Development of a Mobile and Web App for Custom Orthopedic Device Ordering and Data Management

The client faces inefficiencies and lengthy procedures in the manual casting, measurement, and ordering of prosthetic and orthotic devices. Existing applications lack offline capabilities, reliable data migration, and seamless integration with manufacturing systems, leading to delays and increased operational costs.

A mid-sized healthcare equipment manufacturer specializing in custom prostheses and orthopedics devices, seeking to digitize its order processing and measurement workflows.

• Implement a mobile application to facilitate knee brace selection, patient data entry, and measurement capture for healthcare providers.
• Develop an internal management system that supports ordering of custom prosthetic sockets and liners, leveraging 3D scanning technology.
• Enable offline mode functionality to allow data collection and temporary storage without network connectivity, with synchronization once online.
• Design a secure, scalable backend architecture to store structured and unstructured data, including images and 3D models.
• Streamline order processing by automating data transfers from the application to manufacturing and ERP systems, reducing processing time by an estimated 50%.
• Improve data accuracy and migration reliability across application updates, ensuring minimal data loss.

• Device selection modules enabling healthcare providers to choose appropriate orthopedic braces and components.
• User-friendly patient data entry forms for personal information and medical history.
• Measurement tools for capturing critical anatomical parameters of patients’ limbs.
• Integration with 3D scanning devices to generate precise limb measurements for customized prosthesis fitting.
• Order creation and submission workflows linking applications to backend systems.
• Offline mode data storage with local cache support, ensuring uninterrupted operation in connectivity-limited environments.
• Synchronization process that pushes local data to cloud storage when online becomes available.

• 3D scanning hardware interfaces for limb capture
• ERP systems for order fulfillment and manufacturing workflows
• Azure Blob Storage for storing large media files
• Mobile SDKs for offline data collection and synchronization

• Support offline operation with local data caching to ensure continuous usability
• Secure data transmission and storage adhering to healthcare privacy standards
• System scalability to handle increased order volume and data size (aiming for minimal latency and high availability)
• Reliable data synchronization with a success rate exceeding 99%

The implementation of this digital platform is expected to significantly reduce processing time by up to 50%, decrease operational costs associated with manual workflows, and improve data accuracy and patient experience. The offline capabilities and automated data synchronization will enhance productivity for healthcare providers, leading to faster device fitting and improved patient outcomes.