote patient monitoring (RPM). As Nigeria works to improve access to quality care, especially in rural areas. AI presents a powerful opportunity to bridge critical gaps in care delivery.
For resident doctors, especially those in internal medicine, public health, or family medicine rotations, understanding AI-powered RPM is more than “tech talk”—it’s about preparing for a smarter, more efficient future in medicine.
Remote Patient Monitoring refers to the use of digital technologies (like wearables, mobile apps, and home monitoring kits) to collect and transmit health data from patients to healthcare providers in real-time. Think blood pressure cuffs that send readings via Bluetooth, or apps that track glucose levels for diabetic patients.
Now, when you combine this with AI, things become even more efficient. AI tools don’t just collect the data—they analyze it, flag risks, spot trends, and even predict complications before they occur.
For a resident doctor trying to manage multiple patients during clinical postings, AI-supported RPM can significantly improve patient outcomes while reducing administrative fatigue.
Here are the real-world ways AI is being integrated into RPM, both globally and increasingly in Africa:
Platforms like Helium Health, 54gene, and MDaaS Global are already working on tech-driven healthcare delivery in Nigeria. As infrastructure improves, AI-backed RPM is likely to become mainstream in major hospitals and HMOs, especially as the government and private health sector focus more on telehealth solutions post-COVID.
Resident doctors in tertiary hospitals or urban clinics may soon find themselves interacting with AI dashboards, wearable device data, and automated patient updates.
If you're a resident doctor in Nigeria, here's how to prepare:
Limited Infrastructure: Not all hospitals have the power supply, internet strength, or funding to support AI integration—yet.