ArticleJournal of the American Medical Informatics Association : JAMIA2023
FHIR-up! Advancing knowledge from clinical data through application of standardized nursing terminologies within HL7® FHIR®.
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 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed.
- Automated Identification of Nursing Diagnoses and Interventions From Nursing Records Using a Retrieval-Augmented Large Language Model Approach: Quantitative Study.Journal of medical Internet research · 2026Article
- Nursing Informatics and Undergraduate Nursing Curricula: A Scoping Review.Nursing reports (Pavia, Italy) · 2026Review
- Construction and application of the "coordinate multidisciplinary care model" in elderly patients undergoing radical cystectomy based on QCC.Asia-Pacific journal of oncology nursing · 2025Article
- Future advancement of health care through standardized nursing terminologies: reflections from a Friends of the National Library of Medicine workshop honoring Virginia K. Saba.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Standardized nursing terminologies come of age: advancing quality of care, population health, and health equity across the care continuum.Journal of the American Medical Informatics Association : JAMIA · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Health Level 7®'s (HL7) Fast Healthcare Interoperability Resources® (FHIR®) is leading new efforts to make data available to healthcare clinicians, administrators, and leaders. Standardized nursing terminologies were developed to enable nursing's voice and perspective to be visible within the healthcare data ecosystem. The use of these SNTs has been shown to improve care quality and outcomes, and to provide data for knowledge discovery. The role of SNTs in describing assessments and interventions and measuring outcomes is unique in health care, and synergistic with the purpose and goals of FHIR. FHIR acknowledges nursing as a discipline of interest and yet the use of SNTs within the FHIR ecosystem is rare. The purpose of this article is to describe FHIR, SNTs, and the potential for synergy in the use of SNTs with FHIR. Toward improving understanding how FHIR works to transport and store knowledge and how SNTs work to convey meaning, we provide a framework and examples of SNTs and their coding for use within FHIR solutions. Finally, we offer recommendations for the next steps to advance FHIR-SNT collaboration. Such collaboration will advance both nursing specifically and health care in general, and most importantly, improve population health.
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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.