Skip to content

DeepishkaPemmasani/Healthcare-Interoperability-Tools

Repository files navigation

Healthcare Interoperability Tools

A collection of healthcare data interoperability tools developed during my Health Informatics internship at MIHIN (Michigan Health Information Network). This repository contains utilities for processing HL7 V2 messages and CCD (Continuity of Care Document) data mapping.

🏥 About

This project demonstrates practical applications of healthcare data standards and interoperability protocols, focusing on:

  • HL7 V2 message parsing and validation
  • CCD/C-CDA document data extraction
  • Healthcare data mapping and transformation

🛠️ Tools & Technologies

  • Python: Primary development language
  • HL7 Library: For HL7 V2 message processing
  • XPath: For CCD/XML document parsing
  • Healthcare Standards: HL7 V2, C-CDA, FHIR concepts

📁 Project Structure

healthcare-interoperability-tools/
├── README.md
├── requirements.txt
├── LICENSE
├── .gitignore
├── hl7-tools/
│   ├── hl7_obx_parser.py
│   ├── examples/
│   │   └── sample_hl7_messages.py
│   └── tests/
│       └── test_hl7_parser.py
├── ccd-tools/
│   ├── ccd_mapping_guide.md
│   ├── ccd_xpath_examples.py
│   └── examples/
│       └── sample_ccd_extracts.xml
└── docs/
    ├── hl7_documentation.md
    └── ccd_documentation.md

🚀 Getting Started

Prerequisites

  • Python 3.7+
  • pip package manager

Installation

  1. Clone the repository:
git clone https://github.com/DeepishkaPemmasani/healthcare-interoperability-tools.git
cd healthcare-interoperability-tools
  1. Install dependencies:
pip install -r requirements.txt

Usage

HL7 V2 OBX Segment Parser

from hl7_tools.hl7_obx_parser import check_obx_subsegments

# Parse HL7 message for specific OBX subsegments
results = check_obx_subsegments(your_hl7_message)
print(results)

CCD Data Mapping

Refer to ccd-tools/ccd_mapping_guide.md for comprehensive XPath patterns for extracting data from CCD documents.

📚 Documentation

🔍 Features

HL7 V2 Tools

  • OBX Subsegment Parser: Extract specific observation subsegments (OBX.15.1, OBX.15.2, OBX.23.1)
  • Message Validation: Verify presence of required segments and fields
  • Error Handling: Robust parsing with graceful error management

CCD Tools

  • XPath Pattern Library: Pre-built patterns for common CCD data extraction
  • Data Mapping Templates: Structured approaches for UI data mapping
  • Best Practices Guide: Tips for handling CCD parsing edge cases

🏥 Healthcare Standards Compliance

This project works with industry-standard healthcare interoperability formats:

  • HL7 V2.x: Health Level Seven International messaging standard
  • C-CDA: Consolidated Clinical Document Architecture
  • LOINC Codes: Logical Observation Identifiers Names and Codes

🤝 Contributing

This repository represents work completed during a Health Informatics internship. While not actively seeking contributions, feedback and suggestions are welcome.

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

  • MIHIN (Michigan Health Information Network) for providing the internship opportunity
  • HL7 International for healthcare interoperability standards
  • Healthcare IT Community for continuous innovation in health informatics

📧 Contact

Feel free to reach out for questions about healthcare interoperability or this project:


Developed during Health Informatics Internship at MIHIN | 2024

About

A comprehensive healthcare data integration solution that manages patient information from multiple reporting systems within the MIHIN (Michigan Health Information Network) framework. This system provides a longitudinal record viewer that enables healthcare providers to access a unified patient record with structured health information.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages