A learning healthcare system requires the ability to aggregate and analyze data at a population level, to better manage population health, deliver value-based care, and conduct discovery science. Access to data is a fundamental requirement for improving the health of individuals and populations. APIs for working with population level data, often referred to as bulk data, are needed to support this system.
Today, health systems perform bulk data export through proprietary pipelines, requiring teams of IT professionals to perform manual mapping to and from delimited text formats like comma separated values (CSV), for very single reporting and analytics pipeline, of which there are many. These manual processes are extremely expensive and time consuming, and are not sustainable.
The existing FHIR and SMART APIs work well for accessing small amounts of data, but large exports perform poorly, since it would require hundreds of thousands of individual API requests.
On behalf of the Office of the National Coordinator for Health Information Technology (ONC) , The Boston Children’s Hospital Computational Health Informatics Program and SMART hosted a meeting in December 2017 to discuss standardizing bulk data exports from EHR systems and data warehouse environments. These discussions resulted in a community effort to define a FHIR Bulk Data API specification, which was balloted through HL7 in early 2019.
The initial specification focused on a specific set of initial use cases, and is currently used by CMS to provision data, including in its 2019 Data to Point of Care program.