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Development of Cloud-Based Dose-Controlled Medication Delivery System with AI Integration

inveritasoft.com

Medical

Information technology

Business services

Challenge in Medication Adherence and Misuse Prevention

Healthcare providers face significant risks of medication non-adherence and misuse, particularly for high-risk drugs, requiring a secure, scalable system to synchronize patient-provider interactions and enforce precise dosage control through real-time monitoring.

About the Client

A pioneer in smart, dose-controlled prescription medication delivery technology leveraging patented systems for secure, data-driven healthcare solutions.

Key Goals for System Development

Create a cloud-based backend to support dose-controlled medication delivery devices
Enable real-time synchronization between patients and healthcare providers
Implement AI-driven analytics for adherence monitoring
Ensure secure authentication to prevent unauthorized medication access

Core System Capabilities

Dose-controlled delivery configuration by healthcare providers
Biometric fingerprint authentication for medication access
Real-time data synchronization across web/mobile applications
AI-powered adherence tracking and alert system
Cloud-based storage for patient-provider communication

Technology Stack Requirements

React Native

MongoDB

System Integration Needs

Bluetooth-enabled medical device connectivity
Cloud infrastructure for real-time data processing
Healthcare provider electronic health record (EHR) systems

Operational Requirements

High scalability for concurrent device connections
Military-grade data encryption standards
99.9% system uptime guarantee
HIPAA compliance for healthcare data protection

Anticipated Business Outcomes

Implementation of this system is expected to significantly improve medication adherence rates, reduce prescription misuse incidents by 70%, and enhance healthcare provider decision-making through real-time patient data analytics, particularly benefiting high-risk medication management scenarios.