Evidence map›Paper›PMID 35627866›Full record

ArticleInternational journal of environmental research and public health2022

Digital Health Profile of South Korea: A Cross Sectional Study.

Kyehwa Lee, Libga Seo, Dukyong Yoon, Kwangmo Yang, Jae-Eun Yi, Yoomi Kim, Jae-Ho Lee

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Kyehwa LeeDepartment of Information Medicine, Asan Medical Center, Seoul 05505, Korea.ORCID 0000-0002-7593-7020
Libga SeoDepartment of Information Medicine, Asan Medical Center, Seoul 05505, Korea.
Dukyong YoonDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin-si 16995, Korea.ORCID 0000-0003-1635-8376
Kwangmo YangCenter for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.ORCID 0000-0002-7176-4935
Jae-Eun YiKorea Health Information Service, Seoul 04515, Korea.
Yoomi KimKorea Health Information Service, Seoul 04515, Korea.
Jae-Ho LeeDepartment of Emergency Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea.ORCID 0000-0003-2619-1231

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Backgroud: For future national digital healthcare policy development, it is vital to collect baseline data on the infrastructure and services of medical institutions' information and communication technology (ICT). To assess the state of medical ICT across the nation, we devised and administered a comprehensive digital healthcare survey to medical institutions across the nation. (2) Methods: From 16 November through 11 December 2020, this study targeted 42 tertiary hospitals, 311 general hospitals, and 1431 hospital locations countrywide. (3) Results: Since 2015, most hospitals have implemented electronic medical record (EMR) systems (90.5 percent of hospitals, which is the smallest unit, and 100 percent of tertiary hospitals). The rate of implementation of personal health records (PHRs) varied significantly between 61.9 percent and 2.4 percent, depending on the size of the hospital. Hospitals have implemented around three to seven government-sponsored information/data transmission and receiving systems for statistical or investigative objectives. For secondary usage of medical data, more than half of tertiary hospitals have implemented a clinical data warehouse or shared data model. However, new service establishments utilizing modern medical technologies such as artificial intelligence or lifelogging were scarce and in the planning stages. (4) Conclusion: This study shows that the level of digitalization in Korean medical institutions is significant, despite the fact that the development and spending in ICT infrastructure and services provided by individual institutions imposes a significant cost. This illustrates that, in the face of a pandemic, strong government backing and policymaking are essential to activate ICT-based medical services and efficiently use medical data.

Indexed as

Artificial IntelligenceElectronic Health RecordsCross-Sectional StudiesHospitals, GeneralRepublic of Koreaclinical data warehouseelectronic medical recordshealth information systeminformation and communication technologypersonal health records

Identifiers

PMID35627866
PMCPMC9140860

What OpenQuestion holds

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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.