- Digital Transformation and Digital Leadership
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Martins H
- KMID: 2462235
- Healthc Inform Res.
- 2019 Oct;25(4):350-351.
- doi: 10.4258/hir.2019.25.4.350
No abstract available. -
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- Emerging Ethical Issues in Managing Real World Data
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Yang KM
- KMID: 2462221
- Healthc Inform Res.
- 2019 Oct;25(4):237-238.
- doi: 10.4258/hir.2019.25.4.237
No abstract available. -
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- PACS Implementation Challenges in a Public Healthcare Institution: A South African Vendor Perspective
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Abbas R, Singh Y
- KMID: 2462231
- Healthc Inform Res.
- 2019 Oct;25(4):324-331.
- doi: 10.4258/hir.2019.25.4.324
OBJECTIVES: Conventional radiological processes have been replaced by digital images and information technology systems within South Africa and other developing countries. Picture Archiving and Communication Systems (PACS) technology offers many... -
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- Integrating Genetic Data into Electronic Health Records: Medical Geneticists' Perspectives
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Ayatollahi H, Hosseini S, Hemmat M
- KMID: 2462227
- Healthc Inform Res.
- 2019 Oct;25(4):289-296.
- doi: 10.4258/hir.2019.25.4.289
OBJECTIVES: Genetic disorders are the main causes of many other diseases. Integrating genetic data into Electronic Health Records (EHRs) can facilitate the management of genetic information and care of patients... -
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- Stacking Ensemble Technique for Classifying Breast Cancer
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Kwon H, Park J, Lee Y
- KMID: 2462226
- Healthc Inform Res.
- 2019 Oct;25(4):283-288.
- doi: 10.4258/hir.2019.25.4.283
OBJECTIVES: Breast cancer is the second most common cancer among Korean women. Because breast cancer is strongly associated with negative emotional and physical changes, early detection and treatment of breast... -
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- Follow-Up Decision Support Tool for Public Healthcare: A Design Research Perspective
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Miah SJ, Hasan N, Gammack J
- KMID: 2462230
- Healthc Inform Res.
- 2019 Oct;25(4):313-323.
- doi: 10.4258/hir.2019.25.4.313
OBJECTIVES: Mobile health (m-Health) technologies may provide an appropriate follow-up support service for patient groups with post-treatment conditions. While previous studies have introduced m-Health methods for patient care, a smart... -
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- Dietary Application for the Management of Patients with Hemodialysis: A Formative Development Study
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Fakih El Khoury C, Karavetian M, Halfens RJ, Crutzen R, El Chaar D, Schols JM
- KMID: 2462224
- Healthc Inform Res.
- 2019 Oct;25(4):262-273.
- doi: 10.4258/hir.2019.25.4.262
OBJECTIVES: To describe the step-by-step person-centered, theory-based development of the KELA.AE app for Arabic speaking hemodialysis patients. METHODS: A step-by-step person-driven theory-based approach was conducted to develop a self-monitoring and educational... -
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- ICT-Based Comprehensive Health and Social-Needs Assessment System for Supporting Person-Centered Community Care
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Park M, Choi EJ, Jeong M, Lee N, Kwak M, Lee M, Lim EC, Nam H, Kim D, Ku H, Yang BS, Na J, Jang JS, Kim JY, Lee W
- KMID: 2462233
- Healthc Inform Res.
- 2019 Oct;25(4):338-343.
- doi: 10.4258/hir.2019.25.4.338
OBJECTIVES: This study developed an information and communication technology (ICT)-based comprehensive health and social-needs assessment (CHSNA) system based on the International Classification of Functioning, Disability, and Health (ICF) with the... -
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- Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods
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Abhari S, Niakan Kalhori SR, Ebrahimi M, Hasannejadasl H, Garavand A
- KMID: 2462223
- Healthc Inform Res.
- 2019 Oct;25(4):248-261.
- doi: 10.4258/hir.2019.25.4.248
OBJECTIVES: The incidence of type 2 diabetes mellitus has increased significantly in recent years. With the development of artificial intelligence applications in healthcare, they are used for diagnosis, therapeutic decision... -
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- Protecting and Utilizing Health and Medical Big Data: Policy Perspectives from Korea
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Lee D, Park M, Chang S, Ko H
- KMID: 2462222
- Healthc Inform Res.
- 2019 Oct;25(4):239-247.
- doi: 10.4258/hir.2019.25.4.239
OBJECTIVES: We analyzed Korea's data privacy regime in the context of protecting and utilizing health and medical big data and tried to draw policy implications from the analyses. METHODS: We conducted... -
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- Effect of Watch-Type Haptic Metronome on the Quality of Cardiopulmonary Resuscitation: A Simulation Study
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Choi B, Kim T, Yoon SY, Yoo JS, Won HJ, Kim K, Kang EJ, Yoon H, Hwang SY, Shin TG, Sim MS, Cha WC
- KMID: 2462225
- Healthc Inform Res.
- 2019 Oct;25(4):274-282.
- doi: 10.4258/hir.2019.25.4.274
OBJECTIVES: The aim of this study was to test the applicability of haptic feedback using a smartwatch to the delivery of cardiac compression (CC) by professional healthcare providers. METHODS: A prospective,... -
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- Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients
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Choi SW, Ko T, Hong KJ, Kim KH
- KMID: 2462229
- Healthc Inform Res.
- 2019 Oct;25(4):305-312.
- doi: 10.4258/hir.2019.25.4.305
OBJECTIVES: Triage is a process to accurately assess and classify symptoms to identify and provide rapid treatment to patients. The Korean Triage and Acuity Scale (KTAS) is used as a... -
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- Real-Time Computed Tomography Volume Visualization with Ambient Occlusion of Hand-Drawn Transfer Function Using Local Vicinity Statistic
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Kim J, Ha T, Kye H
- KMID: 2462228
- Healthc Inform Res.
- 2019 Oct;25(4):297-304.
- doi: 10.4258/hir.2019.25.4.297
OBJECTIVES: In this paper, we present an efficient method to visualize computed tomography (CT) datasets using ambient occlusion, which is a global illumination technique that adds depth cues to the... -
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- Factors Associated with Daily Completion Rates in a Smartphone-Based Ecological Momentary Assessment Study
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Yang YS, Ryu GW, Choi M
- KMID: 2462232
- Healthc Inform Res.
- 2019 Oct;25(4):332-337.
- doi: 10.4258/hir.2019.25.4.332
OBJECTIVES: Ecological momentary assessment (EMA) methods are known to have validity for capturing momentary changes in variables over time. However, data quality relies on the completion rates, which are influenced... -
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- Augmentation of Doppler Radar Data Using Generative Adversarial Network for Human Motion Analysis
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Alnujaim I, Kim Y
- KMID: 2462234
- Healthc Inform Res.
- 2019 Oct;25(4):344-349.
- doi: 10.4258/hir.2019.25.4.344
OBJECTIVES: Human motion analysis can be applied to the diagnosis of musculoskeletal diseases, rehabilitation therapies, fall detection, and estimation of energy expenditure. To analyze human motion with micro-Doppler signatures measured... -
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