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Case Study

SaaS Platform for Healthcare Workflow Automation

Overview

A healthcare technology company offering smart wearables and a wellness community partnered with ZedIoT to launch a secure healthcare SaaS platform. Built on Dify AI workflow automation, the solution integrates device data, community content, and medical knowledge into a single scalable system.


Client Needs

The client required:

  • A self-hosted AI SaaS deployment to comply with healthcare data regulations.
  • Multi-tenant SaaS architecture to support both end users and healthcare partners.
  • A RAG knowledge base for reliable search across medical and community content.
  • Seamless API integrations with wearable devices and third-party health systems.
  • Enterprise-grade security, including SSO and role-based access.

Our Solution

Architecture diagram of a healthcare SaaS platform built with Dify AI workflows, showing self-hosted deployment, multi-tenant SaaS model, wearable data integration, RAG knowledge pipelines, and secure authentication.

ZedIoT delivered an enterprise-ready platform by combining:

  • Self-hosted AI Deployment for compliance and data privacy.
  • Multi-Tenant SaaS Architecture with per-tenant isolation and API keys.
  • RAG Knowledge Pipelines to process and organize healthcare content.
  • API Integrations with wearable devices and external health services.
  • Advanced Authentication for secure partner and user access.

Results & Benefits

  • Personalized Insights: AI-driven analysis of wearable data reduced manual reporting time by 30%.
  • Community Engagement: Users received more accurate answers in the wellness community.
  • Operational Efficiency: Automated workflows streamlined admin and support tasks.
  • Enterprise Scalability: The SaaS model served both consumer and healthcare provider needs.
  • Compliance Ready: Sensitive health data was handled securely within a self-hosted environment.

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