Healthcare AI Assistant

Aero3
Clinical copilot.

An AI-powered clinical assistant built to reduce healthcare documentation overhead, generating structured SOAP notes and medical entities directly from patient consultations.

The Problem

Healthcare professionals spend a significant portion of their workday compiling, organizing, and entering clinical notes (SOAP records) into EHR databases. This documentation overhead causes severe clinical fatigue and detracts from active patient care.

The Solution

Aero3 is a clinical AI copilot that assists doctors during patient visits. By taking audio recordings or transcripts of consultations, the system generates clean, structured Subjective, Objective, Assessment, and Plan (SOAP) clinical summaries. It handles medical entity extraction and structures medical logs automatically, allowing doctors to focus on clinical decisions.

Core Features

  • Clinical AI Transcription Processing

    Processes multilingual patient-doctor consultation recordings and transcripts using local or remote language models.

  • Structured SOAP Note Generation

    Translates conversational transcripts into medical Subjective, Objective, Assessment, and Plan summaries.

  • Medical Entity Extraction

    Recognizes symptoms, anatomical regions, prescribed medications, and clinical parameters.

  • EHR Integration Concepts (Future Scope)

    Designed to map structured note summaries directly to standard Electronic Health Record API payloads.

Specifications

StackNext.js, FastAPI, Google Gemini, Python
CategoryClinical AI Assistant (SOAP)
Project ClassPrototype / Research Project