> ## Documentation Index
> Fetch the complete documentation index at: https://developer.eka.care/llms.txt
> Use this file to discover all available pages before exploring further.

# MedAssist

> Agentic medical assistant for real-time medical conversations using medical LLMs

## MedAssist Agent

**MedAssist** is a medical assistant agentic capability that enables users to communicate with Eka’s state-of-the-art **medical LLM** for medical concerns and healthcare guidance.

It supports real-time, multi-modal interactions and is designed for integration into consumer apps, clinical platforms, and enterprise healthcare systems.

Read more : ([API Reference - Medassist](/api-reference/health-ai/medassist/overview)) section.

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## How It Works

MedAssist operates using a **session-based architecture**:

1. **Session Creation**\
   Create a new session using your API key.

2. **WebSocket Connection**\
   Connect to the session via WebSocket to enable real-time, bidirectional communication.

3. **Multi-Format Communication**\
   Send and receive messages in multiple formats during an active session.

***

## Supported Content Types

* **Text Messages**\
  Direct text-based medical queries and follow-up questions.

* **Audio Messages**\
  Voice recordings for conversational medical interactions.

* **File Uploads**\
  Medical documents, images, lab reports, or clinical files for contextual understanding.

***

## Use Cases

### Patient Medical Guidance

Enable patients to ask medical questions and receive contextual, reference-backed responses for general healthcare guidance and next steps.

### Symptom Exploration and Triage

Guide users through symptom discussions to help structure inputs for triage, escalation, or clinician follow-up workflows.

### Pre-Consultation Support

Collect and structure patient concerns before a clinical visit, helping clinicians start consultations with better context.

### Post-Consultation Clarifications

Allow patients to ask follow-up questions after a visit to better understand instructions, medications, or care plans.

### Medical Document Contextualization

Use uploaded lab reports or medical documents to provide explanations and contextual insights in natural language.

### Multimodal Conversational Interfaces

Power chat- and voice-based medical assistants in mobile apps, web portals, or kiosks using a single agent interface.

### Telehealth and Virtual Care Assistants

Embed MedAssist into teleconsultation platforms to support patients before, during, or after virtual visits.

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## Notes & Considerations

* **Informational only**\
  MedAssist provides medical information and guidance but does not replace professional medical advice.

* **Session-scoped context**\
  Conversation context is maintained within a session and should be persisted externally if needed.

* **Verification recommended**\
  Outputs should be reviewed by healthcare professionals before being used in clinical decision-making.

* **Privacy and compliance**\
  Ensure proper handling of patient data and compliance with applicable healthcare regulations.

* **Network requirements**\
  Real-time communication requires stable WebSocket connectivity.

***

## Ideal For

* Consumer health apps
* Telemedicine platforms
* Hospital patient portals
* Digital health assistants
* Enterprise healthcare workflows

Read more : ([API Reference - Medassist](/api-reference/health-ai/medassist/overview)) section.
