FHIR is normally used to enable access to data one patient or resource at a time, but new FHIR Bulk Data APIs are making population level data transfer and analytics possible. That means, any app can run deep queries that support JOINs, GROUP BYs, and other aggregations that are not possible on FHIR directly.
Identify patients in Boston aged 10 to 13 with required HPV, TDAP, Meningitis vaccines
Identify patients aged 65+ with active diagnosed hypertension
Although FHIR Bulk Data transfer standard will help communicate pop health data between orginazations, it will not enable easy interaction on the data directly. That's why the 1upHealth FHIR API platform supports an ANSI SQL interface into all FHIR data stored. The available tables are:
FHIR Bulk Data Analytics APIs are currently available in the 1up development environment. View the examples below to test in dev. All examples connect to the Athena Query Engine on AWS using JDBC connectivity.
- Java Examples
- Node Examples
Contact us to discuss how this can help your organization
Our team is literally setting the standards here. We are balloting the FHIR Bulk Data specification through the HL7 standards body along with support from the SMART Health IT team. Additionally, we are building THE reference implementation via the $1M LEAP Grant from the US government in our collaboration with Boston Children's Hospital.
CMS is planning to transform its data pipeline to use FHIR and the FHIR Bulk Data specification. Soon millions of patients' medical claims data will be transmitted using the FHIR Bulk Data APIs. What that will ultimately lead to is most payor / provider relationships will lead to the use of these standard methods of data transfer. This standardization will drastically reduce the esoteric knowledge and interfaces currently required to transmit population level electronic health information.
Numerous use cases for bulk electronic health data transfer and analytics can be supported. Many examples solve or improve upon existing needs using a standards based approach and others will unlock the future of healthcare.