Job request: 9757
- Organisation:
- NHSE/I
- Workspace:
- nhs_at_home_main
- ID:
- tpjh3t5x2qlizubo
This page shows the technical details of what happened when the authorised researcher Jennifer Hall 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:
-
gnhicqq3emiqfsur
Pipeline
Show project.yaml
version: "3.0"
expectations:
population_size: 1000
actions:
generate_study_definition_static:
run: cohortextractor:latest generate_cohort --study-definition study_definition_static
outputs:
highly_sensitive:
cohort: output/input_static.csv
# Oximetry
generate_study_population_oximetry:
run: cohortextractor:latest generate_cohort --study-definition study_definition_oximetry --index-date-range "2019-04-01 to 2022-05-30 by week"
outputs:
highly_sensitive:
oximetry_cohort: output/oximetry/0.1_generate_study_population/input_oximetry*.csv
join_cohorts_oximetry:
run: cohort-joiner:v0.0.30 --lhs output/oximetry/0.1_generate_study_population/input_oximetry*.csv --rhs output/input_static.csv --output-dir output/oximetry/0.2_join_cohorts/
needs:
[generate_study_population_oximetry, generate_study_definition_static]
outputs:
highly_sensitive:
cohort: output/oximetry/0.2_join_cohorts/input_oximetry*.csv
# BP
generate_study_population_bp:
run: cohortextractor:latest generate_cohort --study-definition study_definition_bp --index-date-range "2019-04-01 to 2022-05-30 by week"
outputs:
highly_sensitive:
bp_cohort: output/bp/0.1_generate_study_population/input_bp*.csv
join_cohorts_bp:
run: cohort-joiner:v0.0.30 --lhs output/bp/0.1_generate_study_population/input_bp*.csv --rhs output/input_static.csv --output-dir output/bp/0.2_join_cohorts/
needs: [generate_study_population_bp, generate_study_definition_static]
outputs:
highly_sensitive:
cohort: output/bp/0.2_join_cohorts/input_bp*.csv
# Proactive
generate_study_population_proactive:
run: cohortextractor:latest generate_cohort --study-definition study_definition_proactive --index-date-range "2019-04-01 to 2022-05-30 by week"
outputs:
highly_sensitive:
proactive_cohort: output/proactive/0.1_generate_study_population/input_proactive*.csv
join_cohorts_proactive:
run: cohort-joiner:v0.0.30 --lhs output/proactive/0.1_generate_study_population/input_proactive*.csv --rhs output/input_static.csv --output-dir output/proactive/0.2_join_cohorts/
needs:
[generate_study_population_proactive, generate_study_definition_static]
outputs:
highly_sensitive:
cohort: output/proactive/0.2_join_cohorts/input_proactive*.csv
# # Analysis
# generate_oximetry_timeseries:
# run: python:latest python analysis/analysis_oximetry_timeseries.py
# needs: [join_cohorts_oximetry]
# outputs:
# moderately_sensitive:
# oximetry_table_counts: output/oximetry_table_counts.csv
# oximetry_plot_timeseries: output/oximetry_plot_timeseries.png
# generate_oximetry_regional_timeseries:
# run: python:latest python analysis/analysis_oximetry_region.py
# needs: [join_cohorts_oximetry]
# outputs:
# moderately_sensitive:
# oximetry_table_counts_region: output/oximetry_table_counts_*.csv
# oximetry_plot_timeseries_region: output/oximetry_plot_timeseries_region_*.png
# generate_oximetry_breakdowns:
# run: python:latest python analysis/analysis_oximetry_breakdowns.py
# needs: [join_cohorts_oximetry]
# outputs:
# moderately_sensitive:
# oximetry_table_breakdowns: output/oximetry_table_code_*.csv
# oximetry_plot_breakdowns: output/oximetry_plot_code_*.png
# generate_oximetry_codes_analysis:
# run: python:latest python analysis/analysis_oximetry_codes.py
