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drgpy is a Python library for assigning a combination of diagnosis and procedure codes to Diagnosis Related Groups (MS-DRG) that is used in Medicare inpatient reimbursement today.

Project description

drgpy

drgpy is a Python library for assigning a combination of diagnosis and procedure codes to Diagnosis Related Groups (MS-DRG) that is used in Medicare inpatient reimbursement today.

Installing

Installing from the source:

$ git clone git@github.com:yubin-park/drgpy.git
$ cd drgpy
$ python setup.py develop

Or, simply using pip:

$ pip install drgpy

File Structure

  • drgpy/: The package source code is located here.
    • data/: The raw data files downloaded from the CMS website.
    • msdrg.py: The main file for the MS-DRG logic.
    • _mdcsrdr.py: A script that reads/parses mdcs_xx_xx.txt data files.
    • _appndxrdr.py: A script that reads/parses appendix_xx.txt data files.
    • _mdcs0007.py: logics for MDC00 - MDC07
    • _mdcs0811.py: logics for MDC08 - MDC11
    • _mdcs1221.py: logics for MDC12 - MDC21
    • _mdcs2225.py: logics for MDC22 - MDC25
  • tests/: test scripts to check the validity of the outputs.
  • LICENSE.txt: Apache 2.0.
  • README.md: This README file.
  • setup.py: a set-up script.

Code Examples

drgpy is really simple to use. Please see some examples below. NOTE that all functions used below have docstrings. If you want to see the input parameter specifications, please type print(<instance>.<function>.__doc__).

>>> from drgpy.msdrg import DRGEngine
>>> de = DRGEngine()
>>> print(de.get_drg.__doc__)

        Return the corresponding DRG code for the diagnoses and procedures

        Parameters
        ----------
        dx_lst : list
                A list of ICD-10 diagnosis codes
        pr_lst : list
                A list of ICD-10 procedure codes
>>>
>>> de.get_drg(["B20"],[])
'977'
>>> de.get_drg([], ["02HA0RS"])
'983'
>>> de.get_drg([], ["02HA0RS", "02PA0RZ"])
'002'
>>>

Please refer to the test scripts under the tests/ folder if you want to see other example use cases.

License

Apache 2.0

Authors

Yubin Park, PhD

References

Project details


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