Evidence map›Paper›PMID 34569596›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Interoperable genetic lab test reports: mapping key data elements to HL7 FHIR specifications and professional reporting guidelines.

Aly Khalifa, Clinton C Mason, Jennifer Hornung Garvin, Marc S Williams, Guilherme Del Fiol, Brian R Jackson, Steven B Bleyl, Gil Alterovitz, Stanley M Huff

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

9 authors.

Aly KhalifaDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Clinton C MasonDepartment of Pediatrics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Jennifer Hornung GarvinDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-8986-7211
Marc S WilliamsGenomic Medicine Institute, Geisinger, Danville, Pennsylvania, USA.
Guilherme Del FiolDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Brian R JacksonDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Steven B BleylDepartment of Pediatrics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Gil AlterovitzDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Stanley M HuffDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn many cases, genetic testing labs provide their test reports as portable document format files or scanned images, which limits the availability of the contained information to advanced informatics solutions, such as automated clinical decision support systems. One of the promising standards that aims to address this limitation is Health Level Seven International (HL7) Fast Healthcare Interoperability Resources Clinical Genomics Implementation Guide-Release 1 (FHIR CG IG STU1). This study aims to identify various data content of some genetic lab test reports and map them to FHIR CG IG specification to assess its coverage and to provide some suggestions for standard development and implementation. MATERIALS AND

methodsWe analyzed sample reports of 4 genetic tests and relevant professional reporting guidelines to identify their key data elements (KDEs) that were then mapped to FHIR CG IG.

resultsWe identified 36 common KDEs among the analyzed genetic test reports, in addition to other unique KDEs for each genetic test. Relevant suggestions were made to guide the standard implementation and development. DISCUSSION AND

conclusionThe FHIR CG IG covers the majority of the identified KDEs. However, we suggested some FHIR extensions that might better represent some KDEs. These extensions may be relevant to FHIR implementations or future FHIR updates.The FHIR CG IG is an excellent step toward the interoperability of genetic lab test reports. However, it is a work-in-progress that needs informative and continuous input from the clinical genetics' community, specifically professional organizations, systems implementers, and genetic knowledgebase providers.

Indexed as

Decision Support Systems, ClinicalHealth Level SevenElectronic Health RecordsGenetic TestingGenomicsHumansbiomedical informaticsFHIRgenetic resultsgenetic test reportinginteroperability

Identifiers

PMID34569596
PMCPMC8633597

What OpenQuestion holds

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Registered trials

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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.