Health Care Platform for Rehabilitation Center
Developing a multifaceted healthcare platform tailored for a rehabilitation clinic serving individuals with prostheses
Task
The project required the development of a comprehensive healthcare platform specifically designed for a rehabilitation clinic catering to individuals with prostheses. The complexity of this task was multifaceted. It involved the integration and development of various modules, including patient management, prosthetic tracking, and tele-rehabilitation, all of which needed to function seamlessly within a single platform. Additionally, the platform had to cater to the unique needs of each patient by offering personalized rehabilitation plans and tracking their progress. Achieving this while ensuring an intuitive user experience for both patients and the rehabilitation center was essential. Another critical aspect was identifying and automating existing rehabilitation protocols to streamline patient tracking and measurement, ensuring that the rehabilitation process was as efficient and effective as possible.
Solution
To address these challenges, we developed a powerful and cohesive system that integrates all necessary modules into a unified platform. This system effectively combines patient management, prosthetic tracking, and tele-rehabilitation, simplifying workflows and enhancing the overall patient experience. The platform was designed with the end-users in mind, ensuring that both patients and healthcare providers find it intuitive and easy to navigate. A key innovation was the integration of a computer vision system powered by machine learning, which automates the tracking and analysis of patients’ gait. This advancement streamlines patient monitoring and ensures accurate progress tracking throughout the rehabilitation process. Additionally, we incorporated sensor integration into the prostheses and paired them with wearable devices and a mobile application. This setup allows for the real-time collection and transmission of data, enabling remote monitoring of patients’ rehabilitation progress. This holistic approach not only improved the efficiency of the rehabilitation process but also provided healthcare providers with the tools they need to deliver personalized and timely care.
UI/UX Design
Our design team focused on creating an intuitive interface that would meet the diverse needs of both patients and the rehabilitation center staff. By conducting thorough user research, we developed a UI/UX design that is visually appealing and easy to navigate. The interface was optimized to ensure that users can effortlessly access essential features, making the rehabilitation process smoother and more engaging for patients.
Web and Mobile Development
For the web and mobile development, we built responsive platforms that ensure consistent performance across various devices. We used the latest frameworks and technologies to create a unified experience, whether accessed via a desktop, tablet, or mobile device. This ensured that patients and staff could interact with the platform seamlessly, regardless of their preferred device.
Backend Development
The backend development was centered around creating a robust infrastructure that could support the platform’s complex functionalities. We designed and implemented a scalable backend system capable of handling real-time data processing and integration with the frontend. This system ensures that patient data, rehabilitation progress, and sensor readings are managed efficiently and securely.
Computer Vision System
A crucial component of the solution was the integration of a computer vision system. This system, powered by machine learning algorithms, automates the analysis of patients’ gait. By accurately tracking and analyzing movement, the system enables the rehabilitation center to monitor patient progress more effectively, reducing the need for manual assessments and improving the accuracy of treatment plans.
Sensors Integration
We embedded advanced sensors into the prostheses, along with wearable devices, to capture real-time data during rehabilitation exercises. These sensors are connected to the platform via a mobile application, allowing for continuous monitoring of patient progress. The data collected is transmitted to the platform’s backend, where it is analyzed and used to adjust rehabilitation protocols as needed, providing a more personalized and effective treatment approach.
The result
The final result was a comprehensive, integrated platform that significantly enhanced the rehabilitation process for both patients and the rehabilitation center. The intuitive UI/UX design, combined with the robust backend system and advanced technological integrations, resulted in a seamless experience. The platform not only streamlined patient management and monitoring but also introduced new levels of efficiency and precision in rehabilitation protocols, ultimately leading to improved patient outcomes and a more effective rehabilitation process.
Technologies
Frontend
Swift, Kotlin
Back-end
Node.js, Python, MongoDB,
PostgreSQL, RESTful APIs, GraphQL
ML and Computer Vision
TensorFlow, OpenCV,
Scikit-learn
Project team:
IOS developer
Android Developer
DevOps
ML-Engineer
Project Duration:
Completed in 12 months
CONTACT US
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