Job request: 21016
- Organisation:
- Bennett Institute
- Workspace:
- waiting-list
- ID:
- g3yw5yozoqsfxwa4
This page shows the technical details of what happened when the authorised researcher Andrea Schaffer 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:
-
fzijp4rktrw6bcsg
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
##### Dataset definitions #####
# Closed (completed) RTT pathways
generate_dataset_clockstops:
run: ehrql:v0 generate-dataset analysis/dataset_definition_clockstops.py
--output output/data/dataset_clockstops.csv.gz
outputs:
highly_sensitive:
cohort: output/data/dataset_clockstops.csv.gz
# Open (incomplete) RTT pathways
# generate_dataset_openpathways:
# run: ehrql:v0 generate-dataset analysis/dataset_definition_openpathways.py
# --output output/data/dataset_openpathways.csv.gz
# outputs:
# highly_sensitive:
# cohort: output/data/dataset_openpathways.csv.gz
#### Check pathways over time ####
measures_checks:
run: ehrql:v0 generate-measures analysis/measures_checks.py
--output output/measures/measures_checks.csv
outputs:
moderately_sensitive:
measure_csv: output/measures/measures_checks.csv
##### Opioid measures - closed pathways #####
measures_any_opioid:
run: ehrql:v0 generate-measures analysis/measures_any_opioid.py
--output output/measures/measures_any_opioid.csv
--dummy-data-file dummy/dummy_any_opioid.csv
outputs:
moderately_sensitive:
measure_csv: output/measures/measures_any_opioid.csv
measures_hi_opioid:
run: ehrql:v0 generate-measures analysis/measures_hi_opioid.py
--output output/measures/measures_hi_opioid.csv
--dummy-data-file dummy/dummy_hi_opioid.csv
outputs:
moderately_sensitive:
measure_csv: output/measures/measures_hi_opioid.csv
# opioids_by_week:
# run: r:latest analysis/clockstops/opioids_by_week.R
# needs: [measures_any_opioid, measures_hi_opioid]
# outputs:
# moderately_sensitive:
# data: output/clockstops/opioid*.csv
# plots: output/clockstops/plo*.png
##### Analysis - closed pathways #####
checks_clockstops:
run: r:latest analysis/clockstops/checks_clockstops.R
needs: [generate_dataset_clockstops]
outputs:
moderately_sensitive:
data: output/clockstops/check*.csv
# final_cohort_clockstops:
# run: r:latest analysis/clockstops/final_cohort_clockstops.R
# needs: [generate_dataset_clockstops]
# outputs:
# highly_sensitive:
# cohort: output/data/cohort*.csv.gz
# full_stats_clockstops:
# run: r:latest analysis/clockstops/full_stats_clockstops.R
# needs: [final_cohort_clockstops]
# outputs:
# moderately_sensitive:
# data1: output/clockstops/rtt_dates.csv
# data2: output/clockstops/cat_var_dist.csv
# data3: output/clockstops/wait_time_pcent.csv
# data4: output/clockstops/wait_time.csv
# data5: output/clockstops/med_counts_by_period.csv
# plots: output/clockstops/plot_*.png
# ortho_stats_clockstops:
# run: r:latest analysis/clockstops/ortho_stats_clockstops.R
# needs: [final_cohort_clockstops]
# outputs:
# moderately_sensitive:
# data1: output/clockstops/rtt_dates_ortho.csv
# data2: output/clockstops/cat_var_dist_ortho.csv
# data3: output/clockstops/wait_time_pcent_ortho.csv
# data4: output/clockstops/wait_time_ortho.csv
# data5: output/clockstops/med_counts_by_period_ortho.csv
# plots: output/clockstops/plot*.png
##### Analysis - open pathways #####
# checks_openpathways:
# run: r:latest analysis/openpathways/checks_openpathways.R
# needs: [generate_dataset_openpathways]
# outputs:
# moderately_sensitive:
# data: output/openpathways/*.csv
# final_cohort_openpathways:
# run: r:latest analysis/openpathways/final_cohort_openpathways.R
# needs: [generate_dataset_openpathways]
# outputs:
# highly_sensitive:
# cohort: output/data/cohor*.csv.gz
# full_stats_openpathways:
# run: r:latest analysis/openpathways/full_stats_openpathways.R
# needs: [final_cohort_openpathways]
# outputs:
# moderately_sensitive:
# data1: output/openpathways/rtt_dates_open.csv
# data2: output/openpathways/cat_var_dist_open.csv
# data3: output/openpathways/wait_time_pcent_open.csv
# data4: output/openpathways/wait_time_open.csv
# data5: output/openpathways/med_counts_by_period_open.csv
# plots: output/openpathways/plot_*.png
# ortho_stats_openpathways:
# run: r:latest analysis/openpathways/ortho_stats_openpathways.R
# needs: [final_cohort_openpathways]
# outputs:
# moderately_sensitive:
# data1: output/openpathways/rtt_dates_ortho_open.csv
# data2: output/openpathways/cat_var_dist_ortho_open.csv
# data3: output/openpathways/wait_time_pcent_ortho_open.csv
# data4: output/openpathways/wait_time_ortho_open.csv
# data5: output/openpathways/med_counts_by_period_ortho_open.csv
# plots: output/openpathways/plot*.png
Timeline
-
Created:
-
Started:
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Finished:
-
Runtime: 00:47:11
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- waiting-list
- Requested by
- Andrea Schaffer
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 840b93a
- Requested actions
-
-
measures_checks
-
Code comparison
Compare the code used in this job request