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Hansol Chang

Showing results (1-10 of 44) with videos related to

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Clinical and Experimental Emergency Medicine|October 12, 2022
Artificial intelligence decision points in an emergency departmentHansol Chang, Won Chul Cha
Journal of Korean Medical Science|October 11, 2023
Patient Anxiety and Communication Experience in the Emergency Department: A Mobile, Web-Based, Mixed-Methods Study on Patient Isolation During the COVID-19 PandemicSumin Kim, Hansol Chang, Taerim Kim, et al.
Studies in Health Technology and Informatics|May 23, 2026
Modeling the Clinical Reasoning Workflow: A Dynamic, Time-Aware CDSS for the Emergency DepartmentChaeyeon Park, Sanga Ahn, Hansol Chang, et al.
Plos One|May 11, 2022
Gender effect in survival after out-of-hospital cardiac arrest: A nationwide, population-based, case-control propensity score matched study based Korean national cardiac arrest registryHan Zo Choi, Hansol Chang, Seok Hoon Ko, et al.
Scientific Reports|June 22, 2022
Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triageHansol Chang, Jae Yong Yu, Sunyoung Yoon, et al.
Scientific Reports|March 10, 2023
Feasibility of patch-type wireless 12-lead electrocardiogram in laypersonsSunyoung Yoon, Taerim Kim, Eunjin Kang, et al.
Clinical and Experimental Emergency Medicine|December 2, 2025
Automated Evaluation Framework for AI-Generated Emergency Department Documentation: A Chain-of-Thought Validation StudyDasol Choi, Junhyuk Seo, Won Cul Cha, et al.
Clinical and Experimental Emergency Medicine|January 1, 2025
Emergency department crowding: a national data reportHansol Chang, Eunsil Ko, Jin-Hee Lee, et al.
JMIR Medical Informatics|October 4, 2022
Appropriateness of Alerts and Physicians' Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational StudyHyunjung Park, Minjung Kathy Chae, Woohyeon Jeong, et al.
Scientific Reports|February 27, 2025
Prediction of contrast-associated acute kidney injury with machine-learning in patients undergoing contrast-enhanced computed tomography in emergency departmentKyungho Lee, Weon Jung, Junseok Jeon, et al.
Pageof 5

Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
Clinical and Experimental Emergency Medicine|October 12, 2022
Artificial intelligence decision points in an emergency departmentHansol Chang, Won Chul Cha
Journal of Korean Medical Science|October 11, 2023
Patient Anxiety and Communication Experience in the Emergency Department: A Mobile, Web-Based, Mixed-Methods Study on Patient Isolation During the COVID-19 PandemicSumin Kim, Hansol Chang, Taerim Kim, et al.
Studies in Health Technology and Informatics|May 23, 2026
Modeling the Clinical Reasoning Workflow: A Dynamic, Time-Aware CDSS for the Emergency DepartmentChaeyeon Park, Sanga Ahn, Hansol Chang, et al.
Plos One|May 11, 2022
Gender effect in survival after out-of-hospital cardiac arrest: A nationwide, population-based, case-control propensity score matched study based Korean national cardiac arrest registryHan Zo Choi, Hansol Chang, Seok Hoon Ko, et al.
Scientific Reports|June 22, 2022
Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triageHansol Chang, Jae Yong Yu, Sunyoung Yoon, et al.
Scientific Reports|March 10, 2023
Feasibility of patch-type wireless 12-lead electrocardiogram in laypersonsSunyoung Yoon, Taerim Kim, Eunjin Kang, et al.
Clinical and Experimental Emergency Medicine|December 2, 2025
Automated Evaluation Framework for AI-Generated Emergency Department Documentation: A Chain-of-Thought Validation StudyDasol Choi, Junhyuk Seo, Won Cul Cha, et al.
Clinical and Experimental Emergency Medicine|January 1, 2025
Emergency department crowding: a national data reportHansol Chang, Eunsil Ko, Jin-Hee Lee, et al.
JMIR Medical Informatics|October 4, 2022
Appropriateness of Alerts and Physicians' Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational StudyHyunjung Park, Minjung Kathy Chae, Woohyeon Jeong, et al.
Scientific Reports|February 27, 2025
Prediction of contrast-associated acute kidney injury with machine-learning in patients undergoing contrast-enhanced computed tomography in emergency departmentKyungho Lee, Weon Jung, Junseok Jeon, et al.
Pageof 5