Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of an AI-Driven Pharmaceutical Management and Patient Engagement Platform
  1. case
  2. Development of an AI-Driven Pharmaceutical Management and Patient Engagement Platform

Development of an AI-Driven Pharmaceutical Management and Patient Engagement Platform

acropolium
Medical
Healthcare

Challenges in Modernizing Pharmacy Operations with Accurate, Secure, and Patient-Centric Digital Solutions

The client faces difficulties in ensuring prescription accuracy, managing complex drug interactions, integrating legacy systems with new AI capabilities, and complying with stringent data protection regulations. Additionally, they encounter challenges in automating inventory and prescription workflows, fostering patient trust in digital health tools, and reducing operational costs while maintaining high standards of care.

About the Client

A mid-to-large healthcare organization seeking to modernize pharmacy operations, improve prescription accuracy, and enhance patient engagement through intelligent automation and compliance-driven solutions.

Goals for Implementing an AI-Enabled Pharmacy and Patient Engagement System

  • Reduce human errors in medication dispensing through AI-powered validation and decision support systems.
  • Implement personalized patient engagement features such as medication reminders, virtual pharmacist consultations, and health monitoring tools to increase patient retention and satisfaction.
  • Automate core processes like inventory management and prescription processing to improve operational efficiency and reduce manual workload by an estimated 30%.
  • Ensure full compliance with relevant healthcare data protection regulations, including GDPR and other standards, through secure data handling and validation protocols.
  • Develop a scalable, modular platform capable of integrating future advancements in AI and healthcare technology.
  • Lower operational expenses without compromising on quality of patient care, leveraging automation and cloud-based infrastructure.

Core Functional Capabilities for an AI-Enabled Pharma Management System

  • AI-powered prescription validation to account for drug interactions and patient history.
  • Personalized medication management features such as automatic reminders and health monitoring tools.
  • Virtual consultation interfaces enabling virtual pharmacist access.
  • Automated inventory management system with demand forecasting and stock optimization.
  • Secure patient portal with encrypted data handling and compliance measures.
  • Integration with legacy healthcare systems and third-party health monitoring devices.
  • Real-time data validation and processing using AI and automation modules.

Technology Stack and Architectural Preferences for AI-Driven Pharma Platform

.NET Core for backend development
Entity Framework Core for data management
Cloud services such as Microsoft Azure (including AKS and Azure SQL Database)
Azure Cognitive Services for AI and real-time validation
React.js with TypeScript and Tailwind CSS for frontend development
Automation frameworks like Hangfire, MediatR, Automapper, and FluentValidation

Required External System Integrations for Seamless Healthcare Operations

  • Legacy healthcare information systems
  • Health monitoring devices and tools
  • Regulatory compliance validation modules
  • Third-party AI and decision support services

Essential Non-Functional System Requirements

  • Scalability to support growing patient base and data volume, with cloud infrastructure facilitating seamless scaling.
  • Security to ensure GDPR and healthcare data compliance, including data encryption, validation, and access controls.
  • High availability with minimal downtime, supporting 24/7 operational needs.
  • Performance metrics such as real-time prescription validation with low latency.
  • Maintainability to allow easy updates and integration of new AI features.

Projected Business Benefits of the AI-Enhanced Pharmaceutical Platform

Anticipated outcomes include a 30% increase in operational efficiency through automation, a 15% improvement in patient retention via personalized engagement features, and a 25% reduction in data security risks owing to robust compliance measures. The platform aims to support ongoing technological advancements, fostering trust and delivering high-quality healthcare services at reduced operational costs.

More from this Company

Automated Cloud-Based Human Resources Management Platform
Development of a Cloud-Based Real-Time Operational Command Platform for Emergency and Public Safety Management
Development of an Advanced Hazard Monitoring and Automated Alerting System
Advanced AI-Powered Anti-Money Laundering System for Digital Banking Security
Automated AI-Powered Data Quality Monitoring and Profiling System for Enhanced Data Integrity