March 22, 2019: Envisioning Data Liquidity – The Pew Data Interoperability Project (James E. Tcheng, MD)


James E. Tcheng, MD
Professor of Medicine
Professor of Community and Family Medicine (Informatics)
Duke University Health System


Envisioning Data Liquidity – The Pew Data Interoperability Project


Data; Data Registries; Healthcare; Clinical Research; Electronic Health Records; Interoperability Project; Common Data Elements

Key Points

  • The Pew Data Interoperability Project is a collaboration between the Duke Clinical Research Institute and the Pew Charitable Trusts to advance interoperability among electronic health records (EHR) and registries.
  • Registries help solve the data capture problem by standardizing data elements and processes.
  • The Pew Data Interoperability Project creates a guide for implementing common data elements with less effort than other methods.
  • Clinical concepts, database specifications, and integration into workflow are the key steps to establishing native data interoperability.

Discussion Themes

In the process of data curation, it is important to focus on things that have the greatest predictive value. Focusing on a concept that is too broad is not sustainable. 

Differential semantics did not come into play in The Pew Data Interoperability Project because of the framework provided by the data registries.

Specification regarding how to capture data at the database level will prove helpful with the incorporation into applications such as echocardiograms.

Cohesion of data registries and an operationalized approach to data curation will aid in speeding up the process of advancing interoperability among EHR and registries.


#Healthcare, #Data, #Clinical, #DataLiquidity, #pctGR, @pewresearch, @DCRINews