High-Level Architecture

System Diagram

Below is the updated high-level architecture of the Intelehealth platform, reflecting the modernized components and their interactions:

Open

Frontend Components:

• Intelehealth Android Application: Used by frontline health workers in low-bandwidth areas to collect patient data using Ayu, the digital health assistant.

• Doctor Web App: Provides a web-based interface for remote doctors to review clinical data and provide recommendations or prescriptions.

Middleware and Services:

• Middleware APIs: Connect the Android and Web Apps with backend services.

• Livekit: Provides WebRTC functionalities for teleconsultations.

• Auth Gateway: Manages authentication and security across the system.

• Configuration Service: Handles application settings and customization.

• PagerDuty Integration: Ensures error handling and alert mechanisms.

Backend and Databases:

• OpenMRS: Serves as the primary electronic medical record (EMR) system.

• Mindmap Server: Hosts and maintains the complex clinical protocols used by Ayu.

• Data Dashboards Server: Visualizes and reports usage metrics and outcomes.

Tech Stack

The technologies powering the platform include:

Frontend:

• Android: Java

• Web App: Angular

Middleware:

• Sync Module: Java

• Microservices: Node.js

Backend:

• OpenMRS: Java

• Database: MySQL

Additional Tools:

• Livekit for WebRTC teleconsultation

• PagerDuty for monitoring and alerts

Workflow Overview

Data Collection:

• Frontline Health Workers use the Android app to collect detailed patient data and conduct examinations guided by Ayu.

• Data is uploaded to the OpenMRS backend.

Doctor’s Review:

• Remote doctors access the web app to view patient data, review history, and create prescriptions.

Data Visualization:

• The Data Dashboards server presents key metrics, enabling stakeholders to evaluate outcomes.

• This architecture ensures scalability, security, and effective delivery of telemedicine services to remote communities.