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Job request: 27042

Organisation:
Bennett Institute
Workspace:
pharmacy-first-data-development
ID:
oqadvtprfpu4oilf
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 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

  • Action:
    generate_study_population
    Status:
    Succeeded
    Job identifier:
    j2x6wff4q37k3u2b
  • Action:
    describe_study_population
    Status:
    Succeeded
    Job identifier:
    6z4sk5ogz645vnjg

Pipeline

Show project.yaml 
version: '5.0'

actions:

  generate_med_status_data_development:
    run: >
      ehrql:v1 generate-dataset analysis/dataset_definition_med_status_data_development.py
        --output output/data_development/med_status_data_development.arrow
    outputs:
      highly_sensitive:
        dataset: output/data_development/med_status_data_development.arrow

  generate_med_status_data_development_fixed:
    run: >
      ehrql:v1 generate-dataset analysis/dataset_definition_med_status_data_development_fixed.py
        --output output/data_development/med_status_data_development_fixed.arrow
    outputs:
      highly_sensitive:
        dataset: output/data_development/med_status_data_development_fixed.arrow

  generate_measures_pf_codes:
    run: > 
      ehrql:v1 generate-measures analysis/measures_definition_clinical_codes.py
      --output output/clinical_codes/code_counts_measures.csv
    outputs:
      moderately_sensitive:
        measure: output/clinical_codes/code_counts_measures.csv

  data_development_med_status_pre:
     run: r:v2 analysis/data_development_med_status_pre_counts.R
     needs: [generate_med_status_data_development]
     outputs:
       moderately_sensitive:
         dataset: output/data_development/med_status_pre_counts.csv
  
  data_development_med_status_post:
     run: r:v2 analysis/data_development_med_status_post_counts.R
     needs: [generate_med_status_data_development]
     outputs:
       moderately_sensitive:
         dataset: output/data_development/med_status_post_counts.csv
    
  data_development_med_status_post_fixed:
      run: r:v2 analysis/data_development_med_status_post_counts_fixed.R
      needs: [generate_med_status_data_development_fixed]
      outputs:
        moderately_sensitive:
          dataset: output/data_development/med_status_post_counts_fixed.csv

  data_development_med_status_combine:
     run: r:v2 analysis/data_development_med_status_combine.R
     needs: [data_development_med_status_pre, data_development_med_status_post]
     outputs:
       moderately_sensitive:
         dataset: output/data_development/med_status_counts.csv

  generate_pf_med_counts_measures:
    run: >
      ehrql:v1 generate-measures analysis/measures_definition_pf_consultation_med_counts.py
      --dummy-tables dummy_tables
      --output output/measures/consultation_med_counts_measures.csv
    outputs:
      moderately_sensitive:
        measure: output/measures/consultation_med_counts_measures.csv

  generate_med_status_counts_measures:
    run: >
      ehrql:v1 generate-measures analysis/measures_med_status_counts.py
      --output output/measures/measures_med_status_counts.csv
    outputs:
      moderately_sensitive:
        measure: output/measures/measures_med_status_counts.csv

  generate_study_population:
    run: >
      ehrql:v1 generate-dataset analysis/dataset_definition_study_population.py
        --output output/study_population/study_population.arrow
    outputs:
      highly_sensitive:
        dataset: output/study_population/study_population.arrow

  describe_study_population:
    run: r:v3 analysis/describe_study_population.R
    needs: [generate_study_population]
    outputs:
      moderately_sensitive:
        dataset: output/study_population/study_population_summary.csv

Job statistics

Status Count Percentage
Pending 0 0%
Running 0 0%
Succeeded 2 100%
Failed 0 0%

2 / 2 (100%) complete

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:08:12

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

Job request

Status
Succeeded
Backend
TPP
Workspace
pharmacy-first-data-development
Requested by
Viveck Kingsley
Branch
main
Force run dependencies
Yes
Git commit hash
efbe7f4
Requested actions
  • generate_study_population
  • describe_study_population

Code comparison

Compare the code used in this job request