Office: 16/F, School of Nursing, Ma Kam Chan Memorial Building, 31 Wylie Road, Homantin, Kowloon, Hong Kong

Telephone: (852) 3859 8979

Email: [email protected]

 

 

 

 

 

 

 

 

 

Prof. Julia XIAO is currently the professor of the School of Nursing at Tung Wah College. She has over 20 years of experience as an academic in tertiary institutions. Her research focuses on nursing informatics, especially intelligent rehabilitation nursing, and digital transformation in nursing education. She has led 19 national or municipal-level projects. Some of the research projects are funded by the National Natural Science Foundation of China (NSFC), National Key Research and Development Foundation of the Ministry of Science and Technology, the Innovation Fund of the Ministry of Education, and so on. She published more than 200 articles and served as an editorial board member or reviewer of national and international journals. She is frequently invited to different national and international conferences as a speaker to share her research findings. She has more than 20 national patents or software Copyrights and has received numerous national or municipal academic awards. In addition, she has rich teaching experience in both undergraduate and graduate education, and she has received more than 10 teaching awards over the past years. She was awarded Municipal Outstanding Young Teacher in 2021.

 

Prof. QIAO was elected a Fellow of the American Academy of Nursing (FAAN) in 2023, Non-Local Fellow of the Hong Kong Academy of Nursing and Midwifery, and Member of Sigma Theta Tau International Honour Society of Nursing in 2024, and Fellow of the Australian Institute of Digital Health in 2025.

 

BN, MSN, PhD, RN, FAAN, FHKANM, FAIDH

 

ORCID ID: 0000-0002-5657-2863

Web of Science Researcher ID: QIU-6534-2026

Google Scholar: Qian Xiao

 

PhD, School of Nursing, China Medical University, China

MSN, School of Nursing, Peking University, China

BN, School of Nursing, Peking University, China

Visiting Scholar, School of Nursing, University of Pittsburgh, USA

Visiting Scholar, School of Nursing, The Hong Kong Polytechnic University, Hong Kong

 

Fellow of the Australian Institute of Digital Health (FAIDH) (2025-Present)

Third prize of Science and Technology Award of CNA (2025)

Non-Local Fellow of the Hong Kong Academy of Nursing and Midwifery, Education and Research - Education (FHKANM) (2024-Present)

Excellent innovation and entrepreneurship mentor, China International College Student Innovation Competition (2024)

First Prize, China International College Innovation Competition (2024)

Second Prize, the 7th China Medical Device Innovation and Entrepreneurship Competition (2024)

Fellow of American Academy of Nursing (FAAN) (2023-Present)

Municipal high quality undergraduate teaching plan award (2023)

Outstanding Nursing Science and Technology Projects, Cross-Straits Medicine Exchange Association (2022)

First prize of Education and Teaching Achievement Award of CMU (2022)

Excellence Award, the first Medical Virtual Simulation Experiment Innovation Competition (2022)

Municipal Outstanding Young Teacher (2021)

Outstanding Nursing Science and Technology Projects, Cross-Straits Medicine Exchange Association (2021)

Third prize, the 11th university-level excellent teaching material public publication (2021)

Excellence Award, "Yihui Cup" National wisdom nursing excellent case selection (2020)

Excellent Teaching Award, CMU (2019)

National VR Creative Innovation Entrepreneurship Competition Teacher Group Silver Award (2019)

 

Nursing Research

Artificial intelligence in healthcare

Evidence-based Nursing

 

Nursing informatics (intelligent rehabilitation nursing and digital transformation in nursing education)

 

Model construction and time-course effect verification of pulmonary aspiration risk hierarchical management for the elderly guided by the collective intelligence interconnection framework. Funded by the National Natural Science Foundation of China, 2022-2025, PI.

Research on the theoretical framework of "AI digital human" mapping the intrinsic function of the elderly. Funded by a sub-project of project 1, National Key Research and Development Project of the Ministry of Science and Technology, 2023-2026, PI.

Research on the design scheme of critical care robot system based on multi-mode interaction. Funded by the project of cooperative units of National Key Research and Development Project, 2023-2024, PI.

Advanced training project on improving the digital-intelligent competency of medical staff. Funded by the Bureau of Municipal Human Resources and Social Security, 2024, PI.

Construction and clinical evaluation of an intelligent swallowing training system based on virtual reality and wearable sensors. Funded by International cooperation program of Ministry of Education, 2023-2025, PI.

Practical conditions construction of digital and intelligent nursing based on the online platform "Rain Class". Funded by the collaborative education program of the Ministry of Education, 2024, PI.

