Evidence map›Paper›PMID 32390365›Full record

ArticleYonsei medical journal2020

An Automated Fast Healthcare Interoperability Resources-Based 12-Lead Electrocardiogram Mobile Alert System for Suspected Acute Coronary Syndrome.

Sujeong Hur, Jeanhyoung Lee, Taerim Kim, Jong Soo Choi, Mira Kang, Dong Kyung Chang, Won Chul Cha

Abstract read
In one paragraph

Article in Yonsei medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Sujeong Hur *Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0003-1335-576X
Jeanhyoung Lee *Health Information and Strategy Center, Samsung Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-1011-5368
Taerim KimDepartment of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8149-1205
Jong Soo ChoiDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0003-3108-406X
Mira KangDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0002-7842-0035
Dong Kyung ChangDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0001-8925-4629
Won Chul ChaDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0002-2778-2992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFor patients with time-critical acute coronary syndrome, reporting electrocardiogram (ECG) findings is the most important component of the treatment process. We aimed to develop and validate an automated Fast Healthcare Interoperability Resources (FHIR)-based 12-lead ECG mobile alert system for use in an emergency department (ED). MATERIALS AND

methodsAn automated FHIR-based 12-lead ECG alert system was developed in the ED of an academic tertiary care hospital. The system was aimed at generating an alert for patients with suspected acute coronary syndrome based on interpretation by the legacy device. The alert is transmitted to physicians both via a mobile application and the patient's electronic medical record (EMR). The automated FHIR-based 12-lead ECG alert system processing interval was defined as the time from ED arrival and 12-lead ECG capture to the time when the FHIR-based notification was transmitted.

resultsDuring the study period, 3812 emergency visits and 1581 12-lead ECGs were recorded. The FHIR system generated 155 alerts for 116 patients. The alerted patients were significantly older [mean (standard deviation): 68.1 (12.4) years vs. 59.6 (16.8) years,

conclusionAn automated FHIR-based 12-lead ECG mobile alert system was successfully implemented in an ED.

Indexed as

ElectrocardiographyHealth Information InteroperabilityTelemedicineAcute Coronary SyndromeAgedAutomationElectrodesEmergency Service, HospitalFemaleHumansMaleMiddle AgedTime Factorselectrocardiogramhealth information exchangeHealth information interoperabilityST elevation myocardial infarctionworkflow

Identifiers

PMID32390365
PMCPMC7214107

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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.