- Privacy Protection and Data Utilization
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Shin SY
- KMID: 2512618
- Healthc Inform Res.
- 2021 Jan;27(1):1-2.
- doi: 10.4258/hir.2021.27.1.1
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- Impact of Simulated Electronic Health Records on Informatics Competency of Students in Informatics Course
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Choi J, Bove LA, Tarte V, Choi WJ
- KMID: 2512626
- Healthc Inform Res.
- 2021 Jan;27(1):67-72.
- doi: 10.4258/hir.2021.27.1.67
Objectives: Nursing has embraced online education to increase its workforce while providing flexible advanced education to nurse professionals. Faculty use virtual simulation and other adaptive learning technologies to enhance learning... -
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- Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary
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Seong Y, You SC, Ostropolets A, Rho Y, Park J, Cho J, Dymshyts D, Reich CG, Heo Y, Park RW
- KMID: 2512622
- Healthc Inform Res.
- 2021 Jan;27(1):29-38.
- doi: 10.4258/hir.2021.27.1.29
Objectives: We incorporated the Korean Electronic Data Interchange (EDI) vocabulary into Observational Medical Outcomes Partnership (OMOP) vocabulary using a semi-automated process. The goal of this study was to improve the... -
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- Comprehensive Review of Factors Influencing the Use of Telepractice in Stuttering Treatment
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Bayati B, Ayatollahi H
- KMID: 2512625
- Healthc Inform Res.
- 2021 Jan;27(1):57-66.
- doi: 10.4258/hir.2021.27.1.57
Objectives: Stuttering is a speech disorder characterized by the repetition of sounds, syllables, or words; prolongation of sounds; and interruptions in speech. Telepractice allows speech services to be delivered to... -
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- Strategies for Adopting and Implementing SNOMED CT in Korea
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Park HA, Yu SJ, Jung H
- KMID: 2512619
- Healthc Inform Res.
- 2021 Jan;27(1):3-10.
- doi: 10.4258/hir.2021.27.1.3
Objectives: The objective of this study was to introduce the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), to describe use cases of SNOMED CT with the barriers and facilitators,... -
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- API Driven On-Demand Participant ID Pseudonymization in Heterogeneous Multi-Study Research
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Syed S, Syed M, Syeda HB, Garza M, Bennett W, Bona J, Begum S, Baghal A, Zozus M, Prior F
- KMID: 2512623
- Healthc Inform Res.
- 2021 Jan;27(1):39-47.
- doi: 10.4258/hir.2021.27.1.39
Objectives: To facilitate clinical and translational research, imaging and non-imaging clinical data from multiple disparate systems must be aggregated for analysis. Study participant records from various sources are linked together... -
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- Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram Analysis
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Jang JH, Kim TY, Yoon D
- KMID: 2512621
- Healthc Inform Res.
- 2021 Jan;27(1):19-28.
- doi: 10.4258/hir.2021.27.1.19
Objectives: Many deep learning-based predictive models evaluate the waveforms of electrocardiograms (ECGs). Because deep learning-based models are data-driven, large and labeled biosignal datasets are required. Most individual researchers find it... -
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- Effects of Self-Education on Patient Safety via Smartphone Application for Self-Efficacy and Safety Behaviors of Inpatients in Korea
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Cho S, Lee E
- KMID: 2512624
- Healthc Inform Res.
- 2021 Jan;27(1):48-56.
- doi: 10.4258/hir.2021.27.1.48
Objectives: This study aimed to determine whether self-educational intervention on patient safety via a smartphone application could improve the level of self-efficacy and safety behaviors of patients. In addition the... -
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- Codeless Deep Learning of COVID-19 Chest X-Ray Image Dataset with KNIME Analytics Platform
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An JY, Seo H, Kim YG, Lee KE, Kim S, Kong HJ
- KMID: 2512628
- Healthc Inform Res.
- 2021 Jan;27(1):82-91.
- doi: 10.4258/hir.2021.27.1.82
Objectives: This paper proposes a method for computer-assisted diagnosis of coronavirus disease 2019 (COVID-19) through chest X-ray imaging using a deep learning model without writing a single line of code... -
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- Measurement Device for Stress Level and Vital Sign Based on Sensor Fusion
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Basjaruddin NC, Syahbarudin F, Sutjiredjeki E
- KMID: 2512620
- Healthc Inform Res.
- 2021 Jan;27(1):11-18.
- doi: 10.4258/hir.2021.27.1.11
Objectives: Medical health monitoring generally refers to two important aspects of health, namely, physical and mental health. Physical health can be measured through the basic parameters of normal values of... -
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- Dynamic Demand-Centered Process-Oriented Data Model for Inventory Management of Hemovigilance Systems
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Sohrabi M, Zandieh M, Nadjafi BA
- KMID: 2512627
- Healthc Inform Res.
- 2021 Jan;27(1):73-81.
- doi: 10.4258/hir.2021.27.1.73
Objectives: This paper presents a reference data model for blood bank management to control blood inventories considering real-world uncertainties and constraints. It helps information systems identify blood product status for... -
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