- Data Market-related Issues in the Medical Field: Accelerating Digital Healthcare
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Kim MG, Yu HW, Han HW
- KMID: 2558325
- Healthc Inform Res.
- 2024 Jul;30(3):290-292.
- doi: 10.4258/hir.2024.30.3.290
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- Ethical Considerations for AI Use in Healthcare Research
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SeyedAlinaghi S, Habibi P, Mehraeen E
- KMID: 2558324
- Healthc Inform Res.
- 2024 Jul;30(3):286-289.
- doi: 10.4258/hir.2024.30.3.286
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- Review of the 2024 Spring Conference of the Korean Society of Medical Informatics – Omnibus Omnia
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Lee J, Lee S, Baik SY, Ko T, Yang K, Lee Y, KOSMI’s Academic Committee
- KMID: 2558313
- Healthc Inform Res.
- 2024 Jul;30(3):169-171.
- doi: 10.4258/hir.2024.30.3.169
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- Status and Trends of the Digital Healthcare Industry
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Lee NK, Kim JS
- KMID: 2558314
- Healthc Inform Res.
- 2024 Jul;30(3):172-183.
- doi: 10.4258/hir.2024.30.3.172
Objectives: This review presents a comprehensive overview of the rapidly evolving digital healthcare industry, aiming to provide a broad understanding of the recent landscape and directions for the future of... -
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- Evolving Software Architecture Design in Telemedicine: A PRISMA-based Systematic Review
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Jat AS, Grønli TM, Ghinea G, Assres G
- KMID: 2558315
- Healthc Inform Res.
- 2024 Jul;30(3):184-193.
- doi: 10.4258/hir.2024.30.3.184
Objectives: This article presents a systematic review of recent advancements in telemedicine architectures for continuous monitoring, providing a comprehensive overview of the evolving software engineering practices underpinning these systems. The... -
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- Satisfaction of Patients and Physicians with Telehealth Services during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis
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Fadaizadeh L, Velayati F, Arab-Zozani M
- KMID: 2558317
- Healthc Inform Res.
- 2024 Jul;30(3):206-223.
- doi: 10.4258/hir.2024.30.3.206
Objectives: The rapid spread of coronavirus disease 2019 (COVID-19) posed significant challenges to healthcare systems, prompting the widespread adoption of telehealth to provide medical services while minimizing the risk of... -
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- Technology and Access to Healthcare with Different Scheduling Systems: A Scoping Review
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Manarte L
- KMID: 2558316
- Healthc Inform Res.
- 2024 Jul;30(3):194-205.
- doi: 10.4258/hir.2024.30.3.194
Objectives: Online consultation scheduling is increasingly common in health services across various countries. This paper reviews articles published in the past five years and reflects on the risks and benefits... -
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- Genetic Algorithm-based Convolutional Neural Network Feature Engineering for Optimizing Coronary Heart Disease Prediction Performance
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Hidayat EY, Astuti YP, Dewi IN, Salam A, Soeleman MA, Hasibuan ZA, Yousif AS
- KMID: 2558319
- Healthc Inform Res.
- 2024 Jul;30(3):234-243.
- doi: 10.4258/hir.2024.30.3.234
Objectives: This study aimed to optimize early coronary heart disease (CHD) prediction using a genetic algorithm (GA)-based convolutional neural network (CNN) feature engineering approach. We sought to overcome the limitations... -
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- Associations between Nicotine Dependence, Smartphone Usage Patterns, and Expected Compliance with a Smoking Cessation Application among Smokers
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Kwon OB, Jung C, Kim A, Park SW, Byeon G, Lee SJ, Kim WJ
- KMID: 2558318
- Healthc Inform Res.
- 2024 Jul;30(3):224-233.
- doi: 10.4258/hir.2024.30.3.224
Objectives: Smoking remains the leading cause of preventable disease. However, smokers have shown poor compliance with smoking cessation clinics. Smartphone applications present a promising opportunity to improve this compliance. This... -
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- Integration of Artificial Intelligence in Pediatric Education: Perspectives from Pediatric Medical Educators and Residents
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Pudjiadi AH, Alatas FS, Faizi M, R, Sulistijono E, Nency YM, Julia M, Baso AJA, Hartoyo E, Susanah S, Wilar R, Nugroho HW, I, Lubis BM, Haris S, Suparyatha IBG, Amarassaphira D, Monica E, Ongko L
- KMID: 2558320
- Healthc Inform Res.
- 2024 Jul;30(3):244-252.
- doi: 10.4258/hir.2024.30.3.244
Objectives: The use of technology has rapidly increased in the past century. Artificial intelligence (AI) and information technology (IT) are now applied in healthcare and medical education. The purpose of... -
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- Scientific Publication Speed of Korean Medical Journals during the COVID-19 Era
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Seo H, Kim Y, Kim D, Kang H, Park C, Park S, Kang J, Oh J, Kang H, Han MA
- KMID: 2558323
- Healthc Inform Res.
- 2024 Jul;30(3):277-285.
- doi: 10.4258/hir.2024.30.3.277
Objectives: This study compared the scientific publication speeds of Korean medical journals before and during the coronavirus disease 2019 (COVID-19) era. Methods: We analyzed 2,064 papers from 43 international Korean medical... -
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- Predicting the Risk of Severity and Readmission in Patients with Heart Failure in Indonesia: A Machine Learning Approach
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Indriany FE, Siregar KN, Purwowiyoto BS, Siswanto BB, Sutedja I, Wijaya HR
- KMID: 2558321
- Healthc Inform Res.
- 2024 Jul;30(3):253-265.
- doi: 10.4258/hir.2024.30.3.253
Objectives: In Indonesia, the poor prognosis and high hospital readmission rates of patients with heart failure (HF) have yet to receive focused attention. However, machine learning (ML) approaches can help... -
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- ChatGPT Predicts In-Hospital All-Cause Mortality for Sepsis: In-Context Learning with the Korean Sepsis Alliance Database
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Oh N, Cha WC, Seo JH, Choi SG, Kim JM, Chung CR, Suh GY, Lee SY, Oh DK, Park MH, Lim CM, Ko RE, Korean Sepsis Alliance
- KMID: 2558322
- Healthc Inform Res.
- 2024 Jul;30(3):266-276.
- doi: 10.4258/hir.2024.30.3.266
Objectives: Sepsis is a leading global cause of mortality, and predicting its outcomes is vital for improving patient care. This study explored the capabilities of ChatGPT, a state-of-the-art natural language... -
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