What it does
MediGlide integrates terrain-adaptive transport, offline AI diagnosis (DeepSeek + dialect support), and modular temperature-controlled drug storage for rural doctors, solving fragmented equipment and diagnostic gaps in resource-scarce areas.
Your inspiration
With the continuous development of the rural revitalization strategy, making up for the shortcomings of primary medical care has become an important part of promoting the realization of rural revitalization. As the front line of primary medical care, rural doctors undertake the dual responsibilities of basic diagnosis and treatment and public health management. A significant difference from urban doctors is that due to the current situation where some rural residents live scattered, the diagnosis and treatment services of rural doctors are mobile.
How it works
MediGlide adopts a carbon fiber slide rail folding structure to achieve terrain adaptability and lightweight. The core medical module is equipped with three layers of temperature-controlled cabins: the top layer integrates AED emergency equipment, the middle layer uses a refrigerated medicine box to store vaccines, and the bottom layer uses RFID for intelligent management of regular medicines. The AI diagnosis system based on the DeepSeek medical large model inputs symptom data through iFlytek dialect voice, generates differential diagnosis suggestions offline, and reduces the misdiagnosis rate. Perovskite-coated seats use solar energy to replenish the battery, and sensors monitor the drug inventory and equipment status in real time. The closed-loop process from transportation to AI-assisted diagnosis and treatment efficiently supports medical services in resource-scarce scenarios.
Design process
Through research, the pain points were identified and a lightweight electric drive system was designed, equipped with a foldable frame, which is convenient for rural doctors to use and store in different terrains. The folded volume is small and compact, making it convenient to carry and transport. Consider how to integrate the smart screen + medicine storage space (AED layer, refrigeration layer, storage layer) + working platform and its structure from both horizontal and vertical perspectives, and make combinations and deductions for the positions of each module to think about the best solution. When considering the structure of the handlebars, the front of the vehicle needs to take into account the functions of the folded handlebars and handlebars. Therefore, in the design, it is in line with the wheels, while simplifying the interaction between the brake and the accelerator and integrating the functions of the headlights. Finally, in terms of functionality (the degree to which basic transportation needs such as steering and workbench requirements, and the degree to which drug access needs are met), aesthetics (the degree to which the shape is unique and distinctive, and in line with the rural scene), safety (the degree to which it ADAPTS to most terrains)
How it is different
MediGlide has noticed the long-neglected outpatient scenario in the design of rural medical equipment. Unlike traditional equipment that only focuses on one aspect, this product starts from the integration of the entire outpatient process, integrating transportation, diagnosis and treatment, and storage and transportation into a lightweight system. It breaks through the limitations of the existing fragmented solutions and enhances the professionalization and standardization of the equipment. The carbon fiber folding frame has good adaptability to slopes and terrains. The core advantage lies in: equipped with the DeepSeek medical large model and running AI diagnosis through the iFlytek dialect library - breaking the medical blind spots in remote areas. The modular medical cabin integrates an AED emergency layer, a temperature-controlled medicine box and RFID medicine management, eliminating the burden of multiple devices.
Future plans
In the future, we plan to enhance MediGlide with advanced IoT sensors for real-time health monitoring and AI algorithms for predictive diagnostics. We will develop modular add-ons, such as vaccine refrigeration units and telemedicine kits, to expand functionality. Pilot testing in remote villages will validate usability and impact, followed by user feedback iterations. Collaborations with NGOs and health ministries will drive scaling and affordability. Long-term goals include global deployment and integration with smart healthcare ecosystems to empower rural doctors worldwide.
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