Evidence map›Paper›PMID 32130157›Full record

ArticleJMIR mHealth and uHealth2020

Frequent Mobile Electronic Medical Records Users Respond More Quickly to Emergency Department Consultation Requests: Retrospective Quantitative Study.

Kwang Yul Jung, SuJin Kim, Kihyung Kim, Eun Ju Lee, Kyunga Kim, Jeanhyoung Lee, Jong Soo Choi, Mira Kang, Dong Kyung Chang, Won Chul Cha

Erratum issuedAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kwang Yul Jung *Department of Emergency Medicine, Inha University School of Medicine, Incheon, Republic of Korea.ORCID 0000-0001-5688-2581
SuJin Kim *Department of Digital Health, Samsung Advanced Institute for Health Science & Technology, Sungkyunkwan University, Seoul, Republic of Korea.ORCID 0000-0002-1189-5896
Kihyung KimDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology, Sungkyunkwan University, Seoul, Republic of Korea.ORCID 0000-0003-2330-5133
Eun Ju LeeKorea Health Industry Development Institute, Cheongju, Republic of Korea.ORCID 0000-0003-2481-2110
Kyunga KimDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology, Sungkyunkwan University, Seoul, Republic of Korea.ORCID 0000-0002-0865-2236
Jeanhyoung LeeHealth Information and Strategy Center, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-1011-5368
Jong Soo ChoiDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology, Sungkyunkwan University, Seoul, Republic of Korea.ORCID 0000-0003-3108-406X
Mira KangDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology, Sungkyunkwan University, Seoul, Republic of Korea.ORCID 0000-0002-7842-0035
Dong Kyung ChangDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology, Sungkyunkwan University, Seoul, Republic of Korea.ORCID 0000-0001-8925-4629
Won Chul ChaDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology, Sungkyunkwan University, Seoul, Republic of Korea.ORCID 0000-0002-2778-2992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpecialty consultation is a critical aspect of emergency department (ED) practice, and a delay in providing consultation might have a significant clinical effect and worsen ED overcrowding. Although mobile electronic medical records (EMR) are being increasingly used and are known to improve the workflow of health care providers, limited studies have evaluated their effectiveness in real-life clinical scenarios.

objectiveFor this study, we aimed to determine the association between response duration to an ED specialty consultation request and the frequency of mobile EMR use.

methodsThis retrospective study was conducted in an academic ED in Seoul, South Korea. We analyzed EMR and mobile EMR data from May 2018 to December 2018. Timestamps of ED consultation requests were retrieved from a PC-based EMR, and the response interval was calculated. Doctors' log frequencies were obtained from the mobile EMR, and we merged data using doctors' deidentification numbers. Pearson's product-moment correlation was performed to identify this association. The primary outcome was the relationship between the frequency of mobile EMR usage and the time interval from ED request to consultation completion by specialty doctors. The secondary outcome was the relationship between the frequency of specialty doctors' mobile EMR usage and the response time to consultation requests.

resultsA total of 25,454 consultations requests were made for 15,555 patients, and 252 specialty doctors provided ED specialty consultations. Of the 742 doctors who used the mobile EMR, 208 doctors used it for the specialty consultation process. After excluding the cases lacking essential information, 21,885 consultations with 208 doctors were included for analysis. According to the mobile EMR usage pattern, the average usage frequency of all users was 13.3 logs/day, and the average duration of the completion of the specialty consultation was 51.7 minutes. There was a significant inverse relationship between the frequency of mobile EMR usage and time interval from ED request to consultation completion by specialty doctors (coefficient=-0.19; 95% CI -0.32 to -0.06; P=.005). Secondary analysis with the response time was done. There was also a significant inverse relationship between the frequency of specialty doctors' mobile EMR usage and the response time to consultation requests (coefficient=-0.18; 95% CI -0.30 to -0.04; P=.009).

conclusionsOur findings suggest that frequent mobile EMR usage is associated with quicker response time to ED consultation requests.

Indexed as

Electronic Health RecordsEmergency Service, HospitalReferral and ConsultationHumansRepublic of KoreaRetrospective StudiesSeoulelectronic medical recordemergency departmentmobile healthtime efficiency

Identifiers

PMID32130157
PMCPMC7055754

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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.