- Issues in Publication Ethics of Healthcare Informatics Research since 2010
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Kwon IH
- KMID: 2469403
- Healthc Inform Res.
- 2020 Jan;26(1):78-79.
- doi: 10.4258/hir.2020.26.1.78
No abstract available. -
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- Research and Publication Ethics in Academia
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Chang H
- KMID: 2469394
- Healthc Inform Res.
- 2020 Jan;26(1):1-2.
- doi: 10.4258/hir.2020.26.1.1
No abstract available. -
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- Big Data-Driven Approach for Health Inequalities in Foreign Patients with Injuries Visiting Emergency Rooms
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Kang JY, Kwon J, Sohn CH, Kim YJ, Lim HW, Lee SJ, Kim WY, Kim N, Seo DW
- KMID: 2469398
- Healthc Inform Res.
- 2020 Jan;26(1):34-41.
- doi: 10.4258/hir.2020.26.1.34
OBJECTIVES: Foreign patients are more likely to receive inappropriate health service in the emergency room. This study aimed to investigate whether there is health inequality between foreigners and natives who... -
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- Association between Full Electronic Medical Record System Adoption and Drug Use: Antibiotics and Polypharmacy
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Park YT, Kim D, Park RW, Atalag K, Kwon IH, Yoon D, Choi M
- KMID: 2469402
- Healthc Inform Res.
- 2020 Jan;26(1):68-77.
- doi: 10.4258/hir.2020.26.1.68
OBJECTIVES: We investigated associations between full Electronic Medical Record (EMR) system adoption and drug use in healthcare organizations (HCOs) to explore whether EMR system features such as electronic prescribing, medicines... -
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- Application of Blockchain to Maintaining Patient Records in Electronic Health Record for Enhanced Privacy, Scalability, and Availability
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Tith D, Lee JS, Suzuki H, Wijesundara WMAB, Taira N, Obi T, Ohyama N
- KMID: 2469395
- Healthc Inform Res.
- 2020 Jan;26(1):3-12.
- doi: 10.4258/hir.2020.26.1.3
OBJECTIVES: Electronic Health Record (EHR) systems are increasingly used as an effective method to share patients' records among different hospitals. However, it is still a challenge to access scattered patient... -
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- Prediction of Drug–Drug Interactions by Using Profile Fingerprint Vectors and Protein Similarities
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Dere S, Ayvaz S
- KMID: 2469399
- Healthc Inform Res.
- 2020 Jan;26(1):42-49.
- doi: 10.4258/hir.2020.26.1.42
OBJECTIVES: Drug–drug interaction (DDI) is a vital problem that threatens people's health. However, the prediction of DDIs through in-vivo experiments is not only extremely costly but also difficult as many... -
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- Immediate Effects and Acceptability of an Application-Based Stretching Exercise Incorporating Deep Slow Breathing for Neck Pain Self-management
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Thongtipmak S, Buranruk O, Eungpinichpong W, Konharn K
- KMID: 2469400
- Healthc Inform Res.
- 2020 Jan;26(1):50-60.
- doi: 10.4258/hir.2020.26.1.50
OBJECTIVES: This study evaluated the immediate effects and acceptability of a smartphone application named NeckProtector to promote neck pain self-management through stretching incorporating deep slow breathing, among smartphone users with... -
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- Web-Based Spine Segmentation Using Deep Learning in Computed Tomography Images
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Kim YJ, Ganbold B, Kim KG
- KMID: 2469401
- Healthc Inform Res.
- 2020 Jan;26(1):61-67.
- doi: 10.4258/hir.2020.26.1.61
OBJECTIVES: Back pain, especially lower back pain, is experienced in 60% to 80% of adults at some points during their lives. Various studies have found that lower back pain is... -
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- Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms
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Symum H, Zayas-Castro JL
- KMID: 2469397
- Healthc Inform Res.
- 2020 Jan;26(1):20-33.
- doi: 10.4258/hir.2020.26.1.20
OBJECTIVES: The study aimed to develop and compare predictive models based on supervised machine learning algorithms for predicting the prolonged length of stay (LOS) of hospitalized patients diagnosed with five... -
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- Machine Learning and Initial Nursing Assessment-Based Triage System for Emergency Department
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Yu JY, Jeong GY, Jeong OS, Chang DK, Cha WC
- KMID: 2469396
- Healthc Inform Res.
- 2020 Jan;26(1):13-19.
- doi: 10.4258/hir.2020.26.1.13
OBJECTIVES: The aim of this study was to develop machine learning (ML) and initial nursing assessment (INA)-based emergency department (ED) triage to predict adverse clinical outcome. METHODS: The retrospective study included... -
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