Freelance developer 2-3 hours
Budget: $250.0
FIXED /
⭐ 5.00 (6)
United States
github, zapier
LOOKING FOR: Freelance developer (2-3 hours)
PROJECT: Complete a patient note automation system that is 80% built.
WHAT IT DOES:
I dictate patient notes using a Plaud AI recording device. Plaud transcribes and summarizes the note, then emails the summary to my Gmail. I need this to automatically upload to the correct patient's chart in DrChrono (my EHR system).
WHAT'S ALREADY BUILT:
- Zapier automation (4-step Zap) that catches Plaud emails from Gmail
- DrChrono OAuth connection with working refresh token
- Step 4 successfully uploads documents to DrChrono via API (confirmed working)
- A static dashboard deployed on Render (patient-dashboard-v2oi.onrender.com) where I tap a patient name before recording
THE ONE REMAINING PROBLEM:
The dashboard needs to save the selected patient's DrChrono ID to Zapier Storage so Zapier can read it and upload the note to the correct patient. The static HTML dashboard cannot do this because of CORS — browser requests to store.zapier.com are blocked.
WHAT YOU NEED TO BUILD:
A simple backend (Node.js or Python/Flask on Render free tier) that:
1. Serves the dashboard HTML
2. Has one POST endpoint that receives a patient ID and name, then saves it to Zapier Storage (https://store.zapier.com/api/records) using the secret key
3. Dashboard calls this backend endpoint instead of Zapier Storage directly
That's it. Everything else is working.
TECH STACK:
- Zapier (Python code steps)
- DrChrono API (OAuth2, working credentials provided)
- Zapier Storage API
- Render.com for hosting (free tier)
- GitHub repo already set up (github.com/Sblyer/patient-dashboard)
CREDENTIALS:
All API keys, tokens, and credentials will be provided. Zapier Storage secret UUID already set up.
DELIVERABLE:
Working end-to-end flow: I tap a patient name on the dashboard → record with Plaud → note automatically appears in that patient's DrChrono chart. No manual steps.
Ideal candidate: Someone familiar with CORS, simple REST APIs, and Render deployments. This should be a 2-3 hour job for the right person.
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