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Building the observational medical outcomes partnership's T-MSIS Analytic File common data model
1National Library of Medicine, Lister Hill National Center for Biomedical Communications, Bethesda, MD United States of America.
Objectives:
This effort used Databricks to create an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) for Transformed MSIS Analytic File (TAF) Medicaid records.
Materials And Methods:
Our process included data volume and content assessment of TAF, translation mapping of TAF concepts to OMOP concepts and the creation of Extract Transform and Load (ETL) code.
Results:
The final CDM contained 119,048,562 individuals and 24,806,828,121 clinical observations from 2014 through 2018.
Discussion:
The transformation of TAF into OMOP can support the generation of evidence with special attention to low-income patients on public insurance. Such patients are perhaps underrepresented in academic medical center patient populations.
Conclusion:
Our effort successfully used Databricks to transform TAF records into OMOP CDM. Our CDM can be used to generate evidence for OMOP network studies.
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Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Documentation in Long-Term and Home Healthcare Setting
Long-Term Care Facilities
Data Reporting and Recording
Statistical Software for Data Analysis and Clinical Trials

