This ongoing HL7 Community Engagement project focuses on clinical data model harmonization and terminology services for the CTSA hubs. The three areas of work being conducted within this project are:

1. Common Data Model Harmonization (CDMH) II: Common clinical data model harmonization;
2. Healthcare Open Terminology (HOT) Ecosystem: Value sets and terminology harmonizaiton;
3. HL7 Vulcan Accelerator: Defining/enhancing FHIR resources that connect real world data with regulated submissions;

This community coordination project aims to provide a data model adaptor for CTSA hubs to support multi-center research for the combining of data created from different data models.

The Healthcare Open Terminology (HOT) Ecosystem, Fast Healthcare Interoperability Resources (FHIR) project establishes a unifying framework and scaffolding that allows terminological resources to be integrated, merged, and extended to meet requirements of the translational community.

The Accrual to Clinical Trials (ACT) Ontology supports queries across multiple research institutions in the ACT Network, a nationwide federation of leading academic research institutions that share aggregate patient counts from electronic health record (EHR) data. Its development is funded by the NIH through the National Center for Advancing Translational Sciences (NCATS) and the Clinical and Translational Science Award (CTSA) program. It contains over 125 million patient records. Usability of the ACT ontology will improve the precision, recall, and reproducibility of identifying clinical cohorts in EHR data sets. 

This community project received support in Phase III as an incubator project, with the goal of further developing requirements and plans for implementation at a later date. As part of this process, CD2H assists in connecting the team members to other communities that have already established work or interest in this area. The Biobank project is designed to build on the BioCatalyst application to develop and disseminate an informatics ecosystem that empowers researchers to search, analyze, and share data associated with biospecimens. The goal is to foster collaboration and increase the impact of datasets derived from biospecimens as part of next-generation biobanking.