Innovative research on digital ability improvement of medical teachers. Funded by Academic-industry cooperation program of Ministry of Education, 2023-2024, PI.

Construction and clinical evaluation of intelligent health education system based on multimodal large Language model: a case study of pulmonary aspiration in the elderly. Funded by the digital intelligence integration project of CMU, 2023-2025, PI.

Construction of an intelligent training platform for Maternal and Pediatric nursing. Funded by the collaborative education program of the Ministry of Education, 2022-2023, PI.

Research on acceptability and effect of virtual reality-based intelligent swallowing function training mode in stroke patients. Funded by the CNA, 2021-2022, PI.

Internet + nursing service quality evaluation and improvement strategy research. Funded by Municipal Social Science, 2019-2022, PI.

 

Niu, Y., Xuan, Z., Wang, Y., Zhang, X., Guo, Y., Li, X., Jin, S., Zhao, J., Xiao, Q. *, & Chang, H. (2026). Development of the windmill model for mapping older adults' intrinsic capacity using digital twin technology: Descriptive qualitative study. JMIR Aging, 9, e81075. https://doi.org/10.2196/81075

Xuan, Z., Niu, Y., Kang, R., Xiao, Q., Jin, S., Zhao, J., Wang, Y., & Chang, H. (2026). Developing customized personas to capture intrinsic capacity profiles and digital monitoring intentions in older adults: Mixed methods study. JMIR Aging, 9, e82867. https://doi.org/10.2196/82867

Niu, Y., Jin, S., Wang, Y., & Xiao, Q. * (2026). Application of three-dimensional printed food for patients with dysphagia: A scoping review. European Archives of Oto-Rhino-Laryngology, 283(3), 1363–1377. https://doi.org/10.1007/s00405-025-09705-1

Liu, B., Chen, X., Yang, R., Zhang, M., & Xiao, Q. (2026). User-centered demand analysis for a virtual reality pelvic floor rehabilitation system: Cross-sectional study using the Kano model. Healthcare, 14(11), 1571. https://doi.org/10.3390/healthcare14111571

Fu, S., Wang, Y., Kang, R., Tong, L., Jin, S., Li, C., Xiao, Q. *, & Zhang, Y. (2025). Barriers and improvements of respiratory aspiration risk management in older patients from multiple perspectives: A qualitative study. Age and Ageing, 54(9), afaf256. https://doi.org/10.1093/ageing/afaf256

Kang, R., Xuan, Z., Tong, L., Wang, Y., Jin, S., & Xiao, Q. * (2025). Nurse researchers’ experiences and perceptions of generative AI: Qualitative semi-structured interview study. Journal of Medical Internet Research, 27, e65523. https://doi.org/10.2196/65523

Ren, Z., Tong, L., Fu, S., Jin, S., Wang, Y., & Xiao, Q. * (2025). Nurses’ experiences of providing dysphagia services through the internet+ nursing service care model: Qualitative study. Journal of Medical Internet Research, 27, e67572. https://doi.org/10.2196/67572

Xuan, Z., Niu, Y., Wang, Y., Wang, Z., Zhao, J., Chang, H. *, & Xiao, Q. * (2025). Perspectives and preferences on developing a digital human system for intrinsic capacity monitoring underpinned by World Health Organization’s integrated care for older people guideline: Qualitative study. Journal of Medical Internet Research, 27, e76222. https://doi.org/10.2196/76222

Zhang, B., Wong, K. P., Liu, M., Hui, V., Guo, C., Liu, Z., Liu, Y. *, Xiao, Q. *, & Qin, J. (2025). Effect of artificial intelligence-based video-game system on dysphagia in patients with stroke: A randomized controlled trial. Clinical Nutrition, 45, 81–90. https://doi.org/10.1016/j.clnu.2024.12.022

Niu, Y., Fu, S., Xuan, Z., Kang, R., Ren, Z., Jin, S., Wang, Y. *, & Xiao, Q. * (2025). To take a different approach: Can large language models provide knowledge related to respiratory aspiration? Digital Health, 11, 20552076251349616. https://doi.org/10.1177/20552076251349616

Fu, S., Niu, Y., Kang, R., Tong, L., Wang, Y., Xiao, Q. *, & Xie, Z. * (2025). Application of handheld augmented reality in nursing education: A scoping review. Nurse Educator, 50(4), 185-192. https://doi.org/10.1097/NNE.0000000000001831

Li, L., Wang, Z., Wang, C., Wang, Y., & Xiao, Q. * (2025). A network meta-analysis of the effects of different rehabilitation intervention strategies on executive function in children and adolescents. European Journal of Pediatrics, 184(10), 637. https://doi.org/10.1007/s00431-025-06372-6

