PhisioLog is a health journaling app designed to help users log detailed information about their physiological state or condition. Users can track specific organs, symptoms, remedies, diets, and other health-related data. The app allows users to document their experiences, view entries on a calendar, and generate reports to analyze trends over time. For example, users can review their main physical concerns over the past year, identify potential causes, and evaluate the effectiveness of treatments.

Tech Stack

Frontend

• Framework: React Native with Expo
  • Reason: Expo simplifies development with React Native by providing a set of tools and services that make it easier to build, deploy, and extend apps. It also supports web development, allowing for potential expansion to web platforms.
• UI Library: Vanilla styling
  • Reason: Using vanilla styling offers more flexibility in rendering components exactly as desired.
• State Management: Vanilla React state management
  • Reason: For simplicity and ease of use. If the state becomes complex, Zustand can be considered for its lightweight and easy-to-use nature compared to Redux.

Backend

• Framework: Node.js with Express.js
  • Reason: Efficient and scalable for building the backend.
• TypeScript: Used for the entire backend codebase
  • Reason: Provides static typing, which helps catch errors early and improves code maintainability.
• Validation: Zod
  • Reason: Excellent support for TypeScript, making it easier to define and validate schemas.
• GraphQL: Added on top of the Express server
  • Reason: Provides flexible data fetching, strong typing, and real-time capabilities.
• Database: MongoDB
  • Reason: The schema-less nature of MongoDB offers flexibility, allowing you to update the schema later without complex migrations. This flexibility is beneficial for evolving applications where data structures may change over time.
• Containerization: Docker
  • Reason: Ensures a consistent development environment across different operating systems, making it easier for developers to collaborate and deploy applications.

Authentication

• JWT (JSON Web Tokens) or Passport.js
  • Reason: JWT is simple and effective for secure user authentication. Passport.js offers a variety of authentication strategies and can be discussed further for the best fit.

Additional Tools

• Cloud Storage: AWS S3
  • Reason: To allow users to upload their own test results, such as PDFs and other files, ensuring they have all their health-related documents in one place.
• Notifications: OneSignal VS Custom Solution
  • OneSignal: OneSignal is a robust and easy-to-implement solution for push notifications, with a free tier that should suffice for your initial needs. It handles the complexities of push notifications across different platforms, saving you development time.
  • Custom Solution: Given the small user base and relatively simple requirements, implementing a custom notification system is feasible. However, it may require more development effort and maintenance.

Key Features

1. Body and Organ Selection: Use icons to break down the body into different sections such as skin, bone, muscle, and internal organs. Users can then select specific organs from these categories.
2. Symptom and Pain Tracking: Document symptoms, pain levels, and types of pain.
3. Treatment and Alleviation Techniques: Sections to log treatments and techniques tried.
4. Calendar Integration: Calendar view to track symptoms and treatments over time.
5. Test Results: Secure storage and display of medical test results.
6. Data Privacy: Implement advanced encryption methods such as AES-256 to ensure user data privacy and security.
7. Automated Reports: Implement a feature to periodically generate and email reports to users. This ensures they have a backup of their data in case the platform goes down. The reports can be in CSV, PDF, or JSON format, depending on user preference.

Audio Input and Processing

• Audio Capture: Use a library like React Native Voice to capture audio input.
• Speech-to-Text: Google Cloud Speech-to-Text to convert audio to text.
• Text Processing: Send the transcribed text to the ChatGPT API (starting with GPT-3.5 Turbo for cost-effectiveness, with the option to switch to GPT-4 if needed).
• JSON Structuring: ChatGPT interprets the text and structures it into a JSON object.
• User Confirmation: The structured data is returned to the user for confirmation and manual alterations if necessary.