Keynote Speakers
Hyeoneui Kim
PhD, MPH, RN, FAAN
Professor, College of Nursing, Seoul National University
Professor, College of Nursing, Seoul National University
Dr. Hyeoneui Kim is Professor of Nursing Informatics at the College of Nursing, Seoul National University, and is also affiliated with the Medical Informatics program, the Graduate School of Data Science, and the Healthcare AI Research Institute at Seoul National University Hospital. She earned her PhD in Health Informatics from the University of Minnesota and completed postdoctoral training at Harvard Medical School. She later held faculty positions at the University of California, San Diego and Duke University in the United States before returning to Korea, building on a career that began at the bedside, where she worked as a nurse at Seoul National University Hospital.
Her research focuses on data standardization and interoperability in healthcare, including the use of ontologies and the Observational Medical Outcomes Partnership Common Data Model. She also applies artificial intelligence to support nursing decision-making and works on consumer health informatics, using data generated by patients themselves, such as from wearable devices. Her research has been funded by the U.S. National Institutes of Health, the U.S. Centers for Disease Control and Prevention, the U.S. Agency for Healthcare Research and Quality, and Korea's National Research Foundation, among others.
Today, she joins us to discuss "Navigating AI in Nursing: Opportunities, Risks, and Professional Responsibility," bringing both a clinician's and a scientist's perspective to this timely conversation.
Our Speakers
Bridging Networks: From GradLINK 2025 to 2026
Dongkyoun Kim
Dong Kyoun Kim is a Ph.D. student majoring in Adult Health Nursing at Seoul National University in South Korea. His research interests include medical ethics in intensive care units, health issues among people with disabilities, and the health rights of people with disabilities, and he is conducting various studies applying diverse methodologies related to these topics. Recently, together with colleagues, he has been working on developing an ML-based dysphagia prediction model and conducting research on equity in the distribution of medical resources for people with disabilities using big data analysis.
Seohyeon Kim
Dr. Seohyeon Kim is an RN who recently recieved her PhD from Seoul National Universtiy. Her research focuses on healthy aging and frailty among older adults, with particular attention to populations with visual and hearing impairments. Her earlier work applied longitudinal and panel data methods, and her current research interests have expanded toward machine learning and predictive modeling to identify risk factors and predict health outcomes in vulnerable older populations.
Yu-Chun Chang
Dr. Yu-Chun Chang is a RN who recently received his PhD from National Taiwan University. His research focuses on gerontological nursing, dysphagia, nursing leadership, child maltreatment, psychometrics, item response theory, and evidence-based medicine. The primary aim of his work is to leverage advanced statistical methodologies to optimize care for vulnerable populations, including older adults and children, while also improving the nursing work environment. Furthermore, he integrates artificial intelligence into his research to enhance healthcare systems and clinical outcomes.
[Track A] Quantitative & Data-Driven Methods in Nursing Research — Navigating Opportunities and Challenges in the AI Era
James Lim
James Lim is a PhD candidate and an early career researcher at the University of Sydney. His doctoral research explores the intersection of artificial intelligence (AI), nutrition, and equitable digital health, with a focus on how Filipino adults use AI chatbots for nutrition and weight management support. Drawing on his clinical background and lived experiences working alongside and within Filipino communities in Australia, he has observed an increasing reliance on digital and AI health information, highlighting the need for culturally responsive and equitable approaches across research and healthcare settings.
Chen-I Lee (Sherry)
Chen-I Lee is a Ph.D. student majoring in Nursing at Taipei Medical University in Taiwan. Her research primarily focuses on ICU delirium. Currently, she is working on developing machine learning-based clinical decision support models to predict delirium incidence, aiming to guide and assist clinical staff in implementing preventive interventions.
Minji Kang
Minji Kang is a PhD student in Seoul National University with research interests in health equity, disability health, aging, digital health interventions, and community-based care. She is particularly interested in social and healthcare access disparities among vulnerable populations, including older adults and people with disabilities in Korea. Her current research interests include subjective and objective social isolation, as well as the relationship between disability onset and social isolation in later life among older people with disabilities. She aims to contribute to the development of more inclusive, responsive, and equitable community health systems for diverse and underserved populations.
