This package provides a simple-to-use Python interface to EDI 835 Health Care Claim Payment and Remittance Advice files.
This package is made publicly available by Senscio Systems, the company behind the Ibis Program, an industry leading healthcare initiative that helps people take control of their chronic condition management.
This fork is mantained by Affect Therapeutics, a company that provides a telehealth services for substance abuse. This fork adds significant features, and aims to provide interfaces to extract all possible data of an ERA 835.
Binary installers for the latest released version are at the Python Package Index. Please note that you need to run Python 3.6 or higher to install the edi-835-parser.
pip install edi-835-parser
To parse an EDI 835 file simply execute the parse
function.
from edi_835_parser import parse
path = '~/Desktop/my_edi_file.txt'
transaction_set = parse(path)
The parse
function also works on a directory path.
from edi_835_parser import parse
path = '~/Desktop/my_directory_of_edi_files'
transaction_sets = parse(path)
In both cases, parse
returns an instance of the TransactionSets
class.
This is the class you manipulate depending on your needs.
For example, say you want to work with the transaction sets data as a pd.DataFrame
.
from edi_835_parser import parse
path = '~/Desktop/my_directory_of_edi_files'
transaction_sets = parse(path)
data = transaction_sets.to_dataframe()
And then save that pd.DataFrame
as a .csv
file.
data.to_csv('~/Desktop/my_edi_file.csv')
The complete set of TransactionSets
functionality can be found by inspecting the TransactionSets
class found at edi_parser/transaction_set/transaction_sets.py
Example EDI 835 files can be found in tests/test_edi_835/files
. To run the tests use pytest
.
python -m pytest
All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.
Not all EDI 835 elements and segments are currently parsable and not all EDI codes are mapped. If you are interested in contributing to edi-835-parser, please feel free to fork the project and/or reach out by emailing [email protected].
Please ensure that you format your code using ruff and that all tests pass before submitting a pull request.
A special thank you to Github user gizquier2
for his interest in this project and continued feedback.