Evidence map›Paper›PMID 41680999›Full record

ArticleHealthcare informatics research2026

Educational Needs and Level of Knowledge in Standard Healthcare Terminology Use in Korea: A Cross-Sectional Survey.

Ahjung Byun, Hyeoun-Ae Park, Jiyeon Yu, Sumi Sung

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ahjung ByunCollege of Nursing, Seoul National University, Seoul, Korea.
Hyeoun-Ae ParkCollege of Nursing, Seoul National University, Seoul, Korea.
Jiyeon YuCollege of Nursing, Seoul National University, Seoul, Korea.
Sumi SungCollege of Nursing, Research Institute of Nursing Science, Chungbuk National University, Cheongju, Korea.

Funding

Korea Health Information Service
6 · The paper itself

Abstract

objectivesThis study aimed to investigate the experience, knowledge, and educational needs regarding standard healthcare terminologies-specifically Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), Logical Observation Identifiers Names and Codes (LOINC), and the International Classification of Diseases/Korean Classification of Diseases (ICD/KCD)-among professionals in the clinical, industrial, and academic sectors in Korea.

methodsA descriptive survey was conducted using an online questionnaire distributed between November 21 and December 5, 2023. The questionnaire included items on participants' experiences with, self-reported knowledge of, and educational needs for standard terminologies. A total of 325 responses were analyzed.

resultsParticipants reported the highest levels of experience and knowledge with ICD/KCD, whereas knowledge of SNOMED CT and LOINC was relatively low. Statistically significant differences in knowledge were observed across professional groups (p < 0.05), with terminology experts reporting higher levels than others. Educational needs were greatest for ICD/KCD and SNOMED CT, particularly in data collection and use case application. The most frequently cited barriers to adopting standard terminologies were a lack of training programs, the cost and time required for training, and the structural complexity of the terminologies.

conclusionsThese findings underscore the importance of customized and systematic educational strategies to promote the use of standard terminologies. Policy-level support, standardized training materials, and the preparation of qualified trainers are essential to enhance semantic interoperability and data utilization in Korean healthcare.

Indexed as

EducationKnowledgeLogical Observation Identifiers Names and CodesSystematized Nomenclature of MedicineTerminology

Identifiers

PMID41680999
PMCPMC12902123

What OpenQuestion 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 OpenQuestion graph.