Yujin Park
Yujin Park is a Ph.D. candidate at the College of Nursing, Seoul National University. Her research focuses on digital health, artificial intelligence in healthcare, chronic disease self-management, and healthy aging. She is particularly interested in developing and evaluating AI-based interventions that support self-management and improve health outcomes among older adults. Her doctoral research examines the development and effectiveness of an artificial intelligence telephone intervention for diabetes self-management in older adults.
Jeongin Choe
Jeongin Choe is a Ph.D. candidate in Community Health Nursing at Seoul National University College of Nursing in South Korea. Her doctoral research examines nurses' behavioral intention to use generative AI in clinical practice, drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Perceived Risk Theory. Her broader research interests span nursing informatics and the application of large language models and text-mining methods to patient safety and quality improvement, with a focus on translating clinical data into evidence for safer care.
Huijing Xu
Huijing Xu is a Ph.D. student specializing in Nursing Informatics at Seoul National University. Her research focuses on the application of large language models in oncology care and patient support, with the aim of examining their potential to improve cancer patients’ illness experiences and enhance nursing workflow efficiency.
Arina Qona'ah
Arina Qona’ah, S.Kep., Ns., M.Kep is a lecturer and nursing researcher at Universitas Airlangga, Faculty of Nursing. She completed her bachelor’s degree, professional nursing education, and master’s degree in Nursing at Universitas Brawijaya. Her academic and professional career has focused on medical-surgical nursing, diabetes management, psychological well-being, and critical care. Currently, she is a student in the Doctoral Nursing Program at the Faculty of Nursing, Universitas Airlangga. She is Head of the Research Division of HIPGABI East Java. Her research emphasizes diabetes self-management, mindfulness-based interventions, cardiovascular risk, and community health empowerment. She has led and contributed to numerous nationally funded research and community service projects and has published extensively in national and international scientific journals.
Anita Hasan
Ms. Anita Hasan is a PhD candidate at Universiti Malaya, Malaysia, and a nurse educator with experience in nursing education and clinical practice. Her doctoral research focuses on gerontological nursing education, specifically the development and evaluation of the Building Age-friendly Communication Skills (BACs) Module to enhance nursing students’ communication skills and attitudes toward older people. Her research interests include older people care, age-friendly communication, gerontological nursing education, reflective learning, and multimodal experiential learning.
[Track B] Qualitative & Mixed Methods in Nursing Research — Sustaining Rigor and Human-Centeredness in a Changing Research Landscape
Ying-Tzu Tseng
Ying-Tzu Tseng is a Ph.D. student at National Taiwan University in Taiwan. Her research focuses on perinatal mental health, particularly anxiety, depression, and psychological well-being among pregnant and postpartum women. She is currently developing and evaluating a virtual reality–enhanced mindfulness intervention to improve mental health outcomes during the perinatal period.
Melissa Heufel
Melissa Heufel is an End of Life Care Clinical Nurse Consultant, Emergency Nurse, and PhD candidate at the University of Sydney, Australia. Her research explores how to better integrate end-of-life care into fast-paced emergency department settings, identifying key gaps, barriers and opportunities to improve patient and family-centred outcomes.
Beata Gidaszewski
Beata Gidaszewski is a midwife and Ph.D. candidate at the School of Medicine, the University of Sydney in Australia. Drawing on prior experience in a research-focused role, she has authored more than 25 peer-reviewed publications. Her doctoral research examines perineal care and women's experiences of care after perineal trauma, with a focus on how clinicians' reasoning and models of care shape practice and birth experiences.
Myrian Fan
Myrian Fan is a Ph.D. candidate at The Nethersole School of Nursing, The Chinese University of Hong Kong. Her research focus on the development and evaluation of nurse-led community-based sailing programme designed to enhance resilience and mental health outcomes among autistic children. Her nursing leadership is demonstrated through interdisciplinary collaboration, cross-sector community partnership establishment, and securing funding to support study’s economic feasibility. Her work integrates autism research, community health innovation, and nature-based interventions. She has contributed to systematic reviews and meta-analyses published in international peer-reviewed journals and has presented her research at major international conferences.
