This page shows the technical details of what happened when authorised researcher Millie Green requested one or more actions to be run against real patient data in the Care Home Prescribing project, within a secure environment.
By cross-referencing the indicated Requested Actions with the Pipeline section below, you can infer what
security level various outputs were written to. Outputs
highly_sensitive can never be viewed directly by a
researcher; 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.
Show Hide project.yaml
version: '3.0' expectations: population_size: 10000 actions: generate_study_population: run: cohortextractor:latest generate_cohort --index-date-range "2019-10-01 to 2020-09-01 by month" --study-definition study_definition outputs: highly_sensitive: cohort: output/input_*.csv generate_study_population_ethnicity: run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-dir=output outputs: highly_sensitive: cohort: output/input_ethnicity.csv join_ethnicity: run: python:latest python analysis/join_ethnicity.py needs: [generate_study_population, generate_study_population_ethnicity] outputs: highly_sensitive: cohort: output/input*.csv ## Generate measures generate_measures: run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output needs: [generate_study_population, join_ethnicity] outputs: moderately_sensitive: measure_csv: output/measure_*.csv describe: run: python:latest python analysis/descriptives.py needs: [generate_study_population, generate_measures] outputs: moderately_sensitive: cohort: output/*.html
State is inferred from the related Jobs.
Timings set to UTC timezone.
- Runtime: 01:30:44