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Jo-Fan Pan

Jo-Fan Pan / Jo-Fan Pan

JobTitle: Assistant Professor

CurrentJob: Assistant Professor / Assistant Professor

E-mail: d000020907@cgu.edu.tw

Phone: 03-2118800 # 5737

Education: PhD in Nursing (2025) The University of Manchester, United Kingdom

Expertise: • Artificial Intelligence in Healthcare (English-taught) • Adult Nursing Practicum • Digital Health and Health Technology Usability • Epidemiology and Biostatistics

Education

PhD in Nursing  (2025)

The University of Manchester, United Kingdom

MSc in Advanced Nursing  (2020)

The University of Edinburgh, United Kingdom

BS in Nursing  (2017)

National Taiwan University, Taiwan

 

Research Interests

•       Smart healthcare and AI in health care

•       Clinical usability and human factors

•       Continuous monitoring and wearable devices

•       Adult and emergency nursing

•       Immersive simulation and nursing education

Current Research

•       Usability, implementation, and adoption of continuous monitoring and deterioration-alerting systems

•       Nurses’ experiences with clinical AI, workflow integration, and human-factors evaluation

•       Immersive simulation and generative AI in nursing education and health care

Professional Experience

Assistant Professor  (2026–present)

Department of Nursing, Chang Gung University, Taiwan

Graduate Teaching Assistant  (2021–2024)

The University of Manchester, United Kingdom

Registered Nurse  (2018–2019)

Emergency Department, National Taiwan University Hospital, Taiwan

Awards

Study Abroad Scholarship  (2021–2024)

Ministry of Education, Taiwan

Publications

Peer-Reviewed Journal Articles

1.     Pan, J.-F., Wong, D., Liao, K., & Dowding, D. (2026). Factors associated with the usability and adoption of continuous monitoring devices with deterioration alerting systems in acute hospital non-ICU settings: A mixed methods study. Journal of Nursing Management, 2026, 3056495. https://doi.org/10.1155/jonm/3056495

2.     Pan, J.-F., Dowding, D., Wong, D., Scott, A., & Zhao, Q. (2026). The usability of continuous monitoring devices with deterioration alerting systems in noncritical care units: Scoping review. Interactive Journal of Medical Research, 15, e75713. https://doi.org/10.2196/75713

3.     Scott, A. J. S., Zhao, Q., Pan, J.-F., Brown, B. C., & Dowding, D. (2026). Nurses’ experiences using AI in clinical practice: Systematic review. JMIR Nursing, 9, e91238. https://doi.org/10.2196/91238

4.     Shi, Y., Zhou, J.-X., Shi, J.-L., Pan, J.-F., Dai, J.-Y., & Gao, Q. (2023). Association between proactive personality and professional identity of nursing undergraduates: The mediating role of resilience and irrational belief. Nurse Education in Practice, 71, 103729. https://doi.org/10.1016/j.nepr.2023.103729

5.     Holloway, A., Chandler, C., Aviles Reinso, L., Clarissa, C., Putri, A., Choi, H., Pan, J.-F., Mitra, U., Hewitt, J., Cluckie, G., Smart, A., Noble, H., Harris, R., Reid, J., & Kelly, D. M. (2022). Young adults rehabilitation needs and experiences following stroke (YARNS): A review of digital accounts to inform the development of age-appropriate support and rehabilitation. Journal of Advanced Nursing, 78(3), 869–882. https://doi.org/10.1111/jan.15076

Conference Presentations

1.     Pan, J.-F., Dowding, D., Wong, D., & Scott, A. (2023, September 6–8). Continuous monitoring system and early warning of deterioration in non-critical adult care unit: A scoping review [Oral presentation]. RCN International Nursing Research Conference, Belfast, United Kingdom.

2.     Pan, J.-F., & O’Connor, S. (2020, November 2–4). Using machine learning to conduct Emergency Severity Index triage in the emergency department: A review of the literature [Conference presentation]. 2020 Taiwan International Nursing Conference, Taipei, Taiwan.