CRISP, the Maryland statewide health information exchange, and the American College of Cardiology are using the FHIR standard both in the acquisition of clinical data for registry submission as well as the subsequent use of clinical data to improve care decisions. This partnership is one of four projects receiving funding from the Leading Edge Acceleration Projects in Health Information Technology (LEAP in Health IT) program at the Office of the National Coordinator for Health Information Technology.
The four new LEAP in Health IT awardees together will receive more than $2.7 million to address development and testing of data-sharing functionalities to support clinical care, research and improved outcomes. The 2020 special emphasis notice for LEAP in Health IT solicited applications focused on three areas of interest:
• Advancing registry infrastructure for a modern application programming interface-based health IT ecosystem;
• Cutting edge health IT tools for scaling health research; and
• Integrating healthcare and human services data to support improved outcomes.
The other 2020 awardees are:
• MedStar, with their collaborators from Georgetown University's Innovation Center for Biomedical Informatics (ICBI), the American College of Emergency Physicians (ACEP), HealthLab, and Asymmetrik, aims to better understand the current state of open source, health IT tools. Specifically, the proposed project will demonstrate use of individual bulk FHIR data extraction to support needed research functionality.
• The Children's Hospital Corp., in collaboration with Yale University and Yale-New Haven Health, will develop a FHIR-based platform that leverages bulk data to support an ecosystem for research and learning. Tools to be developed and tested will allow users to annotate FHIR-bulk data for analytics, de-identify data, and query cohorts.
• The Missouri Department of Mental Health (DMH), Division of Developmental Disabilities (DD), in partnership with their stakeholders, will help DMH/DD advance their value-based payment model with foundational technical infrastructure that will integrate structured components to support person-centered planning, reporting, population health, and data sharing across health care and home- and community-based services providers for individuals with intellectual and developmental disabilities, while testing and adopting the electronic long-term services and support standard.
