Empowering traveling doctors with AI

Scenario: Ravi is a traveling doctor who provides healthcare services to multiple rural communities across Jharkhand. With limited time and resources, he finds it challenging to deliver consistent care to all his patients. Many of his patients have chronic conditions that require regular monitoring, but the lack of a centralized system means Ravi often has to rely on paper records, which are incomplete or outdated. This makes it difficult for him to provide accurate and timely care, leading to potential health risks for his patients. The system should also store patient data over time and help the doctor use the longitudinal data to predict disease progression for better care recommendations.

He wants an economical tech-based solution that can process different data sources and help him in decision and knowledge support in the field. The system should have Responsible AI and data privacy built in, given the sensitive nature of the data.

Student’s challenge: Design an AI-powered mobile health platform that enables healthcare providers like Ravi to efficiently manage patient care across multiple locations. The solution should facilitate the tracking of chronic conditions, allow for the easy input and retrieval of patient data, and provide AI-driven insights for better decision-making. It could include features such as remote monitoring, predictive analytics for health deterioration and automated alerts for necessary follow-ups.

Since the solution should be available for commercial use, include models that we can deploy for commercial use and not just for research purpose.