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Cross-Platform Mobile Application for Secure Clinical Data Exchange and Patient Record Management
  1. case
  2. Cross-Platform Mobile Application for Secure Clinical Data Exchange and Patient Record Management

Cross-Platform Mobile Application for Secure Clinical Data Exchange and Patient Record Management

itransition.com
Medical
Information technology

Challenges in Emergency Clinical Data Management and Secure Exchange

The client faces difficulties in providing ambulance teams with a unified, secure, and versatile application for rapidly assessing and documenting patient data in emergency situations. Currently limited to Windows tablets, the existing system lacks multi-platform support, secure data handling compliant with HIPAA, and functionalities such as file attachment, geolocation, and real-time data transfer, hindering wider adoption and operational efficiency.

About the Client

A healthcare software provider aiming to develop an omnichannel solution enabling ambulance personnel to securely capture, store, and exchange patient clinical data across multiple devices and platforms

Goals for Developing an Advanced Cross-Platform Clinical Data Exchange System

  • Develop a multi-platform (iOS, Android, Windows) mobile application facilitating secure clinical data storage and exchange among emergency healthcare personnel
  • Implement robust file attachment capabilities including ECG files, photographs, and OCR-processed insurance cards, with secure transfer mechanisms
  • Ensure HIPAA-compliant encryption and decryption for patient data and attached files during storage and transmission
  • Incorporate geolocation features to facilitate automatic capture and display of incident location data
  • Enable on-site photo capture and document upload functionalities for quick data collection
  • Design a flexible, dynamic UI allowing client customization and compliance with brand standards
  • Develop support for BLE-based data transfer between devices to maintain low power consumption and reliable connectivity
  • Integrate ML-based recognition for extracting patient information from insurance cards to streamline data entry

Core System Functionalities for Secure Medical Data Handling

  • File attachment support for ECG files, images, and OCR-extracted documents
  • End-to-end encryption with unique device keys for HIPAA compliance
  • Secure local storage with key-value database integration
  • Cross-platform file transfer using BLE technology with native layer support
  • ML-powered recognition of patient details from insurance card photographs
  • Geolocation functionality capturing and displaying incident location data
  • On-site photo capture and easy document uploading via camera and file system
  • Dynamic UI that can be customized based on client specifications using JSON configurations
  • Separation of business logic and platform-specific code via the Bloc pattern with Clean Architecture

Preferred Technologies and Architectural Approach

Flutter framework for cross-platform development
Bloc pattern with Clean Architecture for modular, testable code
Flutter plugins for device-specific functionalities such as file parsing, camera, geolocation, and BLE communication
Native development layers for BLE peripheral mode support across platforms
Hive database with built-in encryption for secure local data storage
PyTorch ML models (e.g., CRAFT, SATRN) for insurance card OCR recognition
Flutter Location plugin for geolocation services

Essential External System Integrations

  • ECG device SDKs for parsing proprietary file formats (.zol files)
  • BLE communication stack for device-to-device data transfer
  • ML models for document recognition and data extraction
  • Device native APIs for file system and camera access
  • Backend services for private key management and synchronization

Non-Functional System Requirements and Performance Metrics

  • System must support concurrent use by multiple emergency teams with scalable architecture
  • Data encryption mechanism must comply with HIPAA and ensure secure transfer and storage of files
  • Application performance should ensure minimal latency in real-time data transfer (target: under 2 seconds for BLE transfers)
  • Application should operate reliably in high-pressure, emergency environments with minimal crashes
  • Support for seamless updates and support for dynamic UI configurations
  • Battery-efficient BLE communication and minimal resource consumption

Projected Business Impact and Benefits of the System

The implementation of this multi-platform clinical data exchange system aims to significantly improve emergency data collection efficiency, enhance patient privacy and security, and expand the reach of the healthcare provider’s solutions. Anticipated outcomes include increased client acquisition (targeting 30+ healthcare institutions), reduced data entry errors through ML-based recognition, faster incident response times, and improved compliance with healthcare regulations.

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