Evidence map›Paper›PMID 40380375›Full record

ArticleStudies in health technology and informatics2025

Semantic Difficulties in FHIR 'Conditions'.

Werner Ceusters, Michael Rabenberg

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Werner CeustersDepartment of Biomedical Informatics, University at Buffalo.
Michael RabenbergDepartment of Biomedical Informatics, University at Buffalo.

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
CTSA UM1 State University of New York at BuffaloUM1TR005296 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Sanjay Sethi · 2025 to 2026
$8.3M
National Library of Medicine Conference 2022T15LM012495 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PETER L. ELKIN · 2017 to 2026
$4.3M
Buffalo Research Innovation in Genomic and Healthcare Technology (BRIGHT) Short-Term Training and EducationR25LM014213 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PETER L. ELKIN, RAM SAMUDRALA · 2022 to 2026
$668k
NCATS NIH HHS UL1 TR001412NCATS NIH HHS UM1 TR005296NLM NIH HHS R25 LM014213NLM NIH HHS T15 LM012495
6 · The paper itself

Abstract

One goal of the Fast Healthcare Interoperability Resources (FHIR) standard is to prevent semantic ambiguities when patient data are electronically exchanged. To assess whether the FHIR specifications live up to this expectation, we examined FHIR's Condition resource thereby focusing on the resource elements 'clinical status' and 'verification status' when used in combination. We found that the definitions for these elements, as well as of several of their allowed values, suffer from the following semantic difficulties: the use of disjunctive descriptions, the presence of pseudo-synonyms lacking clear explanation of what distinctions FHIR has in mind, and insufficient discrimination between evidence and what such evidence would be about.

Indexed as

Electronic Health RecordsHealth Information InteroperabilitySemanticsTerminology as TopicHumansCondition-resourceFHIRHL7semantics

Identifiers

PMID40380375
PMCPMC12127926

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.