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WellAlly Health

repository·main·Indexed 21 days ago

https://github.com/huifer/wellally-health

A local-first, AI-powered personal health record (PHR) system version 2.0.0 designed for privacy. It features 28+ interconnected health modules and over 60 slash commands for tracking medical data, analyzing clinical reports, and monitoring drug interactions using Claude AI. The system includes a health report generator via Python and supports multi-disciplinary consultations through specialized AI agents, all while keeping data stored exclusively on the local filesystem.

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What's inside wellally-health

  1. Overview of the Nutrition Analyzer Skill

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    The nutrition-analyzer is a specialized skill designed to analyze dietary and nutritional data, identify nutritional patterns, assess nutritional status, and provide personalized improvement suggestions. It is capable of correlating nutritional intake with other health metrics such as exercise, sleep, weight, blood pressure, and blood glucose levels.

  2. Overview of the TCM Constitution Analyzer Skill

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    The tcm-constitution-analyzer is a specialized skill designed to analyze Traditional Chinese Medicine (TCM) constitution data. It identifies constitution types, assesses physical and psychological characteristics, tracks changes over time, and performs correlation analysis between constitution types and other health metrics (nutrition, exercise, sleep). It also generates personalized wellness recommendations including diet, lifestyle, exercise, and acupoint massage.

  3. Overview of the Skin Health Analysis Skill

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    The Skin Health Analysis skill provides comprehensive analysis of skin health data. It is designed to identify patterns in skin issues, assess overall skin health, and generate personalized recommendations. Key focus areas include monitoring moles for potential skin cancer prevention and correlating skin data with other health modules like nutrition, chronic diseases, and medication.

  4. Overview of WellAlly Health Feature Extensions

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    The WellAlly Health Personal Health Information System is planned to expand through 23 distinct functional modules. These modules are categorized into three main groups:

    1. Demographic-Specific Modules (13 modules): Tailored health tracking for Women, Men, Children/Adolescents, the Elderly, and Pregnancy/Postpartum.
    2. General Health Modules (15 modules): Covering topics like Chronic Disease Management, Fitness, Sleep, Nutrition, Eye/Oral/Skin health, Mental Health, and more.
    3. Technical Enhancement Modules (3 modules): Focusing on AI Assistant enhancements, Data Integration, and Privacy/Security.

    Development is organized into a multi-phase roadmap, prioritizing pregnancy management, child growth tracking, chronic disease management, fitness, and sleep quality.

  5. Overview of the Sleep Analyzer Skill

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    The sleep-analyzer is a specialized skill designed to analyze sleep data, identify sleep patterns, evaluate sleep quality, and provide personalized improvement suggestions. It is capable of performing cross-domain correlation analysis by linking sleep data with other health metrics like fitness, diet, mood, and chronic disease indicators (e.g., blood pressure, blood sugar).

  7. Overview of available example data files

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    The data-example/ directory contains sample files for testing the health tracking system.

    Nutrition Module Data:

    • food-database.json: Nutritional data for 50 common foods.
    • food-categories.json: Food classification system (10 main categories, 30+ subcategories).
    • nutritional-reference.json: RDA and special dietary guidelines.
    • nutrition-tracker.json: User nutritional goals and assessments.
    • nutrition-logs/: Directory containing daily dietary records.

    Other Module Data:

    • profile.json: Basic user profile.
    • fitness-tracker.json: Fitness tracking data.
    • sleep-tracker.json: Sleep tracking data.
    • hypertension-tracker.json: Hypertension management data.
    • diabetes-tracker.json: Diabetes management data.

  8. Overview of the WellAlly.tech Platform

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    WellAlly.tech is a personal health record management platform designed for centralized health data management. Key features include:

    • Personal Health Records: Centralized management of all health data.
    • AI-Driven Insights: Intelligent analysis based on data patterns.
    • Secure & Private: Uses bank-level encryption for data protection.
    • Cross-Platform: Supports desktop, tablet, and mobile devices.
    • 28 Feature Modules: Comprehensive coverage of various health management aspects.

  9. Overview of the Oral Health Analyzer Skill

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    The Oral Health Analyzer is a specialized intelligence skill designed to analyze oral health data, identify problem patterns, assess overall oral health status, and provide personalized recommendations. It is capable of cross-referencing oral health data with other health modules such as nutrition, chronic diseases, medication, and eye health to provide a holistic view of systemic health impacts.

  10. Overview of the Drug Interaction Database

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    The system includes a built-in drug interaction detection feature managed via the data/interactions/interaction-db.json database. It supports four primary types of detection:

    • Drug-Drug Interactions (drug_drug): Checks for interactions between current medication combinations.
    • Drug-Disease Conflicts (drug_disease): Checks if a drug conflicts with a user's medical history.
    • Drug Dosage Conflicts (drug_dosage): Checks if dosages exceed limits, accounting for age and renal function.
    • Drug-Food Interactions (drug_food): Checks for interactions between drugs and dietary intake.

  11. WellAlly-health Core Features and Architecture

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    WellAlly-health is an AI-native, privacy-first personal health information system designed for developers. It uses a file-based approach with pure JSON storage instead of a traditional database, ensuring 100% local data residency.

    Key Features

    • AI OCR: Intelligent recognition of medical reports.
    • Drug Interaction: Detects severity levels (A/B/C/D/X).
    • 13 Specialists: Provides multi-disciplinary AI consultations.
    • Privacy First: Zero cloud uploads; all data stays local.
    • File-based: Uses JSON files for storage.

    Directory Structure

    Data and logic are organized within the my-his directory:

    • .claude/commands/: Contains CLI commands.
    • .claude/specialists/: Contains AI specialist configurations.
    • data/: Stores your personal health data.

  12. Manage prostate health and PSA monitoring

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    The prostate health management system allows for tracking PSA (Prostate-Specific Antigen) levels, IPSS (International Prostate Symptom Score) symptom ratings, DRE (Digital Rectal Examination) results, ultrasound findings, and overall risk assessment. You can record medical data using natural language descriptions and query your current health status or screening plans.