Junhyuk Seo

Nursing · Digital Health · AI — converging on sustainable care.

Junhyuk Seo

Registered Nurse · Researcher · Product Lead

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About

Grounded in five years at the neurosurgical ICU bedside, I translated frontline clinical practice into digital health research on large language models and clinical decision support. Today, I lead product at a healthcare AI startup, building systems that turn clinical judgment into deployable AI.

Current at

ETOILE Inc.

Product Lead & Director, Healthcare Research Institute

etoilehealth.ai →

Experience

Product Lead & Director, Healthcare Research Institute

2026 – Present
ETOILE Inc.

Healthcare AI startup building clinical judgment systems for insurance reimbursement review and proactive clinical decision support.

Early Contributor — Nurpass

2024
Nurpass

LLM-powered tool assisting nursing students in writing job application cover letters. Contributed to product planning, development, and deployment.

Master of Science in Digital Health, SAIHST

2023 – 2025

Sungkyunkwan University, Seoul

Thesis — Impact of Nursing Workload on Delayed Antibiotic Administration in the Emergency Department: An Explainable Machine Learning-Based Analysis

Advisor — Dr. Won Chul Cha

Neurosurgical ICU (NSICU) Staff Nurse

2020 – 2026

Samsung Medical Center

Critical care nursing in the Neurosurgery ICU — continuous monitoring and intensive management of critically ill neurosurgical patients.

Research Assistant

2020

Chungbuk National University

Air Force Medic, General Ward

2014 – 2017

Aerospace Medical Center

Bachelor of Science in Nursing

2013 – 2020

Chungbuk National University, Cheongju

Publications

Journal2026

Seo, J., Kim, T., & Kim, J. H. (2026). Assessing Eligibility for Anticancer Drug Health Insurance Reimbursement Using Large Language Models: Benchmark Development and Comparative Study. Journal of Medical Internet Research, 28, e95877.

Journal2026

Choi, D., Seo, J., Cha, W. C., Kim, M., Heo, S., Chang, H., & Kim, T. (2026). Automated Chain-of-Thought Evaluation Framework for LLM-generated Emergency Department Documentation: A Simulation-based Study. Clinical and Experimental Emergency Medicine, 13(1), 53–64.

Conference2026

Seo, J., Moon, H., Jung, K., Oh, N., & Kim, T. (2026). AURA: Development and Validation of an Augmented Unplanned Removal Alert System using Synthetic ICU Videos. Proceedings of the AAAI Conference on Artificial Intelligence (Social Impact Track). [Oral]

Journal2025

Seo, J., Park, S., Cha, W. C., et al. Predicting delays in antibiotic administration in the emergency department: A machine learning approach incorporating nursing workload and crowding factors. Signa Vitae.

Conference2025

Seo, J., Choi, D., Cha, W., & Kim, T. (2025). LLM-Based Medical Document Evaluation: Integrating Human Expert Insights. Studies in Health Technology and Informatics, 329, 1029–1033.

Presentations

AURA: Augmented Unplanned Removal Alert System using Synthetic ICU Videos

2026

AAAI, Singapore · Podium

Oregon Hospital Nurses' Expectations of a Statewide Nurse Staffing Law

2026

IRGNI Annual Research Meeting, Seattle · Podium

Co-author · presented by H. Yu

Oregon Hospital Nurses' Expectations of a Statewide Nurse Staffing Law

2026

AcademyHealth Annual Research Meeting, Seattle · Poster

Co-author · presented by H. Yu

Patents

Registrations

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

KR 1027322640000

View →

Apparatus and Method to Monitor the Risk of Unplanned Self Extubation of Intubation Patients

KR 1028976420000

View →

Grants & Honors

Research Grants

AI in Nursing: Practice to Governance

Dept. of Nursing, Samsung Medical Center · 2025

Machine Learning Analysis of Analgesic Decision in Post-Craniotomy Patients

Dept. of Nursing, Samsung Medical Center · 2025

Digital Transformation in Nursing Admission Assessment

Dept. of Nursing, Samsung Medical Center · 2024

Honors & Awards

Best Student Paper (2nd Place)

MedInfo, Taipei · 2025

Innovation Award

Dept. of Nursing, Samsung Medical Center · 2025

Invited Talks & Lectures

From Clinical Practice to System Development

2026

Korean Association of Critical Care Nurses

The Role and Opportunities for Nurses in the Age of AI

2026

College of Nursing, Keimyung University

Service

Committees

Project Coordinator

Digital Nursing Task Force, Samsung Medical Center · 2024 – 2025

Ad Hoc Reviewer

  • International Journal of Nursing Studies
  • Digital Health
  • Clinical and Experimental Emergency Medicine

Certifications & Licensure

Microsoft Certified: Azure Data Fundamentals (DP-900)

2025

Microsoft Certified: Azure Fundamentals (AZ-900)

2025

Microsoft Certified: Azure AI Fundamentals (AI-900)

2025

Big Data Analysis Engineer

Korea Data Agency · 2023

Survey Analyst, Junior

HRD Korea · 2022

Advanced Data Analytics Semi-Professional (ADsP)

Korea Data Agency · 2022

Licensure

Registered Nurse — South Korea #427301

Affiliations

  • The Korean Society of Medical Informatics (KOSMI) · 2023 – Present
  • Korean Nurses Association (KNA) · 2020 – Present