Taipei Medical University

Cognitive Behavior and Health Promotion Laboratory

Min-Huey Chung
https://hub.tmu.edu.tw/en/persons/min-huey-chung

Research Field

Medicine

Introduction

Dr. Min-Huey Chung is a distinguished nursing leader and researcher with extensive expertise in nursing, public health, and mental health care. Currently serving as the Director of the School of Nursing at Taipei Medical University (TMU), she has significantly influenced the academic community at TMU, holding key leadership roles such as Vice Dean of the College of Nursing. With a Ph.D. in Nursing from Tzu Chi University and advanced degrees in Public Health and Nursing, Dr. Chung is dedicated to advancing nursing education, research, and healthcare services.

Her research spans a variety of critical areas, including mental health, sleep disorders, and the integration of artificial intelligence and innovative technologies in healthcare. As the principal investigator of several funded projects, Dr. Chung has developed algorithms and models that aim to improve patient care, particularly in the fields of sleep quality, chronic disease management, and mental health. She has also made substantial contributions to the psychometric validation of scales and the evaluation of health interventions such as yoga and cognitive-behavioral therapy.

Dr. Chung has published extensively in high-impact journals, with numerous studies in SCI and SSCI-indexed journals, and has demonstrated leadership in advancing clinical decision support systems and applying machine learning to medical documentation. Her research has also explored the psychosocial impacts of chronic diseases, acculturation, and stigma, influencing both patient care and healthcare practices.

A renowned member of several nursing organizations, Dr. Chung holds leadership positions within Sigma Theta Tau International and was named a Fellow of the American Academy of Nursing (FAAN) in 2022. Her career is characterized by her ongoing commitment to advancing nursing practice and improving healthcare outcomes through collaborative and interdisciplinary research.

The Evidence-based Translational Research Team (EBTRT) at the Cognitive Behavior and Health Promotion Lab, founded in 2022, is dedicated to advancing evidence-based practices in healthcare, particularly in mental health, psychiatric nursing, sleep disorders, behavioral therapy, and psychopathology. The team aims to bridge the gap between scientific research and clinical application, improving patient outcomes and enhancing mental health services.

Key areas of research include developing new treatment approaches for psychiatric conditions, improving care for high-risk populations, and addressing sleep disorders such as insomnia and sleep apnea. The team also investigates the use of behavioral therapies, such as cognitive-behavioral therapy (CBT) and Acceptance and Commitment Therapy (ACT), to treat mental health conditions like depression and anxiety. Additionally, the EBTRT explores the biological, psychological, and social factors contributing to psychiatric disorders, such as depression and schizophrenia.

The team employs rigorous research methodologies, including systematic reviews, meta-analyses, clinical trials, and large-scale data analysis, to evaluate the effectiveness of various interventions. Their work aims to directly inform clinical practice, ensuring that healthcare providers use the latest evidence-based strategies in treating mental health disorders.

Overall, the EBTRT is making significant contributions to the understanding and treatment of mental health conditions by translating research findings into real-world applications, ultimately improving healthcare outcomes for patients.


Research Topics
  1. 2022~2025. Principal Investigator - Effects of musical elements-based artificial intelligence music on improving heart rate variability, brainwave and sleep in insomniacs; Ministry of Science and Technology.
  2. 2022~2025. Principal Investigator -  Effects of chronotherapy-based natural rhythmic lighting on improving sleep phase, emotions and brainwave of elderly with insomnia; Ministry of Science and Technology.
  3. 2024-2025. Principal Investigator - Assessing mental symptoms and emotions of clinical patients using ChatGPT to improve clinical interviewing skills in nursing students. Ministry of Education Teaching Practice Research Program
  4. 2024~2024.  Principal Investigator - Establish sleep quality index and its application in patients with sleep apnea: a study using Artificial Intelligence;  University System of Taipei Joint Research Program.
  5. 2024~2024.  Principal Investigator - Daytime Care Service Quality Incentive Measures Research Project; National Health Research Institutes.
  6. 2023~2024 Principal Investigator - Development of a Rapid Home-based Insomnia Detection System Based on Internet of Things and Artificial Intelligence; TMU SPARK.
  7. 2023~2023 Principal Investigator - The Development and Validation of a Prediction Algorithm for First-Onset and Recurrence of Major Depression in General Population: A Genetic, Epigenetic and Drug Repurposing Approach; Higher Education Sprout Project; Ministry of Education.

Honor
  • Fellows of the American Academy of Nursing, America (2022)
  • Excellent Teacher Award, Taipei Medical University, Taiwan (2021, 2020)
  • The Award of Annual Research and Development Results, Improving the Quality of Care Services, Republic of China Mental Health Care Society, Taiwan (2019)
  • Nursing Excellence Award - Special Contribution, New Taipei City, Taiwan (2018)
  • Senior Nurse Award, Ministry of Health and Welfare, Taiwan (2017)
  • Outstanding Nursing Award, Taipei City, Taiwan (2017)

Educational Background
  • 2003-2007, PhD in Nursing, Institute of Medical Sciences, Tzu-Chi University, Taipei, Taiwan
  • 1994-1996, Master in Public Health, School of Public Health, National Defense Medical Center, Taipei, Taiwan
  • 1986-1990, Bachelor in Nursing, School of Nursing,  National Defense Medical Center, Taipei, Taiwan