First create a REDCap project and get an API token with import access.
To generate a batch of 2 PRODUCTION records from each of 3 sites:
$ REDCAP_API_TOKEN=XYZ... python3 ref_code_gen.py 2 3 production
2019-12-06 17:31:59 (INFO) sending: [('token', '...'), ('content', 'record'), ('data', '[{"record_id": '), ('format', 'json')]
2019-12-06 17:31:59 (INFO) result: {'count': 6}
To generate a batch of 2 TEST records from each of 3 sites:
$ REDCAP_API_TOKEN=XYZ... python3 ref_code_gen.py 2 3 test
2019-12-06 17:31:59 (INFO) sending: [('token', '...'), ('content', 'record'), ('data', '[{"record_id": '), ('format', 'json')]
2019-12-06 17:31:59 (INFO) result: {'count': 6}
sds_flat.py converts status info from JSON as provided by SDI to CSV
for convenient import into REDCap.
See ds_status_sync.py.
This design is somewhat based on experience with "golden tickets" from
the PCORNet Adaptable trial, though the use of referral codes in
research studies is hardly novel. See also trial_invite_code in the
PCORNet CDM.
Funding is provided by the NIH as part of the Include project, launched in June 2018.
Ref:
- Using PCORnet to Expand the DS-CONNECT Cohort Through Healthcare System Recruitment, Incorporating Electronic Health Records, and Assessing Self-Determination
We use doctest, flake8 and mypy as detailed in Makefile.