Data Workgroup

Data Workgroup

The CTSA network has long aspired to function as a federated network of clinical data experience that can be leveraged for data discovery and translational research at scale. The Data Working group seeks to advance this agenda through collaboration on shared data models, data licensing, informative metadata, and informatics maturity criteria.

Data Workgroup Overview

Making data more accessible, usable and shareable through development and dissemination of best practices and standards for data model harmonization and data discovery.

Our Current Projects

Health Open terminology FHIR server

Lead: Harold Solbrig

Data

This HAPI FHIR server will provision the CTSA program programmatic access to a wide variety of open clinical and translational terminologies, as well as support access to under development resources.

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Patient mortality prediction DREAM Challenge

Lead: Timothy Bergquist

Data

This challenge asks participants to predict patient mortality and risk for 30 day readmissions based on EHR data.

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Harmonizing clinical data models and building an adaptor

Lead: Christopher Chute

Data

Supporting multicenter research requires combining data created in different data models; this community coordination project aims to provide an data model adaptor for CTSA hubs.

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LOINC2HPO semantic phenotyping tool

Lead: Peter Robinson

Data

This tool converts FHIR/LOINC encoded laboratory test results as HPO codes; here we extend the conversion to other phenotype sources in the EHR.

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