Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 May 18:2017:369-378.
eCollection 2018.

i2b2 implemented over SMART-on-FHIR

Affiliations

i2b2 implemented over SMART-on-FHIR

Nicolas Paris et al. AMIA Jt Summits Transl Sci Proc. .

Abstract

Integrating Biology and the Bedside (i2b2) is the de-facto open-source medical tool for cohort discovery. Fast Healthcare Interoperability Resources (FHIR) is a new standard for exchanging health care information electronically. Substitutable Modular third-party Applications (SMART) defines the SMART-on-FHIR specification on how applications shall interface with Electronic Health Records (EHR) through FHIR. Related work made it possible to produce FHIR from an i2b2 instance or made i2b2 able to store FHIR datasets. In this paper, we extend i2b2 to search remotely into one or multiple SMART-on-FHIR Application Programming Interfaces (APIs). This enables the federation of queries, security, terminology mapping, and also bridges the gap between i2b2 and modern big-data technologies.

PubMed Disclaimer

Figures

Figure 1:
Figure 1:
Overall Diagram
Figure 2:
Figure 2:
UML Sequence Diagram
Figure 3:
Figure 3:
i2b2-FHIR YAML configuration file sample
Figure 4:
Figure 4:
i2b2-FHIR online demo screen-shot
Figure 5:
Figure 5:
(a) Traditional versus i2b2-FHIR performance comparison (on a 150M postgreSQL table). (b) i2b2-FHIR performance (on a 5B Hive table)
Figure 5:
Figure 5:
(a) Traditional versus i2b2-FHIR performance comparison (on a 150M postgreSQL table). (b) i2b2-FHIR performance (on a 5B Hive table)

References

    1. Omri Gottesman, Helena Kuivaniemi, Gerard Tromp, W, Andrew Faucett, Rongling Li, Teri A. Manolio, Saskia C. Sanderson, Joseph Kannry, Randi Zinberg, Melissa A. Basford, et al. The electronic medical records and genomics (eMERGE) network: past, present, and future. Genetics in Medicine. 2013 Oct;15(10):761–771. - PMC - PubMed
    1. Andrew J., McMurry Shawn, Murphy N., Douglas MacFadden, Griffin Weber, William W. Simons, John Orechia, Jonathan Bickel, Nich Wattanasin, Clint Gilbert, Philip Trevvett, et al. SHRINE: Enabling nationally scalable multi-site disease studies. PLoS ONE. 2013 Mar;8(3):e55811. - PMC - PubMed
    1. Georges De Moor, Mats Sundgren, Dipak Kalra, Andreas Schmidt, Martin Dugas, Brecht Claerhout, Toresin Karakoyun, Christian Ohmann, Pierre-Yves Lastic, Nadir Ammour, et al. Using electronic health records for clinical research: The case of the EHR4CR project. Journal of Biomedical Informatics. 2015 Feb;53:162–173. - PubMed
    1. Delaney Brendan C., Vasa Curcin, Anna Andreasson, Theodoros N. Arvanitis,, Hilde Bastiaens, Derek Corrigan, Ethier Jean-Francois, Olga Kostopoulou, Wolfgang Kuchinke, Mark McGilchrist, et al. Translational medicine and patient safety in Europe: TRANSFoRm-architecture for the learning health system in europe. BioMed Research International. 2015;2015:1–8. - PMC - PubMed
    1. George Hripcsak, Jon D. Duke, Nigam H. Shah, Christian G. Reich, Vojtech Huser, Martijn J, Schuemie Marc A, Suchard Rae, Woong Park, Ian Chi Kei Wong, Peter R. Rijnbeek, et al. Observational health data sciences and informatics (OHDSI): opportunities for observational researchers. Studies in health technology and informatics. 2015;216:574. - PMC - PubMed

LinkOut - more resources