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Job request: 23746

Organisation:
Bennett Institute
Workspace:
pharmacy-first-report
ID:
oy4ixmqo4iugbv3j
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Viveck Kingsley 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'

# Ignore this`expectation` block. It is required but not used, and will be removed in future versions.
expectations:
  population_size: 1000

actions:
  generate_pf_breakdown_measures:
    run: >
      ehrql:v1 generate-measures analysis/measures_definition_pf_breakdown.py
      --output output/measures/pf_breakdown_measures.csv
    outputs:
      moderately_sensitive:
        measure: output/measures/pf_breakdown_measures.csv

  generate_pf_condition_provider_measures:
    run: >
      ehrql:v1 generate-measures analysis/measures_definition_pf_condition_provider.py
      --output output/measures/pf_condition_provider_measures.csv
    outputs:
      moderately_sensitive:
        measure: output/measures/pf_condition_provider_measures.csv

  generate_pf_medications_measures:
    run: >
      ehrql:v1 generate-measures analysis/measures_definition_pf_medications.py
      --dummy-tables dummy_tables
      --output output/measures/pf_medications_measures.csv
    outputs:
      moderately_sensitive:
        measure: output/measures/pf_medications_measures.csv

  generate_pf_dataset_definition:
    run: >
      ehrql:v1
       generate-dataset analysis/pf_dataset_definition.py
       --test-data-file analysis/test_pf_dataset_definition.py
       --output output/population/pf_population.csv.gz
    outputs:
      highly_sensitive:
        cohort: output/population/pf_population.csv.gz

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 04:04:31

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

Job information

Status
Succeeded
Backend
TPP
Workspace
pharmacy-first-report
Requested by
Viveck Kingsley
Branch
main
Force run dependencies
No
Git commit hash
f88c7ea
Requested actions
  • generate_pf_condition_provider_measures

Code comparison

Compare the code used in this Job Request