Developing an IoT and AI powered affordable remote patient monitoring model for tertiary prevention of type 2 diabetes mellitus in Colombia
摘要
This case details the development and evaluation of a commercially viable remote patient monitoring system tailored for Type 2 Diabetes Mellitus patients in Latin America, focusing on high usability without the need for mobile applications.
ObjectiveTo demonstrate the feasibility of an IoT-based monitoring system as a scalable, low-barrier solution for chronic disease management in low-resource settings.
MethodsInvolved mapping stakeholders, conducting semi-structured interviews to define user requirements, and applying Lean Startup principles to develop multiple prototypes. An IoT gateway was designed to transmit data via Bluetooth and Wi-Fi to a cloud-based system. Usability testing was conducted with 63 patients.
ResultsThe results indicated that none of the participants reported noticeable changes in their usual experience of taking vital sign measurements. Additionally, the system successfully transmitted and stored biometric data in all cases, confirming operational reliability in real-life usage scenarios.
ConclusionsThe potential of the system to enhance diabetes management and reduce related complications, although it calls for further studies to confirm these benefits and to explore the long-term impact on patient health outcomes.