MMoaz AhmedAI Solution Provider

Telehealth · AI Agent

Care Platform: Conversational AI for Remote Patient Intake

A telehealth platform with an AI medical assistant that gathers symptoms and health information, then prepares structured summaries for clinicians.

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dev.care.drh.ai
Care Platform: Conversational AI for Remote Patient Intake project interface

Project profile

Sector
Telehealth · AI Agent
Solution
AI Voice Agents
Role
Product and engineering delivery
Website
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The challenge

Turning a real workflow into a focused product.

Remote-care teams need useful patient context before a clinician reviews the case. A conversational intake experience had to gather symptoms and vitals naturally while converting the interaction into information a doctor could scan quickly.

The solution

Architecture shaped around the people using it.

A voice-enabled medical assistant was integrated into the care platform to interview patients, collect health data and produce structured summaries. Speech recognition and synthesis support a natural interaction while the backend prepares clinician-facing output.

What was delivered

A connected solution from interface to infrastructure.

  • Conversational collection of symptoms and vitals
  • Voice input and voice response experience
  • Groq speech recognition in the interaction loop
  • Natural text-to-speech responses
  • Structured clinician summary generation
  • FastAPI services deployed on AWS EC2

Business outcome

Patients can provide relevant context through a guided conversation, while clinicians receive a more structured starting point for review. The system supports intake; it does not replace medical judgment.
PythonFastAPIElevenLabsGroqAWS EC2