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Development of a Mobile Catalog System with Offline and Request Optimization Features for Healthcare Equipment Supply
  1. case
  2. Development of a Mobile Catalog System with Offline and Request Optimization Features for Healthcare Equipment Supply

Development of a Mobile Catalog System with Offline and Request Optimization Features for Healthcare Equipment Supply

altoroslabs.com
Medical

Challenges in Managing Remote Orders for Assistive Medical Devices over Mobile Connectivity

The client faces difficulties in processing outpatient assistive device requests via mobile applications due to large data attachments and unreliable mobile internet connections. This hampers timely delivery of equipment and affects patient care quality, especially when requesting detailed images and documents that can total 10-15MB per order, leading to failed or delayed submissions.

About the Client

A regional provider of assistive, adaptive, and rehabilitative devices serving elderly and challenged individuals, aiming to streamline patient equipment requests and improve remote service delivery.

Goals for Enhancing Assistive Device Ordering System to Support Offline Operations and Data Optimization

  • Implement a mobile catalog application accessible offline, enabling healthcare staff to browse and select assistive devices without continuous internet connectivity.
  • Optimize request payloads by implementing image resizing and request size minimization techniques to ensure high-quality images are transmitted reliably over unstable networks.
  • Incorporate a quick and secure method for associating patient profiles via server-stored profiles, sending only profile IDs with requests to reduce data transfer volume.
  • Enhance the system’s ability to handle large attachment uploads efficiently, ensuring higher success rates in orders submission over variable network conditions.
  • Improve overall user experience and operational efficiency for medical staff deploying the application in various field settings.

Core Functional Features for a Resilient Medical Equipment Ordering Platform

  • Device catalog browsing with categorization based on device functions
  • Favorites list for quick access to commonly ordered items
  • Search functionality supporting quick product lookup
  • Offline mode allowing browsing and search without internet connectivity
  • Image resizing algorithms to minimize request size while maintaining quality
  • Order form submission with attached documents and images, optimized for mobile internet conditions
  • Patient profile management with server-side storage and profile ID referencing to reduce data transfer
  • Secure order transmission ensuring data integrity even under unstable network conditions

Technology Stack Preferences for Robust Offline Mobile Ordering System

Mobile application development platforms supporting offline capabilities (e.g., iOS, Android)
Image processing libraries for dynamic resizing of attachments
Server-side technology supporting profile management and request decoding (e.g., .NET, SQL-based database)
Secure data transmission protocols to ensure privacy and data integrity

External System Integrations for Order Processing and Data Management

  • Health insurance fund server for order request submissions
  • Patient profile management system for associating and retrieving patient data
  • Image and document storage solutions to handle large attachments efficiently

Key Non-Functional System Requirements for Performance and Reliability

  • Request size optimization to handle large image and document attachments (~10-15MB) effectively
  • Support for unreliable or intermittent mobile internet connections, ensuring high order success rates
  • Fast response times for browsing, search, and order submission functionalities
  • Robust security measures to protect sensitive patient and order data
  • Scalability to support increasing numbers of users and device catalog items

Projected Business Benefits of the Enhanced Medical Device Ordering Solution

The development of an offline-capable, request-optimized mobile system is expected to significantly improve the efficiency of assistive device requests, enabling healthcare professionals to process orders reliably in environments with unstable connectivity. This will lead to higher order success rates, faster response times, and improved patient care quality, ultimately streamlining supply chain operations for assistive healthcare equipment in remote or challenging environments.

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