Evidence map›Paper›PMID 36548217›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2023

Introducing HL7 FHIR Genomics Operations: a developer-friendly approach to genomics-EHR integration.

Robert H Dolin, Bret S E Heale, Gil Alterovitz, Rohan Gupta, Justin Aronson, Aziz Boxwala, Shaileshbhai R Gothi, David Haines, Arthur Hermann, Tonya Hongsermeier and 10 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

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

15 citing papers in PubMed.

  1. Review
  2. Advances in laboratory medicine · 2025
    Article
  3. Review
  4. Article
  5. Recommendations for Standardizing Nuclear Medicine Terminology and Data in the Era of Theranostics and Artificial Intelligence.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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

20 authors.

Robert H DolinElimu Informatics, El Cerrito, California, USA.
Bret S E HealeHumanized Health Consulting, Salt Lake City, Utah, USA.
Gil AlterovitzBrigham and Women's Hospital, Boston, Massachusetts, USA.
Rohan GuptaShri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India.
Justin AronsonNorthwestern University, Chicago, Illinois, USA.
Aziz BoxwalaElimu Informatics, El Cerrito, California, USA.
Shaileshbhai R GothiDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA.
David HainesLeap of Faith Technologies, Libertyville, Illinois, USA.
Arthur HermannDepartment of Health IT Strategy & Policy, Kaiser Permanente, Pasadena, California, USA.
Tonya HongsermeierElimu Informatics, El Cerrito, California, USA.
Ammar HusamiDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
James JonesComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Frank Naeymi-RadLeap of Faith Technologies, Libertyville, Illinois, USA.
Barbara RapchakLeap of Faith Technologies, Libertyville, Illinois, USA.
Chandan RavishankarLeap of Faith Technologies, Libertyville, Illinois, USA.
James ShalabyElimu Informatics, El Cerrito, California, USA.
May TerryMITRE Corporation, McLean, Virginia, USA.
Ning XieBiomedical Cybernetics Laboratory, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Powell ZhangMassachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Srikar ChamalaKeck School of Medicine, Department of Pathology, University of Southern California, Los Angeles, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEnabling clinicians to formulate individualized clinical management strategies from the sea of molecular data remains a fundamentally important but daunting task. Here, we describe efforts towards a new paradigm in genomics-electronic health record (HER) integration, using a standardized suite of FHIR Genomics Operations that encapsulates the complexity of molecular data so that precision medicine solution developers can focus on building applications. MATERIALS AND

methodsFHIR Genomics Operations essentially "wrap" a genomics data repository, presenting a uniform interface to applications. More importantly, operations encapsulate the complexity of data within a repository and normalize redundant data representations-particularly relevant in genomics, where a tremendous amount of raw data exists in often-complex non-FHIR formats.

resultsFifteen FHIR Genomics Operations have been developed, designed to support a wide range of clinical scenarios, such as variant discovery; clinical trial matching; hereditary condition and pharmacogenomic screening; and variant reanalysis. Operations are being matured through the HL7 balloting process, connectathons, pilots, and the HL7 FHIR Accelerator program. DISCUSSION: Next-generation sequencing can identify thousands to millions of variants, whose clinical significance can change over time as our knowledge evolves. To manage such a large volume of dynamic and complex data, new models of genomics-EHR integration are needed. Qualitative observations to date suggest that freeing application developers from the need to understand the nuances of genomic data, and instead base applications on standardized APIs can not only accelerate integration but also dramatically expand the applications of Omic data in driving precision care at scale for all.

Indexed as

Electronic Health RecordsGenomicsHealth Level SevenTimeapplication programming interfaceclinical decision supportclinical genomicselectronic health recordHL7 FHIR

Identifiers

PMID36548217
PMCPMC9933060

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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.