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FhirSheets is a command-line tool that reads an Excel file in FHIR cohort format and generates FHIR bundle JSON files from it. Each row in the template Excel file is used to create an individual JSON file, outputting them to a specified folder.

Project description

FHIRSheets

FhirSheets is a command-line tool that reads an Excel file in FHIR cohort format and generates FHIR bundle JSON files from it. Each row in the template Excel file is used to create an individual JSON file, outputting them to a specified folder.

Table of Contents

Features

  • Reads an Excel file following the FHIR cohort import template.
  • Converts each row in the Excel file to a FHIR bundle JSON file.
  • Exports generated JSON files to a specified output folder.

Requirements

  • Python 3.x
  • Required Python packages (see requirements.txt)

Installation

  1. Clone this repository:
    git clone https://github.com/CDCgov/synthetic-data.git
    cd fhir-python-cohort-generation
    
  2. Install the required packages:
    pip install -r requirements.txt
    
    Or use poetry
    poetry build
    

Usage

  1. Fill Out the Template:

    • Open the template file src/resources/Fhir_Cohort_Import_Template.xlsx.
    • Fill out each row with the relevant data.
  2. Run the Tool:

    • Use the python -m src.cli.fhirsheets module script with the required arguments:
      • --input-file: The path to the input Excel file.
      • --output-folder: The path to the output folder where the JSON files will be saved.
    python -m src.fhir_sheets.cli.main --input_file src/resources/Fhir_Cohort_Import_Template.xlsx --output_folder /path/to/output/folder
    
  3. The tool will generate one FHIR bundle JSON file for each row defined in the template.

Example

python -m src.fhir_sheets.cli.main --input_file src/resources/Fhir_Cohort_Import_Template.xlsx --output_folder ./output_bundles
In this example, each row in the `Fhir_Cohort_Import_Template.xlsx` file will be processed, and a corresponding JSON file will be generated in the `output_bundles` folder.

License

This project is licensed under the MIT License. See the LICENSE file for more information.

Project details


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