# needs: [join_cohorts_oximetry]
# outputs:
# moderately_sensitive:
# oximetry_table_code_counts: output/oximetry_table_code_counts_*.csv
# oximetry_table_code_combinations: output/oximetry_table_code_combinations.csv
# generate_oximetry_no_codes_analysis:
# run: python:latest python analysis/analysis_oximetry_no_codes.py
# needs: [join_cohorts_oximetry]
# outputs:
# moderately_sensitive:
# oximetry_table_no_codes_used: output/oximetry_table_no_codes_used.csv
# generate_bp_timeseries:
# run: python:latest python analysis/analysis_bp_timeseries.py
# needs: [join_cohorts_bp]
# outputs:
# moderately_sensitive:
# bp_table_counts: output/bp_table_counts.csv
# bp_plot_timeseries: output/bp_plot_timeseries.png
# generate_bp_regional_timeseries:
# run: python:latest python analysis/analysis_bp_region.py
# needs: [join_cohorts_bp]
# outputs:
# moderately_sensitive:
# bp_table_counts_region: output/bp_table_counts_*.csv
# bp_plot_timeseries_region: output/bp_plot_timeseries_region_*.png
# generate_bp_breakdowns:
# run: python:latest python analysis/analysis_bp_breakdowns.py
# needs: [join_cohorts_bp]
# outputs:
# moderately_sensitive:
# bp_table_breakdowns: output/bp_table_code_*.csv
# bp_plot_breakdowns: output/bp_plot_code_*.png
# generate_bp_codes_analysis:
# run: python:latest python analysis/analysis_bp_codes.py
# needs: [join_cohorts_bp]
# outputs:
# moderately_sensitive:
# bp_table_code_counts: output/bp_table_code_counts_*.csv
# bp_table_code_combinations: output/bp_table_code_combinations.csv
# generate_bp_no_codes_analysis:
# run: python:latest python analysis/analysis_bp_no_codes.py
# needs: [join_cohorts_bp]
# outputs:
# moderately_sensitive:
# bp_table_no_codes_used: output/bp_table_no_codes_used.csv
# generate_proactive_timeseries:
# run: python:latest python analysis/analysis_proactive_timeseries.py
# needs: [join_cohorts_proactive]
# outputs:
# moderately_sensitive:
# proactive_table_counts: output/proactive_table_counts.csv
# proactive_plot_timeseries: output/proactive_plot_timeseries.png
# generate_proactive_regional_timeseries:
# run: python:latest python analysis/analysis_proactive_region.py
# needs: [join_cohorts_proactive]
# outputs:
# moderately_sensitive:
# proactive_table_counts_region: output/proactive_table_counts_*.csv
# proactive_plot_timeseries_region: output/proactive_plot_timeseries_region_*.png
# generate_proactive_breakdowns:
# run: python:latest python analysis/analysis_proactive_breakdowns.py
# needs: [join_cohorts_proactive]
# outputs:
# moderately_sensitive:
# proactive_table_breakdowns: output/proactive_table_code_*.csv
# proactive_plot_breakdowns: output/proactive_plot_code_*.png
# generate_proactive_codes_analysis:
# run: python:latest python analysis/analysis_proactive_codes.py
# needs: [join_cohorts_proactive]
# outputs:
# moderately_sensitive:
# proactive_table_code_counts: output/proactive_table_code_counts_*.csv
# generate_proactive_no_codes_analysis:
# run: python:latest python analysis/analysis_proactive_no_codes.py
# needs: [join_cohorts_proactive]
# outputs:
# moderately_sensitive:
# proactive_table_no_codes_used: output/proactive_table_no_codes_used.csv
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime:
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- nhs_at_home_main
- Requested by
- Jennifer Hall
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 1cae300
- Requested actions
-
-
run_all
-
Code comparison
Compare the code used in this Job Request