Abstract: Use of a Common Data Model to Facilitate Rapid Analytics Supporting Health Outcomes Research

 

Abstract: Use of a Common Data Model to Facilitate Rapid Analytics Supporting Health Outcomes Research

Research using observational data is complex and costly due to massive size and disparate format. Consequently, scientists frequently use one data source when conducting a study, which can result in inaccurate reflection of the target population or insufficient sample sizes. Use of a Common Data Model (CDM) standardizes format across disparate observational databases, facilitating consistent and efficient application of research methods. The objective of this study was to rapidly and efficiently estimate how well disparate sources reflect “known” population characteristics, utilizing standardized patient selection, analyses and visualization software on data that has been transformed into aCDM.