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Development of AI-Integrated No-Code Platform for Healthcare Workflow Optimization

ahex.co

Medical

Information technology

Challenges in Healthcare Workflow Automation

The healthcare industry requires a scalable, compliant platform that enables non-technical users to build AI-enhanced applications while maintaining real-time data processing capabilities. Existing solutions lacked intuitive no-code interfaces, struggled with serverless architecture implementation, and failed to meet healthcare-specific compliance standards.

About the Client

A pioneer in creating healthcare applications leveraging serverless computing and AI for scalable, cloud-native solutions

Objectives for Healthcare Platform Development

Create a next-generation healthcare platform with AI-powered decision-making capabilities
Develop an intuitive no-code environment for application creation
Implement scalable serverless architecture for real-time healthcare data processing
Ensure compliance with healthcare industry regulations
Reduce technical dependency through user-friendly design

Core Platform Functionalities

Drag-and-drop no-code application builder
AI-powered analytics and automation engine
Real-time event-driven data processing
Role-based access control for healthcare professionals
Responsive cross-device user interface

Technology Stack Requirements

Angular framework

Bootstrap 4.0

Serverless architecture

AI/ML integration

Git version control

Critical System Integrations

AIVM technology for intelligent decision-making
Cloud-native infrastructure for scalability
Healthcare compliance frameworks

Operational Requirements

HIPAA/GDPR compliance
High-availability cloud architecture
Horizontal scalability for healthcare workloads
Sub-second response times for critical operations
Role-based security access controls

Expected Business Impact

The platform will enable healthcare professionals to develop custom applications without technical assistance, reduce operational costs through AI automation, and maintain compliance with industry regulations. The cloud-native architecture ensures future scalability while improving decision-making efficiency through intelligent data insights.