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Job request: 9835

Organisation:
Bennett Institute
Workspace:
shared-care-monitoring
ID:
a7s6onitnkht3juf
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Andrew Brown 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: '3.0'

expectations:
  population_size: 1000

actions:

  generate_study_population_1:
     run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-02-01 to 2021-02-01 by month" --output-format csv.gz
     outputs:
       highly_sensitive:
         cohort: output/input_*.csv.gz
       
  generate_study_population_ethnicity:    
    run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_ethnicity.csv.gz

  join_cohorts:
    run: >
      cohort-joiner:v0.0.7
        --lhs output/input_20*.csv.gz
        --rhs output/input_ethnicity.csv.gz
        --output-dir output/joined
    needs: [generate_study_population_1, generate_study_population_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/joined/input_20*.csv.gz
                  
  generate_measures:
     run: cohortextractor:latest generate_measures --study-definition study_definition --skip-existing --output-dir output/joined
     needs: [join_cohorts]
     outputs:
       moderately_sensitive:
         measure_csv: output/joined/measure_*_rate.csv
             
  generate_event_deciles_charts:
     run: >
       deciles-charts:v0.0.21
         --input-files output/joined/measure_all_sc_overdue_monitoring_rate.csv
         --output-dir output/joined
     needs: [generate_measures]
     outputs:
       moderately_sensitive:
         deciles_charts: output/joined/deciles_*_monitoring_rate.*
         
  generate_practice_deciles_charts:
     run: >
       deciles-charts:v0.0.21
         --input-files output/joined/measure_all_sc_overdue_monitoring_by_practice_rate.csv
         --output-dir output/joined
     needs: [generate_measures]
     outputs:
       moderately_sensitive:
         deciles_charts: output/joined/deciles_*_by_practice_rate.*
              
  generate_plots:
     run: python:latest python analysis/plots.py
     needs: [generate_measures]
     outputs:
       moderately_sensitive:
         counts: output/joined/plot_*.png

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 14:06:33

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

Job request

Status
Succeeded
Backend
TPP
Workspace
shared-care-monitoring
Requested by
Andrew Brown
Branch
main
Force run dependencies
Yes
Git commit hash
6ac7b80
Requested actions
  • run_all

Code comparison

Compare the code used in this job request