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Area of Science:

  • Medical Informatics
  • Translational Research
  • Data Science

Background:

  • Data integration and clinical data warehouses are crucial for translational research.
  • The OMOP Common Data Model (CDM) is widely adopted for data integration due to its query portability and FAIR principles alignment.
  • The OMOP CDM currently lacks user-friendly interfaces for untrained researchers to perform feasibility analyses.

Purpose of the Study:

  • To develop an algorithm for translating i2b2 queries into OMOP CDM compatible queries.
  • To enable untrained users to run feasibility analyses on OMOP CDM databases.
  • To bridge the gap between i2b2 query creation and OMOP CDM execution.

Main Methods:

  • An algorithm was developed to translate i2b2 queries.
  • The algorithm converts i2b2 webclient queries into SQL statements.
  • These SQL statements are executable on a standard OMOP CDM database.

Main Results:

  • A functional algorithm for i2b2 to OMOP CDM query translation was successfully created.
  • The algorithm enables programmatic execution of converted queries on OMOP CDM.
  • This facilitates data feasibility analysis for researchers.

Conclusions:

  • The developed algorithm effectively translates i2b2 queries to OMOP CDM SQL.
  • This enhances data accessibility and usability for researchers in translational studies.
  • It supports the broader adoption and utility of the OMOP CDM.