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Job request: 2420

Organisation:
Workspace:
antipsychotics-prescribing-during-covid-19-isd
ID:
7k67vvmdwdzm32df
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Millie Green requested one or more actions to be run against real patient data within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.

The output security levels are:

  • highly_sensitive
    • Researchers can never directly view these outputs
    • Researchers can only request code is run against them
  • moderately_sensitive
    • Can be viewed by an approved researcher by logging into a highly secure environment
    • These are the only outputs that can be requested for public release via a controlled output review service.

Jobs

  • Action:
    data_summaries
    Status:
    Status: Succeeded
    Job identifier:
    vk4zzr5imdzeji4t

Pipeline

Show project.yaml 
######################################

# This script defines the project pipeline - it specifys the execution orders for all the code in this
# repo using a series of actions.

######################################

version: '3.0'

expectations:
  population_size: 100000

actions:

  # Extract cohort data
  
  ## Learning disability
  generate_ld_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_ld --index-date-range "2019-01-01 to 2021-04-01 by month" --output-dir=output/data --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_ld_*.feather
  
  ## Autism
  generate_autism_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_autism --index-date-range "2019-01-01 to 2021-04-01 by month" --output-dir=output/data --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_autism_*.feather
  
  ## Serious Mental Illness
  generate_smi_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_smi --index-date-range "2019-01-01 to 2021-04-01 by month" --output-dir=output/data --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_smi_*.feather
  
  ## Care home
  generate_care_home_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_care_home --index-date-range "2019-01-01 to 2021-04-01 by month" --output-dir=output/data --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_care_home_*.feather
  
  ## Dementia
  generate_dementia_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_dementia --index-date-range "2019-01-01 to 2021-04-01 by month" --output-dir=output/data --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_dementia_*.feather
  
  ## Ethnicity      
  generate_study_population_ethnicity:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-dir=output/data --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_ethnicity.feather
        
  
  # Data processing
  
  ## Add ethnicity
  join_ethnicity:
    run: python:latest python analysis/python/scripts/join_ethnicity.py
    needs: [generate_ld_cohort, generate_autism_cohort, generate_smi_cohort, generate_care_home_cohort, generate_dementia_cohort, generate_study_population_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/data/input*.feather
        
  
  # Generate measures data
  
  ## Learning disability
  generate_measures_ld:
      run: cohortextractor:latest generate_measures --study-definition study_definition_ld --output-dir=output/data
      needs: [join_ethnicity]
      outputs:
        moderately_sensitive:
          measure_csv: output/data/measure_ld_*.csv
          
  ## Autism
  generate_measures_autism:
      run: cohortextractor:latest generate_measures --study-definition study_definition_autism --output-dir=output/data
      needs: [join_ethnicity]
      outputs:
        moderately_sensitive:
          measure_csv: output/data/measure_autism_*.csv

  ## Serious Mental Illness
  generate_measures_smi:
      run: cohortextractor:latest generate_measures --study-definition study_definition_smi --output-dir=output/data
      needs: [join_ethnicity]
      outputs:
        moderately_sensitive:
          measure_csv: output/data/measure_smi_*.csv

  ## Care home
  generate_measures_care_home:
      run: cohortextractor:latest generate_measures --study-definition study_definition_care_home --output-dir=output/data
      needs: [join_ethnicity]
      outputs:
        moderately_sensitive:
          measure_csv: output/data/measure_care_home_*.csv

  ## Dementia
  generate_measures_dementia:
      run: cohortextractor:latest generate_measures --study-definition study_definition_dementia --output-dir=output/data
      needs: [join_ethnicity]
      outputs:
        moderately_sensitive:
          measure_csv: output/data/measure_dementia_*.csv

  # # Patient to practice lookup
  # generate_study_population_practice_count:
  #   run: cohortextractor:latest generate_cohort --study-definition study_definition_practice_count --output-dir=output/data
  #   outputs:
  #     highly_sensitive:
  #       cohort: output/data/input_practice_count.csv
  # 
  #         
  # # Practice counts
  # get_practice_count:
  #   run: python:latest python analysis/python/scripts/get_practice_count.py --output-dir=output/data
  #   needs: [generate_study_population_practice_count]
  #   outputs:
  #     moderately_sensitive:
  #       text: output/data/practice_count.json
  # 
  # # Patient counts
  # get_patient_count:
  #   run: python:latest python analysis/python/scripts/get_patients_counts.py --output-dir=output/data
  #   needs: [generate_study_population]
  #   outputs:
  #     moderately_sensitive:
  #       text: output/data/patient_count.json
  #       
  # Measures notebook
  # generate_notebook:
  #   run: jupyter:latest jupyter nbconvert /workspace/analysis/python/notebooks/antipsychotics_measures.ipynb --execute --to html --output-dir=/workspace/output/results --ExecutePreprocessor.timeout=86400 --no-input
  #   needs: [generate_measures_ld]
  #   outputs:
  #     moderately_sensitive:
  #       notebook: output/results/antipsychotics_measures.html

#   # Process data
#   data_process:
#     run: r:latest analysis/r/scripts/00_process_data.R
#     needs: [generate_ld_cohort, generate_measures_ld]
#     outputs:
#       highly_sensitive:
#         data: output/data/data_processed.rds
        
  # Data summaries
  data_summaries:
    run: r:latest -e 'rmarkdown::render("analysis/r/markdown/data_summaries.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
    needs: [generate_ld_cohort, join_ethnicity]
    outputs:
      moderately_sensitive:
        html: output/data_summaries.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:08

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job request

Status
Succeeded
Backend
TPP
Workspace
antipsychotics-prescribing-during-covid-19-isd
Requested by
Millie Green
Branch
individual-study-defs
Force run dependencies
No
Git commit hash
b7a4e07
Requested actions
  • data_summaries

Code comparison

Compare the code used in this job request