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CLIF Project Title

Objective

Describe the project objective

Required CLIF tables and fields

Please refer to the online CLIF data dictionary, ETL tools, and specific table contacts for more information on constructing the required tables and fields.

List all required tables for the project here, and provide a brief rationale for why they are required.

Example: The following tables are required:

  1. patient: patient_id, race_category, ethnicity_category, sex_category
  2. hospitalization: patient_id, hospitalization_id, admission_dttm, discharge_dttm, age_at_admission
  3. vitals: hospitalization_id, recorded_dttm, vital_category, vital_value
    • vital_category = 'heart_rate', 'resp_rate', 'sbp', 'dbp', 'map', 'resp_rate', 'spo2'
  4. labs: hospitalization_id, lab_result_dttm, lab_category, lab_value
    • lab_category = 'lactate'
  5. medication_admin_continuous: hospitalization_id, admin_dttm, med_name, med_category, med_dose, med_dose_unit
    • med_category = "norepinephrine", "epinephrine", "phenylephrine", "vasopressin", "dopamine", "angiotensin", "nicardipine", "nitroprusside", "clevidipine", "cisatracurium"
  6. respiratory_support: hospitalization_id, recorded_dttm, device_category, mode_category, tracheostomy, fio2_set, lpm_set, resp_rate_set, peep_set, resp_rate_obs

Cohort identification

Describe study cohort inclusion and exclusion criteria here

Expected Results

Describe the output of the analysis. The final project results should be saved in the output/final directory.

Detailed Instructions for running the project

1. Update config/config.json

Follow instructions in the config/README.md file for detailed configuration steps.

2. Set up the project environment

Describe the steps to setup the project environment.

Example for Python: Open your terminal and run the following commands:

if Mac/Linux:
python3 -m venv .ltach_ats24
source .ltach_ats24/bin/activate
pip install -r requirements.txt

if Windows:
python -m venv .ltach_ats24
call .ltach_ats24\Scripts\activate.bat
pip install -r requirements.txt

3. Run cohort identification and analysis code

Detailed instructions on the code workflow are provided in the code directory

Example Repositories


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