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MedicoNET — AI Copilot for Doctors & Patient App

Personal Project
March 2025 - Present
Team of 1
Solo (Product + Tech)Healthtech, Clinical Assist
Currently Active

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MedicoNET AI Copilot Interface

About This Project

Building an AI-powered healthcare platform with doctor copilot for patient summaries and mobile app for patient data management with QR-based consent flows.

Duration & Team

This project was completed over Ongoing with a team of 1 person.

Technologies Used

ExpoReact NativeNext.jsExpress.jsMongoDBAI/MLHealthcare APIsQR Codes

Key Achievements

  • Doctor copilot concept: AI chat that surfaces concise patient summaries from prior notes/history

  • Patient mobile app: view health data; QR-based consent flow to grant doctors scoped access

  • Data model for patients, encounters, notes; API for read/write with audit-friendly events

  • CMS-less content approach for real-time updates to patient-facing copy and flows

Skills & Lessons Learned

  • Domain modeling for medical records and visit timelines

  • Consent & access design (QR link tokens, TTL, revocation patterns)

  • Prompt/response guardrails for clinical summarization (hallucination risk mitigation)

  • Building a doctor<>patient handoff UX that reduces context-switching