Medical Data Validator

Comprehensive validation framework for healthcare datasets

Ensuring data quality, privacy, and compliance in medical research and clinical applications

About the Project

Medical Data Validator is an open-source Python package designed to validate healthcare datasets with comprehensive checks for data quality, privacy, and regulatory compliance.

Key Features

PHI/PII Detection

Automatically detect and flag personally identifiable information and protected health information in your datasets.

Data Quality Checks

Comprehensive validation of data completeness, consistency, and accuracy with detailed reporting.

Medical Code Validation

Validate ICD-10, LOINC, and CPT codes against standard medical coding systems.

Date Validation

Validate date formats and ranges, ensuring temporal consistency in medical records.

Interactive Dashboard

Web-based interface with visualizations and real-time validation results.

CLI Interface

Command-line interface for batch processing and integration into existing workflows.

How to Use

Web Dashboard
  1. Upload your medical dataset (CSV, Excel, JSON, or Parquet)
  2. Select validation options (PHI detection, quality checks)
  3. Choose a validation profile if applicable
  4. Click "Start Validation" to process your data
  5. Review results with interactive charts and detailed reports
Command Line
# Install the package
pip install medical-data-validator

# Validate a dataset
medical-validator validate data.csv --output json

# Run with specific options
medical-validator validate data.csv \
    --detect-phi \
    --quality-checks \
    --profile clinical_trials \
    --output summary

Who Can Use This Tool

Healthcare Researchers

Validate research datasets before analysis and publication.

Clinical Data Managers

Ensure data quality and compliance in clinical trials and patient records.

Data Scientists

Preprocess and validate medical datasets for machine learning applications.

Compliance Officers

Verify HIPAA compliance and data privacy requirements.

What It Can Do

Validation Capabilities
  • Schema Validation: Verify data structure and column types
  • PHI/PII Detection: Identify sensitive personal information
  • Data Quality: Check for missing values, duplicates, and outliers
  • Medical Codes: Validate ICD-10, LOINC, and CPT codes
  • Date Validation: Ensure proper date formats and ranges
  • Range Checks: Validate numerical values against medical ranges
Output Formats
  • JSON Reports: Detailed validation results in JSON format
  • Summary Reports: High-level overview of validation status
  • Interactive Charts: Visual representation of data quality issues
  • CSV Exports: Export validation results for further analysis
  • HTML Reports: Web-friendly detailed reports

About the Developer

Rana Ehtasham Ali

Senior Software Engineer

Passionate about developing tools that improve healthcare data quality and patient outcomes. This project demonstrates expertise in healthcare technology and data validation.

Contact

+92 322 471 2517

Email

ranaehtashamali1@gmail.com

Project Development Timeline

Core Framework Development

Built the foundational validation engine with modular architecture

Validator Implementation

Developed specialized validators for PHI detection, data quality, and medical codes

CLI Interface

Created command-line interface for batch processing and automation

Web Dashboard

Built interactive web interface with real-time validation and visualizations

Testing & Documentation

Comprehensive testing with real medical datasets and complete documentation

Ready to Validate Your Medical Data?

Start using the Medical Data Validator today to ensure your healthcare datasets meet quality and compliance standards.

Start Validation