Evidence map›Paper›PMID 27274012›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

SMART-on-FHIR implemented over i2b2.

Kavishwar B Wagholikar, Joshua C Mandel, Jeffery G Klann, Nich Wattanasin, Michael Mendis, Christopher G Chute, Kenneth D Mandl, Shawn N Murphy

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Clinical Data Warehousing: A Scoping Review.Journal of the Society for Clinical Data Management · 2024
    Article
  7. Review
  8. Article
  9. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  10. Review
  11. Article
  12. REDCap on FHIR: Clinical Data Interoperability Services.Journal of biomedical informatics · 2021
    Article
  13. Review
  14. Article
  15. Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Extending i2b2 into a framework for semantic abstraction of EHR to facilitate rapid development and portability of Health IT applications.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kavishwar B WagholikarDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Joshua C MandelDepartment of Biomedical Informatics, Harvard Medical School, Cambridge, Massachusetts, USA.
Jeffery G KlannDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Nich WattanasinResearch Information Services and Computing, Partners HealthCare, Boston, Massachusetts, USA.
Michael MendisResearch Information Services and Computing, Partners HealthCare, Boston, Massachusetts, USA.
Christopher G ChuteJohns Hopkins University, Baltimore, Maryland, USA.
Kenneth D MandlDepartment of Biomedical Informatics, Harvard Medical School, Cambridge, Massachusetts, USA.
Shawn N MurphyDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Instrumenting i2b2 for Improved Medication Research: Adding the Patient VoiceR01GM104303 · NIGMS · BOSTON CHILDREN'S HOSPITAL · PI MANDL, KENNETH D. · 2013 to 2016
$1.6M
A Framework to Enhance Decision Support by Invoking NLP: Methods and ApplicationsR00LM011575 · NLM · MASSACHUSETTS GENERAL HOSPITAL · PI WAGHOLIKAR, KAVISHWAR B. · 2016 to 2018
$749k
NCATS NIH HHS UL1 TR001079NIGMS NIH HHS R01 GM104303NLM NIH HHS R00 LM011575
6 · The paper itself

Abstract

We have developed an interface to serve patient data from Informatics for Integrating Biology and the Bedside (i2b2) repositories in the Fast Healthcare Interoperability Resources (FHIR) format, referred to as a SMART-on-FHIR cell. The cell serves FHIR resources on a per-patient basis, and supports the "substitutable" modular third-party applications (SMART) OAuth2 specification for authorization of client applications. It is implemented as an i2b2 server plug-in, consisting of 6 modules: authentication, REST, i2b2-to-FHIR converter, resource enrichment, query engine, and cache. The source code is freely available as open source. We tested the cell by accessing resources from a test i2b2 installation, demonstrating that a SMART app can be launched from the cell that accesses patient data stored in i2b2. We successfully retrieved demographics, medications, labs, and diagnoses for test patients. The SMART-on-FHIR cell will enable i2b2 sites to provide simplified but secure data access in FHIR format, and will spur innovation and interoperability. Further, it transforms i2b2 into an apps platform.

Indexed as

Data WarehousingHealth Information InteroperabilityUser-Computer InterfaceBiomedical ResearchElectronic Health RecordsHealth Information ExchangeHealth Level SevenHumansSoftwareclinical decision supportDatabase management systemsinformation storage and retrievalmedical informaticssystems integrationuser-computer interface

Identifiers

PMID27274012
PMCPMC5391721

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.