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Job request: 24236

Organisation:
Department of Health and Social Care
Workspace:
sv-analysis
ID:
fe3l7znu2z7jqtna

This page shows the technical details of what happened when the authorised researcher George Jenkins 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

Pipeline

Show project.yaml
version: '4.0'

actions:
  generate_dataset:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py 
          --output output/dataset.csv.gz
    outputs:
      highly_sensitive:
        dataset: output/dataset.csv.gz


  measures_base:
    run: ehrql:v1 generate-measures analysis/measures_base.py
      --output output/measures_base.csv
      --
      --start-date "2018-01-01"
      --intervals 72
    outputs:
      moderately_sensitive:
        measure_csv: output/measures_base.csv

  measures_demo:
    run: ehrql:v1 generate-measures analysis/measures_demo.py
      --output output/measures_demo.csv.gz
      --
      --start-date "2014-01-01"
      --intervals 120
    outputs:
      highly_sensitive:
        measure_csv: output/measures_demo.csv.gz

  measures_comorbidity:
    run: ehrql:v1 generate-measures analysis/measures_comorbidity.py
      --output output/measures_comorbidity.csv.gz
      --
      --start-date "2014-01-01"
      --intervals 120
    outputs:
      highly_sensitive:
        measure_csv: output/measures_comorbidity.csv.gz

  rates:
    run: python:latest analysis/rates_analysis.py
          --output output/monthly_sv_prescribed.svg
          --output output/monthly_new_starters.svg
    needs: [measures_base]
    outputs:
      moderately_sensitive:
        plot_total: output/monthly_sv_prescribed.svg
        plot_new_starter: output/monthly_new_starters.svg

  rates_comorbidity:
    run: python:latest analysis/sv_prescription_rates_by_condition.py
          --output output/prescription_rates_by_condition.svg
          --output output/prescription_rates_by_condition_interrupted_time_series.svg
    needs: [measures_comorbidity]
    outputs:
      moderately_sensitive:
        plot_conditions: output/prescription_rates_by_condition.svg
        plot_conditions_interrupted_time_series: output/prescription_rates_by_condition_interrupted_time_series.svg

  rates_by_demographics:
    run: python:latest analysis/sv_prescription_demographics_timeseries.py
          --output output/monthly_new_sv_starters_prescribed_ratio_by_sex.svg --output output/monthly_sv_conditions_prescribed_ratio_by_sex.svg
          --output output/monthly_new_sv_starters_prescribed_ratio_by_ethnicity.svg --output output/monthly_sv_conditions_prescribed_ratio_by_ethnicity.svg
          --output output/monthly_new_sv_starters_prescribed_ratio_by_age.svg --output output/monthly_sv_conditions_prescribed_ratio_by_age.svg
          --output output/monthly_new_sv_starters_prescribed_ratio_by_region.svg --output output/monthly_sv_conditions_prescribed_ratio_by_region.svg
          --output output/monthly_new_sv_starters_prescribed_ratio_by_imd_quintile.svg --output output/monthly_sv_conditions_prescribed_ratio_by_imd_quintile.svg
    needs: [measures_demo]
    outputs:
      moderately_sensitive:
        plot_sex_new_starter: output/monthly_new_sv_starters_prescribed_ratio_by_sex.svg
        plot_sex_sv_prescriptions: output/monthly_sv_conditions_prescribed_ratio_by_sex.svg
        plot_ethnicity_new_starter: output/monthly_new_sv_starters_prescribed_ratio_by_ethnicity.svg
        plot_ethnicity_sv_prescriptions: output/monthly_sv_conditions_prescribed_ratio_by_ethnicity.svg
        plot_age_new_starter: output/monthly_new_sv_starters_prescribed_ratio_by_age.svg
        plot_age_sv_prescriptions: output/monthly_sv_conditions_prescribed_ratio_by_age.svg
        plot_region_new_starter: output/monthly_new_sv_starters_prescribed_ratio_by_region.svg
        plot_region_sv_prescriptions: output/monthly_sv_conditions_prescribed_ratio_by_region.svg
        plot_imd_quintile_new_starter: output/monthly_new_sv_starters_prescribed_ratio_by_imd_quintile.svg
        plot_imd_quintile_sv_prescriptions: output/monthly_sv_conditions_prescribed_ratio_by_imd_quintile.svg

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 84:32:52

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

Job request

Status
Succeeded
Backend
TPP
Workspace
sv-analysis
Requested by
George Jenkins
Branch
main
Force run dependencies
No
Git commit hash
8131f8c
Requested actions
  • run_all

Code comparison

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