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Job request: 20927

Organisation:
Bennett Institute
Workspace:
waiting-list
ID:
a3byvgjhyfne6gra
View repo View project.yaml

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

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level various outputs were written to. Researchers can never directly view outputs marked as highly_sensitive ; they can only request that code runs against them. Outputs marked as moderately_sensitive can be viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as moderately_sensitive can be requested for release to the public, via a controlled output review service.

Jobs

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 1000

actions:

  # Closed (completed) RTT pathways
  generate_dataset_clockstops:
    run: ehrql:v0 generate-dataset analysis/dataset_definition_clockstops.py 
      --output output/data/dataset_clockstops.csv.gz
    outputs:
      highly_sensitive:
        cohort: output/data/dataset_clockstops.csv.gz  

  measures_any_opioid:
    run: ehrql:v0 generate-measures analysis/measures_any_opioid.py 
      --output output/measures/measures_any_opioid.csv
    outputs:
      moderately_sensitive:
        measure_csv: output/measures/measures_any_opioid.csv
  
  measures_hi_opioid:
    run: ehrql:v0 generate-measures analysis/measures_hi_opioid.py 
      --output output/measures/measures_hi_opioid.csv
    outputs:
      moderately_sensitive:
        measure_csv: output/measures/measures_hi_opioid.csv
        
  # Open (incomplete) RTT pathways
  # generate_dataset_openpathways:
  #   run: ehrql:v0 generate-dataset analysis/dataset_definition_openpathways.py 
  #     --output output/data/dataset_table_openpathways.csv.gz
  #   outputs:
  #     highly_sensitive:
  #       cohort: output/data/dataset_openpathways.csv.gz  
  
  checks_clockstops:
   run: r:latest analysis/clockstops/checks_clockstops.R
   needs: [generate_dataset_clockstops]
   outputs:
      moderately_sensitive:
        data: output/clockstops/*.csv

  full_cohort_clockstops:
   run: r:latest analysis/clockstops/full_cohort_clockstops.R
   needs: [generate_dataset_clockstops]
   outputs:
      highly_sensitive:
        cohort: output/data/cohort_full*.csv.gz
      moderately_sensitive:
        data1: output/clockstops/rtt_dates.csv
        data2: output/clockstops/cat_var_dist.csv
        data3: output/clockstops/wait_time_pcent.csv
        data4: output/clockstops/med_counts_by_period.csv
        plots: output/clockstops/plot_*.png

  ortho_clockstops:
   run: r:latest analysis/clockstops/ortho_cohort_clockstops.R
   needs: [full_cohort_clockstops]
   outputs:
      highly_sensitive:
        cohort: output/data/cohort_ortho*.csv.gz
      moderately_sensitive:
        data1: output/clockstops/rtt_dates_ortho.csv
        data2: output/clockstops/cat_var_dist_ortho.csv
        data3: output/clockstops/wait_time_pcent_ortho.csv
        data4: output/clockstops/med_counts_by_period_ortho.csv
        plots: output/clockstops/plot*.png  

  opioids_by_week:
   run: r:latest analysis/clockstops/opioids_by_week.R
   needs: [measures_any_opioid, measures_hi_opioid]
   outputs:
      moderately_sensitive:
        data: output/clockstops/opioid*.csv
        plots: output/clockstops/plo*.png

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:46

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

Job information

Status
Succeeded
Backend
TPP
Workspace
waiting-list
Requested by
Andrea Schaffer
Branch
main
Force run dependencies
No
Git commit hash
27f441b
Requested actions
  • checks_clockstops

Code comparison

Compare the code used in this Job Request