Aimedis Developer Guide

This guide covers:

The Aimedis platform is organized into seven core architecture layers, each providing specific capabilities that developers can build upon.

All platform interactions are governed by a robust identity and access management layer. Authentication uses industry-standard OAuth2 flows, while consent management ensures data access always reflects patient authorization.

Authentication Flow

Key Identity Components

The healthcare data layer provides secure, structured storage and access for all medical information within the platform ecosystem.

Aimedis implements industry-standard healthcare interoperability protocols to ensure seamless integration with existing hospital systems and health information exchanges.

HL7 Integration

FHIR R4 Resources

GET /api/fhir/Patient/{id}
Authorization: Bearer {access_token}

The Aimedis API platform provides RESTful access to all platform capabilities. All endpoints use Bearer token authentication and return JSON responses.

API Structure

/api/patients
/api/records
/api/appointments
/api/consents
/api/telehealth
/api/xr
/api/ai

The Aimedis telehealth layer enables developers to build virtual care experiences with real-time communication, clinical documentation, and scheduling capabilities.

The Aimedis XR platform provides APIs and development tools for building immersive healthcare experiences using VR, AR, and mixed reality technologies.

XR Use Cases

Supported Development Engines

Platform Services Available to XR Apps

The Aimedis AI framework enables developers to build intelligent clinical applications leveraging structured healthcare data and pre-built pipeline infrastructure.

AI Use Cases

AI Data Pipelines

AI models can operate on:

Beyond data pipelines, the platform supports integration of AI assistance directly into clinical workflow applications built on top of the Aimedis infrastructure.

AI Assistance Areas

The Aimedis platform includes access to structured healthcare knowledge content that developers can integrate into clinical applications.

All applications built on Aimedis inherit platform-level data governance controls, reducing compliance burden for individual developers.

Compliance Standards

The Aimedis platform roadmap includes several planned capabilities that will expand the range of healthcare applications developers can build.

The Aimedis ecosystem supports a broad range of healthcare application types. Developers can build independent applications or contribute to the growing healthcare platform network.