Where Real-Time Data Meets Guidance for Health Workers: Evidence from Nexleaf’s AI-Powered Solution Expensive medical equipment requires maintenance, upkeep, and repair to function well throughout its lifespan. But in many low- and middle-income countries (LMICs), barriers prevent health workers from identifying broken equipment and fixing it quickly. When equipment breaks and stays broken, patient care
By Nikhil D. Patil and Moses Kasigazi Ensuring medical equipment stands ready to serve patients is essential for quality care, but health facilities in low- and middle-income countries struggle with systemic challenges that impede effective equipment management. As a result, up to 40% of medical equipment in these settings is non-functional, jeopardizing patient outcomes. Rwanda
Nexleaf Team Voices: The Opportunities & Challenges of Continuous IoT Sensor Data Nexleaf Software Engineer Chris Combs reflects on why our data is special – and especially challenging. Read on to learn why IoT sensor data is primed for AI. As an engineer, time series data produced by IoT devices is one of my favorite