- Health and Medical Big Data Forum: Large Language Models in Healthcare
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Choi J
- KMID: 2555208
- Healthc Inform Res.
- 2024 Apr;30(2):91-92.
- doi: 10.4258/hir.2024.30.2.91
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- Informatics Competencies of Students in a Doctor of Nursing Practice Program: A Descriptive Study
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Choi J, Woo S, Tarte V
- KMID: 2555214
- Healthc Inform Res.
- 2024 Apr;30(2):147-153.
- doi: 10.4258/hir.2024.30.2.147
Objectives: Health systems that apply artificial intelligence (AI) are transforming the roles of healthcare providers, including those of Doctor of Nursing Practice (DNP) providers. These professionals are required to utilize... -
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- Empowering Healthcare through Comprehensive Informatics Education: The Status and Future of Biomedical and Health Informatics Education
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Lee KH, Kim MG, Lee JH, Lee J, Cho I, Choi M, Han HW, Park M
- KMID: 2555211
- Healthc Inform Res.
- 2024 Apr;30(2):113-126.
- doi: 10.4258/hir.2024.30.2.113
Objectives: Education in biomedical and health informatics is essential for managing complex healthcare systems, bridging the gap between healthcare and information technology, and adapting to the digital requirements of the... -
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- Adoption of Electronic Medical Records in Healthcare Facilities in the Emirate of Dubai
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Abdulrahman M, El-Hassan O, Redha MAA, Almalki M
- KMID: 2555215
- Healthc Inform Res.
- 2024 Apr;30(2):154-161.
- doi: 10.4258/hir.2024.30.2.154
Objectives: This paper aimed to assess the adoption of electronic medical records (EMRs) in healthcare facilities in Dubai, the largest city in the United Arab Emirates (UAE) and a location... -
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- Corrigendum to: 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, Chega Y, Jung H, Lee S, Park RW, Kim K, Hwangbo Y, Lee JH, Park YR
- KMID: 2555217
- Healthc Inform Res.
- 2024 Apr;30(2):168-168.
- doi: 10.4258/hir.2024.30.2.168
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- Status of MyHealthWay and Suggestions for Widespread Implementation, Emphasizing the Utilization and Practical Use of Personal Medical Data
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Ha T, Kang S, Yeo NY, Kim TH, Kim WJ, Yi BK, Jang JW, Park SW
- KMID: 2555210
- Healthc Inform Res.
- 2024 Apr;30(2):103-112.
- doi: 10.4258/hir.2024.30.2.103
Objectives: In the Fourth Industrial Revolution, there is a focus on managing diverse medical data to improve healthcare and prevent disease. The challenges include tracking detailed medical records across multiple... -
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- Development and Validation of Adaptable Skin Cancer Classification System Using Dynamically Expandable Representation
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Jang BK, Park YR
- KMID: 2555213
- Healthc Inform Res.
- 2024 Apr;30(2):140-146.
- doi: 10.4258/hir.2024.30.2.140
Objectives: Skin cancer is a prevalent type of malignancy, necessitating efficient diagnostic tools. This study aimed to develop an automated skin lesion classification model using the dynamically expandable representation (DER)... -
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- Current Health Data Standardization Project and Future Directions to Ensure Interoperability in Korea
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Kwon A, Lee HY, Shin SY, Yang K, Sung Y, Lee K, Byeon NS, Lim TH, Lee JH
- KMID: 2555209
- Healthc Inform Res.
- 2024 Apr;30(2):93-102.
- doi: 10.4258/hir.2024.30.2.93
Objectives: The need for interoperability at the national level was highlighted in Korea, leading to a consensus on the importance of establishing national standards that align with international technological standards... -
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- Effect of Mobile Health Applications on Improving Self-Management Knowledge and Seizure Control in Epilepsy Patients: A Scoping Review
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Ernawati I, Yasin NM, Setyopranoto I, Ikawati Z
- KMID: 2555212
- Healthc Inform Res.
- 2024 Apr;30(2):127-139.
- doi: 10.4258/hir.2024.30.2.127
Objectives: Mobile health app-based interventions are increasingly being developed to support chronic disease management, particularly for epilepsy patients. These interventions focus on managing stress, monitoring drug side effects, providing education,... -
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- Prevalence of Selected Ophthalmic Diseases Using a Smartphone-Based Fundus Imaging System in Quang Tri and Thai Nguyen, Vietnam
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Kim J, Yoon S, Kim HYS
- KMID: 2555216
- Healthc Inform Res.
- 2024 Apr;30(2):162-167.
- doi: 10.4258/hir.2024.30.2.162
Objectives: This study investigated the prevalence of ophthalmic diseases in Quang Tri and Thai Nguyen, Vietnam, utilizing a smartphone-based fundus imaging (SBFI) system. Methods: This cross-sectional study included nearly 10,000 patients... -
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