Evidence map›Paper›PMID 42453320›Full record

ArticleJournal of the Medical Library Association : JMLA2026

Perceptions of digital medical information services applying new technologies.

Go Eun Lee, JungSun Seo, Ye Jin Choi, Jee Yeon Lee

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 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.

Go Eun Leeggoni3530@yonsei.ac.kr, Researcher, Research Institute for Academic Library Development, Yonsei University, Seoul, South Korea.
JungSun Seoseoooo0316@yonsei.ac.kr, Doctoral Student, Department of Library and Information Science, Yonsei University, Seoul, South Korea.
Ye Jin Choibrightyejin@daegu.ac.kr, Assistant Professor, Department of Library and Information Science, Daegu University, Gyeongsan, South Korea.
Jee Yeon Leejlee01@yonsei.ac.kr, Professor, Department of Library and Information Science, Yonsei University, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study examines users& behaviors and perceptions when accessing medical information in digital environments and proposes strategic directions for medical libraries seeking to adopt emerging technologies. Specifically, we empirically investigate user expectations regarding digital technologies, differences in perception based on individual characteristics, and key factors influencing satisfaction with information use. Methods: We conducted a web-based survey from January to February 2024 through the National Center for Medical Science Knowledge, a national institution in South Korea. A total of 580 participants-including healthcare professionals, researchers, educators, and students-completed a questionnaire assessing digital information behavior, preferences for emerging technologies, perceptions of information and service quality, and overall satisfaction. We analyzed the data using descriptive statistics, analysis of variance (ANOVA), and multiple regression analysis. Results: Users exhibited a strong tendency to use online-based medical information, reporting particular interest in big data (38.5%) and artificial intelligence (24.9%) technologies. Statistically significant differences in preferences and awareness of digital technologies were observed based on gender, education level, academic major, and occupation. Information reliability (β = .623), service speed, and personalization were identified as key determinants of user satisfaction. Conclusion: Medical libraries should establish technology-based services that are suitable for the digital information environment and develop customized strategies that accurately reflect user characteristics and demands. This study offers practical insights for designing user-centered digital medical information services.

Indexed as

Consumer BehaviorDigital TechnologyLibraries, MedicalAdultDigital HealthDigital MediaFemaleHumansInternetMaleMiddle AgedPerceptionRepublic of KoreaSurveys and QuestionnairesArtificial IntelligenceDigital Health informationEmerging TechnologiesInformation QualityMedical LibrariesUser Satisfaction

Identifiers

PMID42453320
PMCPMC13367307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.