- Review of the Spring Conference of the Korean Society of Medical Informatics 2023: Revolution and Innovation in Smart Healthcare
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Park J, Ko T, Lee Y, Yang K
- KMID: 2544869
- Healthc Inform Res.
- 2023 Jul;29(3):187-189.
- doi: 10.4258/hir.2023.29.3.187
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- Challenges in Adopting Artificial Intelligence to Improve Healthcare Systems and Outcomes in Thailand
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Pongtriang P, Rakhab A, Bian J, Guo Y, Maitree K
- KMID: 2544879
- Healthc Inform Res.
- 2023 Jul;29(3):280-282.
- doi: 10.4258/hir.2023.29.3.280
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- Secondary Use Provisions in the European Health Data Space Proposal and Policy Recommendations for Korea
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Lee WB, Choi SJ
- KMID: 2544871
- Healthc Inform Res.
- 2023 Jul;29(3):199-208.
- doi: 10.4258/hir.2023.29.3.199
Objectives: This article explores the secondary use provisions of the European Health Data Space (EHDS), proposed by the European Commission in May 2022, and offers policy recommendations for South Korea.... -
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- Exploring the Category and Use Cases on Digital Therapeutic Methodologies
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An S, Ko J, Yu KS, Kwon H, Kim S, Hong J, Kong HJ
- KMID: 2544870
- Healthc Inform Res.
- 2023 Jul;29(3):190-198.
- doi: 10.4258/hir.2023.29.3.190
Objectives: As the Fourth Industrial Revolution advances, there is a growing interest in digital technology. In particular, the use of digital therapeutics (DTx) in healthcare is anticipated to reduce medical... -
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- Need for Information and Communication Technology during COVID-19: An Exploratory Study Using Nurses’ Activity Diaries
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Lee H, Lee D, Lee3 S
- KMID: 2544877
- Healthc Inform Res.
- 2023 Jul;29(3):256-268.
- doi: 10.4258/hir.2023.29.3.256
Objectives: The coronavirus disease 2019 (COVID-19) pandemic has led to high levels of burnout among nurses. Information and communication technology (ICT) may offer a solution to prevent a potential collapse... -
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- Development and Verification of Time-Series Deep Learning for Drug-Induced Liver Injury Detection in Patients Taking Angiotensin II Receptor Blockers: A Multicenter Distributed Research Network Approach
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Heo S, Yu JY, Kang EA, Shin H, Ryu K, Kim C, Chegal Y, Jung H, Lee S, Park RW, Kim K, Hwangbo Y, Lee JH, Park YR
- KMID: 2544876
- Healthc Inform Res.
- 2023 Jul;29(3):246-255.
- doi: 10.4258/hir.2023.29.3.246
Objectives: The objective of this study was to develop and validate a multicenter-based, multi-model, time-series deep learning model for predicting drug-induced liver injury (DILI) in patients taking angiotensin receptor blockers... -
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- Influence of Practice Characteristics on the Adoption of Electronic Dental Records in Jeddah, Saudi Arabia
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Majid IA, Alikutty FK, Qadah HZ, Kofiyh KA, Alsaadi RAD, Alsubhi RM, Irfan AN
- KMID: 2544875
- Healthc Inform Res.
- 2023 Jul;29(3):239-245.
- doi: 10.4258/hir.2023.29.3.239
Objectives: The adoption of electronic dental records (EDRs) is less extensively studied than electronic medical records (EMRs) in Saudi Arabia. Therefore, a multivariate analysis was conducted to calculate the adoption... -
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- Simulation Method for the Physical Deformation of a Three-Dimensional Soft Body in Augmented Reality-Based External Ventricular Drainage
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Koo K, Park T, Jeong H, Khang S, Koh CS, Park M, Kim MJ, Jung HH, Shin J, Kim KW, Lee J
- KMID: 2544873
- Healthc Inform Res.
- 2023 Jul;29(3):218-227.
- doi: 10.4258/hir.2023.29.3.218
Objectives: Intraoperative navigation reduces the risk of major complications and increases the likelihood of optimal surgical outcomes. This paper presents an augmented reality (AR)-based simulation technique for ventriculostomy that visualizes... -
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- Current Status and Key Issues of Data Management in Tertiary Hospitals: A Case Study of Seoul National University Hospital
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Choi J, Park H, Chie EK, Choi SW, Lee HY, Yoo S, Kim BJ, Ryu B
- KMID: 2544872
- Healthc Inform Res.
- 2023 Jul;29(3):209-217.
- doi: 10.4258/hir.2023.29.3.209
Objectives: In the era of the Fourth Industrial Revolution, where an ecosystem is being developed to enhance the quality of healthcare services by applying information and communication technologies, systematic and... -
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- Sentiment and Topic Modeling Analysis on Twitter Reveals Concerns over Cannabis-Containing Food after Cannabis Legalization in Thailand
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Lerksuthirat T, Srisuma S, Ongphiphadhanakul B, Kueanjinda P
- KMID: 2544878
- Healthc Inform Res.
- 2023 Jul;29(3):269-279.
- doi: 10.4258/hir.2023.29.3.269
Objectives: Twitter has been used to express a diverse range of public opinions about cannabis legalization in Thailand. The purpose of this study was to observe changes in sentiments after... -
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- Understanding Arteriosclerotic Heart Disease Patients Using Electronic Health Records: A Machine Learning and Shapley Additive exPlanations Approach
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Miranda E, Adiarto S, Bhatti FM, Zakiyyah AY, Aryuni M, Bernando C
- KMID: 2544874
- Healthc Inform Res.
- 2023 Jul;29(3):228-238.
- doi: 10.4258/hir.2023.29.3.228
Objectives: The number of deaths from cardiovascular disease is projected to reach 23.3 million by 2030. As a contribution to preventing this phenomenon, this paper proposed a machine learning (ML)... -
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