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BlueButton Parser

(c.) Alan Viars - Videntity Systems Inc. - 2011

(c.) Mark Scrimshire - CMS - 2015

Version 0.9.1 (CMS BlueButton JSON Generator)

This library is dual licensed. It is released under the GPL licnese agreement and under a commercial license by Videntity systems Inc.

Added CMS BlueButton Parser to convert Medicare BlueButton v2.0 to format that is partially compliant with CMS BlueButton 3.0 JSON Format

Status: released. Converts CMS Medicare BlueButton v2.0 file to JSON.

use command line:

python bbp.py CMSFILE {input file} {output file}

For CMS BlueButton file format information refer to: https://github.com/ekivemark/claims

Installation

===============

Use pip to install the parser. :: pip install python-bluebutton

Converting a CMS BlueButton File

  1. Login to http://MyMedicare.gov
  2. Access the BlueButton feature
  3. Download your BlueButton as a text file
  4. Run the Python-BlueButton Parser:

To run the Python-BlueButton Parser we will make the following assumptions. You can adapt these to your system,

a) It is assumed that python is installed on your system can be run from any directory.

b) Your system allows you to refer to your home folder using ~ (tilde sign)

c) You downloaded the BlueButton text file to your /Downloads Folder as BlueButton.txt

d) You want to save the output file from the parser utility to your /Desktop folder as text_json.txt

e) You installed the Python-BlueButton code to the BBParser folder off the root directory of your system

Execute the following command: python /BBParser/bluebutton/bbp.py CMSFILE ~/Downloads/BlueButton.txt ~/Desktop/BlueButton.txt

Using the Parser

Here is another simple example using a VA BlueButton Text File:

::

Import the library

>>> from bluebutton.parse import *

Open and parse the bluebutton file.

>>> parsed = simple_parse("va_sample_file.txt")

Get the bloodpressure readings

>>> build_bp_readings(parsed)

[{'Date': '08/02/2010', 'bp_sys': '141', 'bp_dia': '76', 'bp': 'bp=141/76', 'Time': ' 17:30'}, {'Date': '08/02/2010', 'bp_sys': '150', 'bp_dia': '76', 'bp': 'bp=150/76', 'Time': ' 17:20'}]

Get the weight readings

>>> build_wt_readings(parsed)

[{'Date': '06/02/2010', 'wt': 'wt=242l', 'Time': ' 17:20'}, {'Date': '05/02/2010', 'wt': 'wt=244l', 'Time': ' 17:20'}, {'Date': '04/02/2010', 'wt': 'wt=246l', 'Time': ' 17:20'}]

#Get demographics >>> build_simple_demographics_readings(parsed)

{'middle_initial': 'A', 'first_name': 'ONE', 'last_name': 'MHVVETERAN', 'gender': 'Male', 'num_age': 64, 'date_of_birth': '03/01/1948'}

#Convert demographics to JSON

print tojson(build_simple_demographics_readings(parsed))

{
"middle_initial": "A", 
"first_name": "ONE", 
"last_name": "MHVVETERAN", 
"gender": "Male", 
"num_age": 64, 
"date_of_birth": "03/01/1948"
}

Get the medications

>>> build_mds_readings(parsed)
...