Evidence map›Paper›PMID 26198304›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

SMART on FHIR Genomics: facilitating standardized clinico-genomic apps.

Gil Alterovitz, Jeremy Warner, Peijin Zhang, Yishen Chen, Mollie Ullman-Cullere, David Kreda, Isaac S Kohane

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03911687 (Communicating Narrative Concerns Entered by RNs), which is not on this map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
–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.

NCT03911687 nacompletednot on this mapstarted 2020, after this paper: background citation

Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System

TypeinterventionalSponsorColumbia UniversityRan2020 to 2022Enrolled60,893ConditionsHospital Acquired ConditionArmsCONCERN CDS system notification
3 · Its place in the literature

Who cites it

62 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Introducing HL7 FHIR Genomics Operations: a developer-friendly approach to genomics-EHR integration.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  9. Article
  10. Article
  11. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  12. Research data warehouse best practices: catalyzing national data sharing through informatics innovation.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

7 authors.

Gil AlterovitzChildren's Hospital Informatics Program, Boston, MA Center for Biomedical Informatics, Harvard Medical School, Boston, MA Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA ga@alum.mit.edu.
Jeremy WarnerDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN Department of Medicine, Division of Hematology/Oncology, Vanderbilt University, Nashville, TN.
Peijin ZhangDepartment of Computer Science, Carnegie Mellon University, Pittsburgh, PA.
Yishen ChenDepartment of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL.
Mollie Ullman-CullereDana-Farber Cancer Institute, Boston, MA.
David KredaCenter for Biomedical Informatics, Harvard Medical School, Boston, MA.
Isaac S KohaneChildren's Hospital Informatics Program, Boston, MA Center for Biomedical Informatics, Harvard Medical School, Boston, MA Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSupporting clinical decision support for personalized medicine will require linking genome and phenome variants to a patient's electronic health record (EHR), at times on a vast scale. Clinico-genomic data standards will be needed to unify how genomic variant data are accessed from different sequencing systems.

methodsA specification for the basis of a clinic-genomic standard, building upon the current Health Level Seven International Fast Healthcare Interoperability Resources (FHIR®) standard, was developed. An FHIR application protocol interface (API) layer was attached to proprietary sequencing platforms and EHRs in order to expose gene variant data for presentation to the end-user. Three representative apps based on the SMART platform were built to test end-to-end feasibility, including integration of genomic and clinical data.

resultsSuccessful design, deployment, and use of the API was demonstrated and adopted by HL7 Clinical Genomics Workgroup. Feasibility was shown through development of three apps by various types of users with background levels and locations.

conclusionThis prototyping work suggests that an entirely data (and web) standards-based approach could prove both effective and efficient for advancing personalized medicine.

Indexed as

Electronic Health RecordsSoftwareDatabases, GeneticGenomicsHealth Level SevenHumansInformation DisseminationInternetclinicogenomicsdata sharingdata warehouseEHREMRFHIRgenomicsHL7i2b2SMARTstandards

Identifiers

PMID26198304
PMCPMC11737838

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.