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Development of a Cross-Platform Point-of-Care Medical Information System for Clinicians

nix-united.com

Medical

Information technology

Challenges in Accessing Unified Clinical Information

Existing web platform lacked cross-platform continuity and advanced features required by clinicians. Mobile access was fragmented, content delivery was inefficient, and the system needed scalability to support growing user demands before the HIMSS23 conference deadline.

About the Client

A global publishing company specializing in scientific and medical materials, providing evidence-based clinical resources to healthcare professionals and institutions.

Key Project Goals

Develop a unified cross-platform application (iOS/Android/Web) for seamless clinician access
Enhance the web platform with modernized UI and advanced search capabilities
Implement scalable microservices architecture for future growth
Meet strict HIMSS23 conference deadline for MVP delivery

Core System Functionalities

Role-based user profiles (physicians/nurses)
Multi-format content access (books, journals, videos, guidelines)
Advanced search with autosuggestions and multi-filter sorting
Favorites system for bookmarking critical resources
Country-specific content editions with language localization
Video playback integration for educational materials
Secure authentication with role-based access control

Technology Stack Requirements

React Native

Angular

Node.js

Java

Microservices Architecture

System Integration Needs

Existing backend content management system
Subscription management platform
Third-party medical content APIs

Non-Functional Requirements

High scalability to support concurrent clinical users
Content delivery optimization for low-bandwidth scenarios
HIPAA-compliant data security measures
Modular architecture for future feature additions
Cross-platform performance consistency

Expected Business Impact

Enables clinicians to access critical point-of-care information 24/7 across devices, improves medical decision-making speed by 40%, meets growing institutional demand for digital resources, and establishes a scalable foundation for future AI-driven clinical decision support integrations.