Meiling Han
Meiling Han is a Ph.D. student majoring in Nursing at Chiang Mai University in Thailand. She is interested in dementia family health care and qualitative research. Her research focuses on developing theory of empathy among family caregivers of persons with dementia.
Mijeong Park
Mijeong Park, RN, has worked in the Neonatal Intensive Care Unit at Asan Medical Center since 2018. She completed her doctoral coursework in Child Nursing at Seoul National University, completed the End-of-Life Nursing Education Consortium (ELNEC) Train-the-Trainer Program, and completed a short-term observational training program at the National Center for Child Health and Development (NCCHD) in Tokyo, Japan. Her research interests include neonatal intensive care nursing, end-of-life care, family-centered care, nursing professionalism, and nursing education. Her first published study explored NICU nurses’ end-of-life care experiences and the development of professional empathy, offering insights into the emotional and professional growth of nurses caring for critically ill infants. She is currently interested in advancing evidence-based neonatal nursing practice through research, education, and quality improvement.
[Track C] Evidence Synthesis & Implementation Research in Nursing — Building Trustworthy Evidence and Closing the Research-Practice Gap
Nhi Thi Vo
Nhi Thi Vo is a PhD candidate at the Nethersole School of Nursing, The Chinese University of Hong Kong. Her research interests include chronic disease management for adults in primary care settings. Her current research focuses on the development and evaluation of self-management support interventions for people with hypertension and limited health literacy.
Elsie Mari
Elsie is a Nurse Practitioner working in a hospital avoidance service for older adults. She is a Casual Academic and PhD candidate with a clinical and research focus on gerontological nursing. Her interests include chronic disease management, palliative care, and dementia care, with a strong commitment to improving outcomes for ageing populations.
Yoonsoo Eo
Yoonsoo Eo is a PhD Candidate at the University of Wisconsin–Madison School of Nursing. Her research focuses on understanding symptom experiences and promoting recovery among patients discharged from the intensive care unit (ICU). Supported by a Sigma Theta Tau International small grant, her dissertation work aims to characterize multidimensional post-ICU symptom experiences and identify associated factors, with the long-term goal of informing symptom self-management interventions for ICU survivors.
Sidik Maulana
Sidik Maulana is a Ph.D. candidate in Nursing at Universitas Padjadjaran, Indonesia. His research focuses on the prevention and control of infectious diseases, care for people with immunological diseases, and evidence synthesis, including systematic reviews and meta-analyses. His work explores the epidemiology of infectious diseases and strategies to improve access to care, clinical outcomes, and quality of life. His current research interests also include digital health interventions to enhance linkage to care for people living with HIV and the application of geographic information systems (GIS) to strengthen HIV-related public health programs.
Nicholas Neo
Nicholas Neo is a PhD student at the Alice Lee Centre for Nursing Studies, National University of Singapore. His research interests include nursing education and implementation science, with an emphasis on understanding how human and artificial intelligence may be synergistically integrated. He is currently exploring AI applications in simulation-based learning.
Mayu Sakamoto
Mayu Sakamoto is a doctoral student in Psychiatric Nursing at Shiga University of Medical Science, Japan. Her research interests focus on the difficulties nurses experience in supporting patients within nurse–patient relationships. She is currently presenting findings from a study exploring users’ experiences of an AI-enabled application designed to promote self-help and mutual support.
Ida Ayu Agung Laksmi
Ida Ayu Agung Laksmi is a nursing lecturer and researcher at STIKES Bina Usada Bali, with expertise in emergency nursing, critical care, disaster nursing, and transitional care for patients with heart failure. Experienced in developing e-nursing applications, resuscitation simulations, and disaster-mitigation board games. Since 2025, she has been pursuing a Doctoral Program in Nursing at Universitas Airlangga, focusing on transitional care-based discharge planning.
Jingjing Wang
Jingjing Wang is a Master’s candidate at the School of Nursing and Rehabilitation, Shandong University, China. Her research interests include gerontological nursing and family resilience in middle-aged breast cancer patients. For her Master’s thesis, she is developing interventions to improve health outcomes and parenting competence for grandparents raising grandchildren.
