Techward Infosolutions partnered in the design and development of the Lindera Mobility Analysis platform — a digital nursing and mobility assessment application aimed at improving senior care, fall risk evaluation, and personalized mobility planning. The platform leverages advanced analytics to assess movement patterns, generate comprehensive risk reports, and offer actionable insights for caregivers, healthcare professionals, and users alike.
Available as both a mobile application and web-based dashboard, Lindera enables seamless interaction for caregivers, therapists, and end-users by combining intuitive interfaces with powerful analytics. The solution empowers care teams to make data-driven decisions, improve treatment plans, and enhance overall mobility outcomes for users with varying physical needs.
The client needed a robust digital solution that could transform complex movement and mobility data into clear, actionable insights for care professionals. A major challenge was building tools that could accurately analyze gait and mobility patterns using device sensors while delivering consistent, reliable output across different devices and environments.
They also required a comprehensive web dashboard for clinicians to track patient data, monitor progress trends, and generate customizable reports. Ensuring the platform was user-friendly for both healthcare professionals and seniors — regardless of technical ability — was essential. Performance, data accuracy, security, and compliance with health data standards were top priorities.
Techward Infosolutions delivered a comprehensive mobility assessment ecosystem with mobile applications and a supporting web dashboard, optimized for performance, accessibility, and data accuracy. We designed intuitive interfaces that allow users to easily capture mobility data and view personalized insights, while the web dashboard provides clinicians and caregivers with advanced analytics, trend tracking, and report generation.
Using sensor data and custom analysis algorithms, the app evaluates gait and movement patterns to identify fall risks and mobility limitations. Care teams can access detailed visualizations, export reports, and track changes over time — enabling better care planning and proactive interventions. The backend architecture was built for scalability and secure data handling, ensuring compliance with privacy standards and long-term extensibility.
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