parser

About Healthcare/IO Parser

The Healthcare/IO parser is an Electronic Data Interchange (EDI) parser developed at Vanderbilt University Medical Center during Khanhly Nguyen's summer internship 2019. Built in a healthcare setting, the parser focuses (for now) on x12 claims (837) and remittances (835)

This code is intended to extract x12 837 and 835 and format them into portable and human readable format (JSON). This allows the claims to be stored in document data stores such as Mongodb, couchdb or databases that have support for JSON like PostgreSQL

We wrote this frame to be used in both command line or as a library within in your code. The framework is driven by configurations that derviced from X12 standards.

Features

Features
X12 claims/remits	parsing of {x12} claims/remittances into JSON format with human readible attributes
Multi Processing	capable of processing multiple files simultaneously to speed up processing
Analytics support	descriptive statistical analytics : distribution, various counts
Process Recovery	capable of recovering interrupted runs

Installation

pip install --upgrade git+https://hiplab.mc.vanderbilt.edu/git/lab/parse-edi.git

Usage

cli :

1. signup to get parsing configuration

   healthcare-io.py --signup <email> [--store <mongo|sqlite>]
   

2. parsing claims in a folder

   healthcare-io.py --parse <claims|remits> --folder <path> [--batch <n>] [--resume]
   
   with :
       --parse     tells the engine what to parse claims or remits
       --folder    location of the claims|remits
       --batch     number of processes to spawn to parse the files
       --resume    tells the parser to resume parsing 
                   if all files weren't processed or new files were added into the folder
   

3. dashboard

   There is a built-in dashboard that has displays descriptive analytics in a web browser

   healthcare-io.py --server <port> [--context <name>]    
   

Embedded in Code :

The Healthcare/IO parser can be used within your code base as a library and handle storing data in a data store of choice

import healthcareio

Credits

• Khanhly Nguyen
• Gaylon Stanley
• Cheng Gao
• Brad Malin
• Steve L. Nyemba