Full-Stack Patient Data Management System with Ai Lab Result Interpretation

We are seeking a skilled freelancer to develop a comprehensive patient data management system. This project involves building a secure database, integrating AI for lab result interpretation, and creating both a patient-facing portal and an administrative panel. The system should streamline the process of managing patient profiles, storing lab results, and generating automated reports.

Key components and requirements include:

1. Database for Patient Data Storage:
  - Each patient will have a profile that includes their personal information and a history of their lab results.
  - The database must securely store patient information, exam results, and a complete report history.
  - We plan to use Supabase for the database backend, leveraging its capabilities for a Brazilian-friendly setup.

2. File Upload and AI Interpretation Module:
  - Functionality to upload PDF or image files of blood work and other lab results.
  - Integration with the Claude API to read and interpret numerical values from the uploaded documents.
  - The AI will automatically map raw lab numbers to microbiome scores, generate colored scores, and provide recommendations.

3. Secure Patient Portal:
  - Development of a secure, private portal where each patient can access their reports.
  - Patients should receive a unique link or login credentials to view only their specific data.
  - The portal will be built using Next.js and hosted on Vercel, utilizing its free tier capabilities.

4. Intuitive Admin Panel:
  - An administrative interface for our team to manage the system.
  - Key features include uploading new exam results, selecting the corresponding patient, and initiating the automated report generation process with a single click.
  - The goal is to have a system that requires no coding on our end after the initial setup, ensuring ease of use for daily operations.

We are looking for a developer with expertise in these technologies and a strong understanding of secure data handling and API integrations. The final solution should be robust, user-friendly, and efficient.