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
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- Job identifier:
 - 
                    
                    
ukcj4ysz2xnv2lcy 
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- Job identifier:
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3gjij2bukp55wrvy 
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- Job identifier:
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b57ciysv6iun6usu 
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- Job identifier:
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yhf2wfupcsruj2lo 
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- Job identifier:
 - 
                    
                    
df7ugsmxfm3xsi4j 
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- Job identifier:
 - 
                    
                    
bqhgmmpkcilczonw 
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- Job identifier:
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ex4qijuq4ip75edm 
 
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
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Created:
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Started:
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Finished:
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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
Compare the code used in this job request
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