H.E.A.L AI

We aim to build a Medical Bill & Insurance Simplifier App that provides patients with a transparent, personalized, and easy-to-understand breakdown of their medical expenses.

Comment

Inspiration:

Medical bills and insurance documents can be confusing, filled with jargon, hidden charges, and errors. Patients often overpay because they can’t easily understand or dispute their bills. We wanted to simplify this process and empower patients with clarity and control.

What it does:

H.E.A.L AI is an app that:

  1. Lets patients upload bills or insurance documents (PDFs, scans, or photos).

  2. Simplifies them into easy-to-read summaries showing coverage, copays, and out-of-pocket costs.

  3. Flags errors or disputes like duplicate charges or uncovered services.

  4. Stores medical history & insurance info to validate charges.

  5. Provides a Disputes tab with auto-drafted emails for patients to challenge incorrect charges.

  6. Offers an emergency QR code to share health and insurance details with hospitals instantly.

How we built it:

Frontend: React, Typescript.

Backend: Python, Fast API, Gemini API, Genkit, OCR & NLP for document parsing.

Database: SQL Lite

AI: Gemini + GPT-powered chatbot for bill explanations and dispute support.

Integration: QR code generator for emergency use cases.

Challenges we ran into:

  1. Parsing messy, unstructured bills/insurance into structured data.

  2. Ensuring medical/insurance terms were explained in plain English.

  3. Designing a clean, intuitive UI within limited hackathon time.

  4. Ensuring the chatbot is swift and gives instant replies with appropriate answers.

Accomplishments that we're proud of:

  1. Time-to-clarity: From upload to a cited coverage card in under a minute on our demo set. Explainability: Every number ties back to a clause; users can open the exact excerpt.

  2. Integrated a chatbot interface for natural conversations about bills.

  3. Added the emergency QR code feature, which extends the app beyond billing into a real healthcare utility and also a Calendar for medication/prescription reminders.

  4. Created a one-stop solution for all the medical bills and logistics.

What we learned

  1. Healthcare billing is far more complex than expected.

  2. Simplicity in UX is critical when dealing with stressful financial/medical information.

  3. AI + OCR can drastically reduce the burden on patients by automating tedious checks.

What's next for H.E.A.L AI

  1. Security hardening: End-to-end encryption, zero-retention logs, third-party audits/compliance checks. Policy library at scale: Auto-ingest major carrier policies by plan/year—no manual uploads.

  2. Broader coverage: Extend parsing + rules to renters and travel insurance with the same plain-English outputs.

  3. Deeper actions: Prior-auth checklists, denial-appeal packs, and smoother payment-plan/charity-care flows. Partner ecosystem: Payer/provider/Rx integrations for real-time checks and seamless claims assistance.

Built With

Share this project:

Updates