Push Button Population Health: The SMART/HL7 FHIR Bulk Data Access Application Programming Interface

Author:

Mandl Kenneth D.ORCID,Gottlieb DanielORCID,Mandel Joshua C.,Ignatov Vladimir,Sayeed RaheelORCID,Grieve Grahame,Jones James,Ellis AlyssaORCID,Culbertson Adam

Abstract

AbstractThe 21st Century Cures Act requires that certified health information technology have an application programming interface (API) giving access to all data elements of a patient’s electronic health record, “without special effort”. In the spring of 2020, the Office of the National Coordinator of Health Information Technology (ONC) published a rule—21st Century Cures Act Interoperability, Information Blocking, and the ONC Health IT Certification Program—regulating the API requirement along with protections against information blocking. The rule specifies the SMART/HL7 FHIR Bulk Data Access API, which enables access to patient-level data across a patient population, supporting myriad use cases across healthcare, research, and public health ecosystems. The API enables “push button population health” in that core data elements can readily and standardly be extracted from electronic health records, enabling local, regional, and national-scale data-driven innovation.

Funder

U.S. Department of Health & Human Services | Office of the National Coordinator for Health Information Technology

U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Computer Science Applications,Medicine (miscellaneous)

Reference22 articles.

1. Office of the National Coordinator of Health Information Technology. 21st Century Cures Act: Interoperability, Information Blocking, and the ONC Health IT Certification Program, https://www.federalregister.gov/documents/2020/05/01/2020-07419/21st-century-cures-act-interoperability-information-blocking-and-the-onc-health-it-certification (2020).

2. Institute of Medicine. The Learning Healthcare System: Workshop Summary (The National Academies Press, 2007).

3. Mohta, N. S. & Mandl, K. D. Informatics Innovations: How to Achieve “Medicine-Based Evidence”, https://catalyst.nejm.org/doi/full/10.1056/CAT.20.0026 (2020).

4. Gallego, B. et al. Bringing cohort studies to the bedside: framework for a ‘green button’ to support clinical decision-making. J. Comp. Eff. Res. 4, 191–197 (2015).

5. Longhurst, C. A., Harrington, R. A. & Shah, N. H. A ‘green button’ for using aggregate patient data at the point of care. Health Aff. (Millwood) 33, 1229–1235 (2014).

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