🧠 MIT Minds & Machines Hackathon

SymptoSense

Bridging patient health diaries with clinical documentation through AI — empowering patients with insights and freeing clinicians from the documentation tax.

🎙️

Voice Health Diary

Patients log daily symptoms through voice or text. AI extracts medical entities, tracks mood, and visualizes health trends.

📊

7-Day Trend Analysis

Interactive charts reveal patterns in pain levels, medication usage, and sentiment — giving patients and doctors actionable context.

📝

SOAP Note Automation

Clinicians dictate visit notes. AI structures them into Subjective, Objective, Assessment, and Plan — reducing documentation time by up to 70%.

Powered by Azure AI

👂

Azure Speech-to-Text

Superior medical terminology accuracy for both patient and clinician voice input.

🔍

Text Analytics for Health

Named Entity Recognition extracts symptoms, medications, dosages, and conditions.

🧠

Azure OpenAI

Sentiment analysis, health insights, and structured SOAP note generation.

🔒 Privacy by Design

This MVP uses 100% synthetic, non-PHI data. The architecture is designed for HIPAA/HITRUST compliance with encryption at rest and in transit, Azure Key Vault, and FHIR R4 interoperability.

Synthetic DataFHIR ReadyHuman-in-the-Loop