Evidence map›Paper›PMID 28875054›Full record

ArticleHealthcare informatics research2017

Current Status of Electronic Medical Record Systems in Hospitals and Clinics in Korea.

Young-Taek Park, Dongwoon Han

Abstract read
In one paragraph

Article in Healthcare informatics research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
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  7. Designing a reference architecture for health information systems.BMC medical informatics and decision making · 2021
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  14. Research trends in Korean medicine based on temporal and network analysis.BMC complementary and alternative medicine · 2019
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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

2 authors.

Young-Taek ParkHealth Insurance Review & Assessment Research Institute, Health Insurance Review & Assessment Service, Wonju, Korea.
Dongwoon HanDepartment of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMany healthcare organizations and professionals have had interests in healthcare information and communication technology (ICT). The objective of this study was to investigate the current status of overall healthcare ICT, especially focusing on Electronic Medical Record (EMR) systems in Korea.

methodsThis study used a part of the nationwide survey collected for the OECD benchmarking ICT study. The Health Insurance Review and Assessment Service conducted the survey from November 19, 2013 to January 10, 2014. This study followed the methodological guidelines of the OECD. A total of 2,093 hospitals and clinics, including long-term care hospitals, participated in the survey. Among them, 554 hospitals and 906 clinics were included in this study for the generalization of the results.

resultsThe adoption rates of EMR systems were 96.3% in hospitals and 95.7% in clinics. Most of the hospitals and clinics had high rates of healthcare information exchange (HIE) within the organization; however, there were extremely low HIE rates among external organizations. Most of the hospitals and clinics had EMR systems with clinical-decision-supporting functionalities. Ninety-six percent of the EMR systems of the hospitals and 89.2% of the clinic systems had checking functions, such as alerts or reminders, on contraindications of drug-drug and drug-age interaction.

conclusionsKorea has maintained a high healthcare ICT status compared to countries in the European Union. The EMR systems of hospitals and clinics in Korea had sophisticated functionalities; however, their HIE status was extremely low, which indicates the need for healthcare ICT standardization.

Indexed as

Electronic Health RecordsElectronic Medical RecordsHealth Information TechnologyMedical Informatics

Identifiers

PMID28875054
PMCPMC5572523

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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.