Skip to content

Job request: 20910

Organisation:
Bennett Institute
Workspace:
waiting-list
ID:
krgicx7r3rvgzrzx
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 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:

  # 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
        plots: output/clockstops/*.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/plot*.png

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 31:09:19

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

Job request

Status
Succeeded
Backend
TPP
Workspace
waiting-list
Requested by
Andrea Schaffer
Branch
main
Force run dependencies
Yes
Git commit hash
470eeff
Requested actions
  • run_all

Code comparison

Compare the code used in this job request