Skip to content

Job request: 23928

Organisation:
Bennett Institute
Workspace:
wp-work-package-1
ID:
wbqcrsdqz7oftqv2
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Jaidip Gill 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:
  generate_patient_measures:
    run: ehrql:v1 generate-measures --output output/patient_measures/patient_measures.csv.gz analysis/wp_patient_measures_def.py
    outputs:
      highly_sensitive:
        dataset: output/patient_measures/patient_measures.csv.gz
  generate_practice_measures:
    run: ehrql:v1 generate-measures --output output/practice_measures/practice_measures.csv.gz analysis/wp_practice_measures_def.py
    outputs:
      highly_sensitive:
        dataset: output/practice_measures/practice_measures.csv.gz
  # generate_app_measures:
  #   run: ehrql:v1 generate-measures --output output/appointments/app_measures.csv analysis/appointments/app_measures.py
  #   outputs:
  #     moderately_sensitive:
  #       dataset: output/appointments/app_measures.csv
  # generate_app_viz:
  #   run: r:latest analysis/appointments/app_viz.r
  #   needs: [generate_app_measures]
  #   outputs:
  #     moderately_sensitive:
  #       app_figures: output/appointments/*.png
  # generate_app_summary:
  #   run: python:latest analysis/appointments/app_summary.py
  #   needs: [generate_app_measures]
  #   outputs:
  #     moderately_sensitive:
  #       app_table: output/appointments/app_summary.csv
  # generate_pre_processing:
  #   run: python:latest analysis/pre_processing.py 
  #       --output output/practice_measures/processed_practice_measures.csv.gz
  #       --output output/patient_measures/processed_patient_measures.csv.gz
  #       --output output/patient_measures/frequency_table.csv
  #   needs: [generate_patient_measures, generate_practice_measures]
  #   outputs:
  #     highly_sensitive:
  #       practice_measure: output/practice_measures/processed_practice_measures.csv.gz
  #       patient_measure: output/patient_measures/processed_patient_measures.csv.gz
  #     moderately_sensitive:
  #       frequency_table: output/patient_measures/frequency_table.csv
  # generate_measures_viz:
  #   run: r:latest analysis/viz_measures.r
  #   needs: [generate_pre_processing]
  #   outputs:
  #     moderately_sensitive:
  #       app_figures: output/*/*.png
  #       total_measures: output/total_measures/*.csv
  # generate_test_data:
  #   run: ehrql:v1 generate-dataset analysis/dataset.py --output output/patient_measures/test.csv --test-data-file analysis/test_dataset.py
  #   outputs:
  #     highly_sensitive:
  #       dataset: output/patient_measures/test.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 02:26:47

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

Job information

Status
Succeeded
Backend
TPP
Workspace
wp-work-package-1
Requested by
Jaidip Gill
Branch
main
Force run dependencies
No
Git commit hash
e9887f6
Requested actions
  • generate_practice_measures

Code comparison

Compare the code used in this Job Request