Evidence map›Paper›PMID 36844821›Full record

ArticleFrontiers in public health2023

Electronic health records in nursing from 2000 to 2020: A bibliometric analysis.

Ze Luan, Zhiru Zhang, Yanan Gao, Shiyuan Du, Nan Wu, Yulu Chen, Xin Peng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Data Privacy in Medical Informatics and Electronic Health Records: A Bibliometric Analysis.Health care analysis : HCA : journal of health philosophy and policy · 2025
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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

7 authors at 2 institutions in 1 country.

Ze LuanSchool of Nursing, Jilin University, Changchun, China.
Zhiru ZhangThe First Hospital of Jilin University, Bethune First Hospital of Jilin University, Changchun, China.
Yanan GaoThe First Hospital of Jilin University, Bethune First Hospital of Jilin University, Changchun, China.
Shiyuan DuSchool of Nursing, Jilin University, Changchun, China.
Nan WuSchool of Nursing, Jilin University, Changchun, China.
Yulu ChenSchool of Nursing, Jilin University, Changchun, China.
Xin PengSchool of Nursing, Jilin University, Changchun, China.
Jilin University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic health records (EHR) is the longitudinal data generated by patients in medical institutions and recorded by electronic medical information systems in the form of digital, which is also the most widespread application of big data in medicine. The purpose of this study was to explore the application of electronic health records in the field of nursing and determine the current research status and hotspots. Methods: A bibliometric analysis of electronic health records in nursing was undertaken from 2000 to 2020. The literature comes from Web of Science Core Collection database. We used CiteSpace (version 5.7 R5; Drexel University), which is a Java-based software that especially visualized collaborative networks and research topics. Results: A total of 2616 publications were included in the study. We found that publications increased year by year. The Conclusion: With the popularization of information systems, the publications of EHR in the nursing field have increased year by year. This study provides the basic structure, potential cooperation, and research trends of EHR in the field of nursing from 2000 to 2020, and provides a reference for nurses to effectively use EHR to help clinical work or scientific researchers explore the potential significances of EHR.

Indexed as

Advance Care PlanningElectronic Health RecordsAccidental FallsBibliometricsDatabases, FactualHumansbibliometric analysisCiteSpacedata visualizationelectronic health recordsnursing

Identifiers

PMID36844821
PMCPMC9947559
OpenAlexW4319752025

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.