Job request: 24537
- Organisation:
- NHS England
- Workspace:
- adhd-pre-and-post-covid
- ID:
- fr3dxgyn72til3th
This page shows the technical details of what happened when the authorised researcher Kin Quan 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
-
- Job identifier:
-
v6tznesz7k5muoii
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: 5000
actions:
generate_dataset:
run: >
ehrql:v1 generate-dataset analysis/dataset_definition_dx_to_med_time.py
--output output/adhd_dataset.csv.gz
outputs:
highly_sensitive:
adhd_dataset: output/adhd_dataset.csv.gz
generate_output_table:
run: python:v2 python analysis/calculate_time_diff_from_dx_to_med.py
needs: [generate_dataset]
outputs:
moderately_sensitive:
table1: output/adhd_dia_med_gap_weeks.csv
generate_adhd_prevalence:
run: >
ehrql:v1 generate-measures analysis/measures_definition.py
--output output/adhd_prevalence.csv
outputs:
moderately_sensitive:
measure: output/adhd_prevalence.csv
thin_slice_medication:
run: >
ehrql:v1 generate-measures analysis/medication_thin_slice_measures.py
--output output/thin_slice_medication_measures.csv
outputs:
moderately_sensitive:
measure: output/thin_slice_medication_measures.csv
Table_3_with_ADHD_that_are_prescribed_ADHD_medication:
run: >
ehrql:v1 generate-measures analysis/Table_3_with_ADHD_that_are_prescribed_ADHD_medication.py
--output output/Table_3_with_ADHD_that_are_prescribed_ADHD_medication.csv
outputs:
moderately_sensitive:
measure: output/Table_3_with_ADHD_that_are_prescribed_ADHD_medication.csv
Table_3_without_ADHD_that_are_prescribed_ADHD_medication:
run: >
ehrql:v1 generate-measures analysis/Table_3_without_ADHD_that_are_prescribed_ADHD_medication.py
--output output/Table_3_without_ADHD_that_are_prescribed_ADHD_medication.csv
outputs:
moderately_sensitive:
measure: output/Table_3_without_ADHD_that_are_prescribed_ADHD_medication.csv
Table_3_with_ADHD_that_are_NOT_prescribed_ADHD_medication:
run: >
ehrql:v1 generate-measures analysis/Table_3_with_ADHD_that_are_NOT_prescribed_ADHD_medication.py
--output output/Table_3_with_ADHD_that_are_NOT_prescribed_ADHD_medication.csv
outputs:
moderately_sensitive:
measure: output/Table_3_with_ADHD_that_are_NOT_prescribed_ADHD_medication.csv
Patient_table_5_dia_to_med:
run: >
ehrql:v1 generate-dataset analysis/Patient_table_5_dia_to_med.py
--output output/Patient_table_5_dia_to_med.csv.gz
outputs:
highly_sensitive:
measure: output/Patient_table_5_dia_to_med.csv.gz
Table_5_time_from_diagnosis_to_treatment:
run: python:v2 python analysis/Table_5_time_from_diagnosis_to_treatment.py
needs: [Patient_table_5_dia_to_med]
outputs:
moderately_sensitive:
table1: output/Table_5_time_from_diagnosis_to_treatment.csv
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:44:46
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- adhd-pre-and-post-covid
- Requested by
- Kin Quan
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 2e38b1e
- Requested actions
-
-
Table_3_with_ADHD_that_are_prescribed_ADHD_medication
-
Code comparison
Compare the code used in this Job Request