SCCRIP (Sickle Cell Clinical Research and Intervention Program) established a longitudinal cohort at multiple sites with Sickle Cell Disease (SCD) in 2014 managed by St. Jude Clinical Hematology. A new collaborator for SCCRIP has longitudinal data for 600 SCD patients in OMOP CDM format and this effort is to convert OMOP CDM to SCCRIP format.
DATA QUALITY DASHBOARD applies a harmonized data quality assessment terminology to data that has been standardized in the OMOP Common Data Model. Where ACHILLES runs characterization analyses to provide an overall visual understanding of a CDM instance, the DQD goes table by table and field by field to quantify the number of records in a CDM that do not conform to the given specifications. In all, over 1,500 checks are performed, each one organized into the Kahn framework. For each check, the result is compared to a threshold whereby a FAIL is considered to be any percentage of violating rows falling above that value.
Verify Install
Introductory Tutorials
https://ohdsi.org/ohdsi2022-tutorial/
https://ohdsi.org/open-source-tutorials/
Practice with use cases
Discuss OHDSI tool among team with specific relevance to Integrating SCCRIP Data in OMOP format.
From https://ohdsi.org/software-tools/ below
DATA QUALITY DASHBOARD applies a harmonized data quality assessment terminology to data that has been standardized in the OMOP Common Data Model. Where ACHILLES runs characterization analyses to provide an overall visual understanding of a CDM instance, the DQD goes table by table and field by field to quantify the number of records in a CDM that do not conform to the given specifications. In all, over 1,500 checks are performed, each one organized into the Kahn framework. For each check, the result is compared to a threshold whereby a FAIL is considered to be any percentage of violating rows falling above that value.
DATA QUALITY DASHBOARD LINKS Documentation: Book of OHDSI Demo: Click Here Installation Information: Click Here Source Code: GitHub