Job request: 12823
- Organisation:
- DataLab
- Workspace:
- unknown-codes-investigation
- ID:
- wrhz2k5nyvtf2fmx
This page shows the technical details of what happened when authorised researcher Milan Wiedemann requested one or more actions to be run against real patient data in the 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 marked as
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.
Jobs
-
- Job identifier:
-
iemn3bjdoiv5gc2k
Pipeline
Show project.yaml
version: "3.0"
expectations:
population_size: 1
actions:
# query_APCS_Der_Diagnosis_All:
# run: >
# sqlrunner:latest
# queries/APCS.Der_Diagnosis_All.sql
# --output output/APCS.Der_Diagnosis_All.csv
# outputs:
# highly_sensitive:
# output: output/APCS.Der_Diagnosis_All.csv
query_APCS_Der__Spell_Primary_Diagnosis:
run: >
sqlrunner:latest
queries/APCS_Der.Spell_Primary_Diagnosis.sql
--output output/gAPCS_Der.Spell_Primary_Diagnosis.csv
outputs:
highly_sensitive:
output: output/gAPCS_Der.Spell_Primary_Diagnosis.csv
query_CodedEvent__CTV3Code:
run: >
sqlrunner:latest
queries/CodedEvent.CTV3Code.sql
--output output/gCodedEvent.CTV3Code.csv
outputs:
highly_sensitive:
output: output/gCodedEvent.CTV3Code.csv
query_CodedEvent_SNOMED__ConceptID:
run: >
sqlrunner:latest
queries/CodedEvent_SNOMED.ConceptID.sql
--output output/gCodedEvent_SNOMED.ConceptID.csv
outputs:
highly_sensitive:
output: output/gCodedEvent_SNOMED.ConceptID.csv
# query_EC_Diagnosis_EC_Diagnosis_XX:
# run: >
# sqlrunner:latest
# queries/EC_Diagnosis.EC_Diagnosis_XX.sql
# --output output/EC_Diagnosis.EC_Diagnosis_XX.csv
# outputs:
# highly_sensitive:
# output: output/EC_Diagnosis.EC_Diagnosis_XX.csv
# query_EC_Diagnosis_Discharge_Destination_SNOMED_CT:
# run: >
# sqlrunner:latest
# queries/EC_Diagnosis.Discharge_Destination_SNOMED_CT.sql
# --output output/EC_Diagnosis.Discharge_Destination_SNOMED_CT.csv
# outputs:
# highly_sensitive:
# output: output/EC_Diagnosis.Discharge_Destination_SNOMED_CT.csv
# query_MedicationDictionary_DMD_ID:
# run: >
# sqlrunner:latest
# queries/MedicationDictionary.DMD_ID.sql
# --output output/MedicationDictionary.DMD_ID.csv
# outputs:
# highly_sensitive:
# output: output/MedicationDictionary.DMD_ID.csv
# query_ONS_Deaths_icd10XX:
# run: >
# sqlrunner:latest
# queries/ONS_Deaths.icd10XX.sql
# --output output/ONS_Deaths.icd10XX.csv
# outputs:
# highly_sensitive:
# output: output/ONS_Deaths.icd10XX.csv
# This action (1) joins all different datasets
# (2) removes rows with count less than 10
# (3) rounds numbers to the nearest 10
tidy_data:
run: r:latest analysis/tidy_data.R
needs:
- query_APCS_Der__Spell_Primary_Diagnosis
- query_CodedEvent__CTV3Code
- query_CodedEvent_SNOMED__ConceptID
# - query_APCS_Der_Diagnosis_All
# - query_EC_Diagnosis_EC_Diagnosis_XX
# - query_EC_Diagnosis_Discharge_Destination_SNOMED_CT
# - query_MedicationDictionary_DMD_ID
# - query_ONS_Deaths_icd10XX
outputs:
moderately_sensitive:
output: output/output.csv
generate_report:
run: r:latest -e 'rmarkdown::render("analysis/report.Rmd", knit_root_dir = "/workspace", output_dir = "output/")'
needs:
- tidy_data
outputs:
moderately_sensitive:
output: output/report.html
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:01:33
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- unknown-codes-investigation
- Requested by
- Milan Wiedemann
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- ca41b70
- Requested actions
-
-
generate_report
-