FHIR Bulk Data API

FHIR is normally used to enable access to data one patient or resource at a time, but new Bulk Data APIs (which use the $export operator) are making population level data transfer and analytics possible. There are two main use cases 1upHealth supports.

  1. Export any or all of your FHIR data
  2. Run population health analytics on top of this population

You can immediately have access to these features once you've signed up with the 1upHealth APIs. You don't need to setup any distributed file stores, analytic query engines, or indexes. You get that all out of the box on 1up.

We are experts

Our team is literally setting the standards here. We are balloting the 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.

Legislation & Policy

CMS is planning to transform its data pipeline to use FHIR and the 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.


Although FHIR bulk data transfer standard will help communicate pop health data between orgs, 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. That means, any app can run deep queries that support JOINs, GROUP BYs, and other aggregations that are not possible on FHIR directly.


1upHealth bulk data APIs are in beta and being tested some customers

Contact us for early access at eng@1up.health


Here's how you can get a list of all the bulk data files for your client application to download.

    curl -XGET https://api.1up.health/fhir/${apiVersion}/$export


You can get connection via a JDBC Driver. This means that you can interact with the data using any visualization tool or open source JDBC client.


Use cases

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.

  • Population health analytics for managing risk or risk adjustments
  • Reporting on quality and costs
  • Multi EHR or data ware house integrations
  • Automating reporting for audits or other partners
  • Anonymized research data sets for public health
  • Public health surveillance
  • Network referrals and leakage analysis
  • Calculating HEDIS measures
  • Extracting features for machine learning models and, one day, decisions made by artificial intelligent doctor agents