PatientSync AI

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  Official Branding for PatientSync AI: Designed to represent the intersection of healthcare and intelligent data networks.

"I created PatientSync AI because I wanted to rise to the challenge of building a secure, interoperable 'Superhero' agent for the Agents Assemble: The Healthcare AI Endgame Hackathon!" 🚀

💡 Inspiration

I wanted to solve "The Last Mile" problem in healthcare. 🏥 Doctors often have to spend hours digging through messy, technical medical records. I was inspired to build a tool that bridges the gap between complex data and the humans who need it most, giving clinicians more time to focus on their patients. 🤝

🤖 What it does

PatientSync AI is an intelligent assistant that acts as a secure bridge for healthcare data:

📋 Smart Fetch: It securely accesses patient records using FHIR standards.

✍️ Plain English: It translates difficult medical jargon into simple summaries.

💊 Data Extraction: It instantly pulls out medications, allergies, and diagnoses.

🛡️ Safety First: It has built-in triage logic to advise users to see a doctor for high-risk symptoms.

🏗️ How I built it

I used n8n as the "Brain" to orchestrate my AI Superpowers:

🧠 Groq & Gemini: For lightning-fast reasoning and natural conversation.

🔗 MCP (Model Context Protocol): To ensure the agent can talk to any healthcare system.

🔍 Cohere & Qdrant: For high-accuracy medical search and context.

💻 JavaScript: For custom data cleaning to ensure the AI always stays accurate.

🚧 Challenges I ran into

One of the biggest hurdles was handling Data Consistency. 🛠️ I faced a technical error where the AI expected a "String" but received an "Object" from the FHIR bundle. I solved this by building a custom data-cleaning step in n8n to ensure the AI only receives the clean text it needs to process safely.

Built With

• cohere
• fhir-standards
• gemini-api
• groq
• javascript
• n8n
• qdrant