Job request: 26217
- Organisation:
- Bennett Institute
- Workspace:
- non-gp-prescribing
- ID:
- y6hxeptmexxrj7ql
This page shows the technical details of what happened when the authorised researcher Xi Xiong 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 request status:
- Nothing to do
- Status:
- Status: Nothing to do
- Job request status message:
-
All requested actions were already scheduled to run
Pipeline
Show project.yaml
version: '5.0'
actions:
generate_medication_status_0:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_0.py
--output output/medication_status_0.csv
--
--medication_status 0
outputs:
highly_sensitive:
dataset: output/medication_status_0.csv
generate_medication_status_4:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_4.py
--output output/medication_status_4.csv
--
--medication_status 4
outputs:
highly_sensitive:
dataset: output/medication_status_4.csv
generate_medication_status_5:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_5.py
--output output/medication_status_5.csv
--
--medication_status 5
outputs:
highly_sensitive:
dataset: output/medication_status_5.csv
generate_medication_status_7:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_7.py
--output output/medication_status_7.csv
--
--medication_status 7
outputs:
highly_sensitive:
dataset: output/medication_status_7.csv
generate_medication_status_8:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_8.py
--output output/medication_status_8.csv
--
--medication_status 8
outputs:
highly_sensitive:
dataset: output/medication_status_8.csv
generate_medication_status_9:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_9.py
--output output/medication_status_9.csv
--
--medication_status 9
outputs:
highly_sensitive:
dataset: output/medication_status_9.csv
generate_medication_status_10:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_10.py
--output output/medication_status_10.csv
--
--medication_status 10
outputs:
highly_sensitive:
dataset: output/medication_status_10.csv
generate_medication_status_11:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_11.py
--output output/medication_status_11.csv
--
--medication_status 11
outputs:
highly_sensitive:
dataset: output/medication_status_11.csv
generate_medication_status_12:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_12.py
--output output/medication_status_12.csv
--
--medication_status 12
outputs:
highly_sensitive:
dataset: output/medication_status_12.csv
generate_medication_status_13:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_13.py
--output output/medication_status_13.csv
--
--medication_status 13
outputs:
highly_sensitive:
dataset: output/medication_status_13.csv
generate_medication_status_14:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_14.py
--output output/medication_status_14.csv
--
--medication_status 14
outputs:
highly_sensitive:
dataset: output/medication_status_14.csv
generate_medication_status_15:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_15.py
--output output/medication_status_15.csv
--
--medication_status 15
outputs:
highly_sensitive:
dataset: output/medication_status_15.csv
generate_medication_status_16:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_16.py
--output output/medication_status_16.csv
--
--medication_status 16
outputs:
highly_sensitive:
dataset: output/medication_status_16.csv
generate_medication_status_17:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_17.py
--output output/medication_status_17.csv
--
--medication_status 17
outputs:
highly_sensitive:
dataset: output/medication_status_17.csv
generate_medication_status_18:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_18.py
--output output/medication_status_18.csv
--
--medication_status 18
outputs:
highly_sensitive:
dataset: output/medication_status_18.csv
generate_medication_status_19:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_19.py
--output output/medication_status_19.csv
--
--medication_status 19
outputs:
highly_sensitive:
dataset: output/medication_status_19.csv
generate_medication_status_20:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_20.py
--output output/medication_status_20.csv
--
--medication_status 20
outputs:
highly_sensitive:
dataset: output/medication_status_20.csv
generate_medication_status_21:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_21.py
--output output/medication_status_21.csv
--
--medication_status 21
outputs:
highly_sensitive:
dataset: output/medication_status_21.csv
generate_medication_status_22:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_22.py
--output output/medication_status_22.csv
--
--medication_status 22
outputs:
highly_sensitive:
dataset: output/medication_status_22.csv
generate_medication_status_23:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_23.py
--output output/medication_status_23.csv
--
--medication_status 23
outputs:
highly_sensitive:
dataset: output/medication_status_23.csv
generate_medication_status_24:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_24.py
--output output/medication_status_24.csv
--
--medication_status 24
outputs:
highly_sensitive:
dataset: output/medication_status_24.csv
generate_medication_status_25:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_25.py
--output output/medication_status_25.csv
--
--medication_status 25
outputs:
highly_sensitive:
dataset: output/medication_status_25.csv
generate_medication_status_26:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_26.py
--output output/medication_status_26.csv
--
--medication_status 26
outputs:
highly_sensitive:
dataset: output/medication_status_26.csv
generate_medication_status_27:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_27.py
--output output/medication_status_27.csv
--
--medication_status 27
outputs:
highly_sensitive:
dataset: output/medication_status_27.csv
generate_medication_status_28:
run: ehrql:v1 generate-dataset analysis/dataset_definition_med_status_28.py
--output output/medication_status_28.csv
--
--medication_status 28
outputs:
highly_sensitive:
dataset: output/medication_status_28.csv
table_medication_status_bnf:
run: stata-mp:v1 analysis/table_medication_status_bnf.do
needs:
- generate_medication_status_0
- generate_medication_status_4
- generate_medication_status_5
- generate_medication_status_7
outputs:
moderately_sensitive:
table_csv: output/table_patients_with_prescription_by_status_bnf.csv
Job statistics
Timeline
-
Created:
-
Runtime:
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Nothing to do
- Backend
- TPP
- Workspace
- non-gp-prescribing
- Requested by
- Xi Xiong
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 816afe4
- Requested actions
-
-
table_medication_status_bnf
-
Code comparison
Compare the code used in this job request