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Modernization of ePrescribing System with Enhanced Clinical Workflow Integration

artkai.io

Medical

Custom Business Applications

Enterprise Apps

Legacy System Limitations and Modernization Needs

Existing ePrescribing system built on outdated technology stack with scalability issues, poor interoperability, suboptimal user experience, performance bottlenecks during peak usage, and lack of customization capabilities for diverse clinic needs

About the Client

Premier healthcare provider with a network of pharmacies, clinics, and wellness centers across North America and Europe, focused on technology-driven healthcare innovation

Modernization Goals and Enhanced Functionality

Modernize legacy infrastructure to contemporary technology standards
Improve system interoperability with healthcare ecosystems
Enhance user experience for healthcare providers and patients
Ensure scalable architecture for future growth
Implement clinical decision support systems for medication safety

Core System Functionalities and Key Features

Streamlined patient registration and admission process
Centralized electronic medical records (EMR) integration
Real-time prescription creation and pharmacy transmission
Automated refill request management with provider alerts
Clinical decision support for drug interaction checks
Patient portal for prescription visibility and refill requests

Technology Stack Requirements

React.js for responsive frontend

Node.js with Express.js backend

RESTful APIs for integration

AWS cloud infrastructure

Docker/Kubernetes containerization

OAuth 2.0/JWT authentication

System Integration Requirements

Electronic Medical Records (EMR) systems
Lab results databases
Diagnostic imaging repositories
Pharmacy management systems

Operational Requirements

Horizontal scalability for concurrent users
99.9% system availability SLA
HIPAA-compliant data security
Sub-2s response time under peak load
Role-based access control mechanisms

Expected Business and Operational Impact

Cloud-native architecture will ensure 3x performance improvement during peak times, 40% reduction in prescription errors through clinical decision support, and seamless scalability to support 10,000+ concurrent clinics while maintaining 99.95% system uptime