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Junhyuk Seo

Registered Nurse • Researcher • Innovator

About Me

I'm a registered nurse at Samsung Medical Center and a master's student in Digital Health at Sungkyunkwan University. I'm passionate about transforming healthcare through data and technology—specializing in clinical data analysis, AI integration, and patient-centered innovation.

Current at

Samsung Medical Center

Department of Nursing

Neurosurgery Intensive Care Unit

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Sungkyunkwan University

Department of Digital Health, SAIHST

Smart Health Lab (Advisor: Prof. Won Chul Cha)

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Clinical Experience

Registered Nurse

2020 - Present

Samsung Medical Center

Providing critical care nursing in the Neurosurgery Intensive Care Unit, specializing in the care of patients with neurological conditions and post-neurosurgical recovery. Responsible for continuous monitoring, comprehensive assessment, and intensive management of critically ill patients, including those with traumatic brain injuries and brain tumors.

Research Experience

Nurse-Led AI: Innovative Strategies for Clinical Nursing Practice

Jun 2025

ICN Congress 2025, Helsinki, Finland

Oral presentation on the "Digital Nursing Task Force", an initiative for AI in nursing at Samsung Medical Center. Our experience highlighted the importance of empowering nurses in clinical settings.

Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study

Nov 2024

Journal of Medical Internet Research

Developed a comprehensive framework for evaluating the quality and accuracy of medical documentation generated by large language models. The study included both qualitative and quantitative assessment methods.

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Nursing Workload and Overcrowding: Patient Safety Role in Emergency Department

Nov 2024

American Medical Informatics Association (AMIA) Annual Symposium, San Francisco, USA

Oral presentation on research examining the relationship between nursing workload, emergency department overcrowding, and patient safety outcomes.

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ChatGPT Predicts In-Hospital All-Cause Mortality for Sepsis: In-Context Learning with the Korean Sepsis Alliance Database

Jul 2024

Healthcare Informatics Research

Compared the performance of machine learning models and large language models in predicting mortality rates for sepsis patients. The study utilized the Korean Sepsis Alliance Database and explored in-context learning capabilities.

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Projects

Digital Nursing Task Force (NURDI)

2024-Present

Project coordinator

Participating in a task force, focused on implementing digital solutions in a clinical setting at Samsung Medical Center. As a project coordinator of this future-oriented initiative, my role is to empower and guide nurses on their data and AI journey.

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Nurpass

2024

Early contributor

LLM-powered tool assisting nursing students to write job application cover letters. Participated in planning, development, and deployment.

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Patents

Method for Providing Self-Introduction Documents Using Large Language Models and System Using the Same

2024

KR-1027322640000

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Certifications

Microsoft Certified: Azure Data Fundamentals (DP-900)

Feb 2025

Microsoft Certified: Azure Fundamentals (AZ-900)

Jan 2025

Microsoft Certified: Azure AI Fundamentals (AI-900)

Jan 2025

Big Data Analysis Engineer

Jul 2023

Survey Analyst, Junior

Nov 2022

Advanced Data Analytics Semi-Professional (ADsP)

Jun 2022
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