Job request: 23740
- Organisation:
 - Bennett Institute
 - Workspace:
 - pharmacy-first-report
 - ID:
 - dr5mskz4jrxnew7r
 
This page shows the technical details of what happened when the authorised researcher Milan Wiedemann 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
- 
                
- Job identifier:
 - 
                    
                    
kigk36otehhcqyhd 
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- Job identifier:
 - 
                    
                    
iqbfybmxe3jb7c3z 
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- Job identifier:
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irngiokw5d6etu43 
 
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_consultation_measures:
    run: >
      ehrql:v1 generate-measures analysis/measures_definition_pf_codes_conditions.py
      --output output/measures/pf_codes_conditions_measures.csv
    outputs:
      moderately_sensitive:
        measure: output/measures/pf_codes_conditions_measures.csv
  generate_pf_medication_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
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Created:
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Started:
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Finished:
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Runtime: 10:37:45
 
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
 - 
            Succeeded
 - Backend
 - TPP
 - Workspace
 - pharmacy-first-report
 - Requested by
 - Milan Wiedemann
 - Branch
 - main
 - Force run dependencies
 - No
 - Git commit hash
 - 3012fb8
 - Requested actions
 - 
            
- 
                  
run_all 
 - 
                  
 
Code comparison
Compare the code used in this job request