Evidence map›Paper›PMID 41799366›Full record

ArticleJAMIA open2026

Assessment of the adequacy of the Fast Healthcare Interoperability Resources (FHIR) Genomics standard for the representation of somatic testing reports.

Robert H Dolin, Bret S E Heale, James Patterson, Kevin M Power, May Terry, Howard Anton, James Chen, Kashmira Sawant, Srikar Chamala

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Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Robert H DolinElimu Informatics, El Cerrito, CA 94530-2009, United States.
Bret S E HealeHumanized Health Consulting, Salt Lake City, UT, United States.
James PattersonMITRE Corp., McLean, VA, United States.
Kevin M PowerChildren's Mercy, Kansas City, MO, United States.
May TerryMITRE Corp., McLean, VA, United States.
Howard AntonTempus AI, Chicago, IL, United States.
James ChenTempus AI, Chicago, IL, United States.
Kashmira SawantTempus AI, Chicago, IL, United States.
Srikar ChamalaDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States.ORCID https://orcid.org/0000-0001-6367-7615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Enabling the unambiguous communication of cancer genetic testing results and the corresponding therapeutic implications of identified genetic variants is of major clinical importance. In this report, we assess the adequacy of the Health Level Seven Fast Healthcare Interoperability Resources (FHIR) Genomics Reporting Implementation Guide, version 3 (also known as "FHIR Genomics") for the structured communication of semantic objects typically appearing in real-world somatic testing reports. Materials and Methods: The GenomeX project team, part of the CodeX FHIR Accelerator, performed the following assessment: (1) gather a convenience sample of public somatic reports; (2) create a representative somatic report that includes a wide range of observations taken from the sample reports; and (3) structure the representative somatic report using the FHIR Genomics standard. Results: Attempted encodings were categorized into 1 of the 4 buckets: (1) full encoding possible (eg, DNA variants); (2) full encoding with potential variability (eg, therapeutic implications); (3) partial encoding (eg, genomic study details); and (4) not encoded (ie, FHIR Genomics has no explicit or acceptable semantic target, such as for coarsely granular pertinent negatives). In our sample somatic report, 47 semantic objects were noted, of which 87% had either full encoding or full encoding with potential variability. Conclusion: While dynamic real-world requirements, as exemplified by cancer genomics, often arise more rapidly than can be standardized, we conclude that the FHIR Genomics version 3 standard is sufficiently robust for the communication of current actionable somatic testing results.

Indexed as

cancerEHRFHIRgenomics

Identifiers

PMID41799366
PMCPMC12963594

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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.