Kang, R., Zhang, B., Fu, S., Tong, L., Wang, Y., Jin, S., & Xiao, Q. * (2025). Application of head-mounted display-based augmented and mixed reality in nursing education: A scoping review. BMC Nursing, 24(1), 1150. https://doi.org/10.1186/s12912-025-03413-1

Tong, L., Niu, Y., Xuan, Z., Jin, S., Wang, Y., & Xiao, Q. * (2025). Nursing students' experiences of digital learning in Chinese higher education institutions: A descriptive qualitative study. Nurse Education Today, 144, 106454. https://doi.org/10.1016/j.nedt.2024.106454

Tong, L., Niu, Y., Zhou, L., Jin, S., Wang, Y., & Xiao, Q. * (2025). Perceptions and experiences of generative artificial intelligence training to support research for Chinese nurses: A qualitative focus group study. International Journal of Nursing Sciences, 12(3), 210–217. https://doi.org/10.1016/j.ijnss.2025.04.010

Wang, J., Shi, C., Jia, Y., & Xiao, Q. * (2025). Effectiveness of virtual reality assisted active limb movement exercises for patients in the respiratory intensive care unit: A randomized pilot study. Journal of Rehabilitation Medicine, 57, jrm28399. https://doi.org/10.2340/jrm.v57.28399

Zhang, B., Wong, K. P., Liu, M., Hui, V., Guo, C., Liu, Y., Liu, Z., Liu, Y.*, Xiao, Q.*, & Qin, J. (2025). Face recognition-driven video game for dysphagia rehabilitation in stroke patients: A pilot randomized controlled trial. Archives of Physical Medicine and Rehabilitation, 106(3), 342–350. https://doi.org/10.1016/j.apmr.2024.10.005

Zhou, L., Zhang, B., Kang, R., Wang, Y., Qin, J., Xiao, Q. *, & Hui, V. * (2025). Efficacy of the conventional rehabilitation robot and bio-signal feedback-based rehabilitation robot on upper-limb function in patients with stroke: A systematic review and network meta-analysis. NeuroRehabilitation, 57(2), 169–180. https://doi.org/10.1177/10538135251366668

Wang, J., Shi, C., Xiao, Q. *, & Jia, Y. * (2024). ICU nurses' practice and intention to implement early mobilization: A multi-centre cross-sectional survey. Nursing in Critical Care, 29(5), 1067–1077. https://doi.org/10.1111/nicc.13100

Zhang, R., Sun, W., Xing, Y., Wang, Y., Li, Z., Liu, L., Gu, H., Yang, K., Yang, X., Wang, C., Liu, Q., Xiao, Q. *, & Cai, W. * (2024). Implementation of early prophylaxis for deep-vein thrombosis in intracerebral hemorrhage patients: An observational study from the Chinese Stroke Center Alliance. Thrombosis Journal, 22(1), 22. https://doi.org/10.1186/s12959-024-00592-w

Zhang, B., Ding, P., Hui, V., Wong, K. P., Liu, Y. *, Liu, Z., Xiao, Q. *, & Qin, J. (2024). Technology acceptance of the video game-based swallowing function training system among healthcare providers and dysphagia patients: A qualitative study. Digital Health, 10, 20552076241284830. https://doi.org/10.1177/20552076241284830

Xuan, Z., Fu, S., Kang, R., Wang, Y., & Xiao, Q. * (2024). ChatGPT research in healthcare is increasing dramatically: A bibliometric analysis based on VOSviewer. Studies in Health Technology and Informatics, 315, 719–720. https://doi.org/10.3233/SHTI240296

Ren, Z., Tong, L., Jin, S., Wang, Y., & Xiao, Q. * (2024). Nurses' experiences of internet + nursing service based on service quality: A qualitative study. Studies in Health Technology and Informatics, 315, 695–696. https://doi.org/10.3233/SHTI240284

Gao, X., Tong, L., Fu, S., Wang, Y., & Xiao, Q. * (2024). Development of an online training system on pulmonary aspiration for clinical nurses. Studies in Health Technology and Informatics, 315, 635–636. https://doi.org/10.3233/SHTI240253

Kang, R., Fu, S., Jin, S., Wang, Y., & Xiao, Q. * (2024). Development of an intelligent health education system based on large language model for elderly pulmonary aspiration prevention. Studies in Health Technology and Informatics, 315, 228–230. https://doi.org/10.3233/SHTI240141

Fu, S., Kang, R., Xuan, Z., Wang, Y., & Xiao, Q. * (2024). Development of an intelligent risk hierarchical management system on pulmonary aspiration for the elderly. Studies in Health Technology and Informatics, 315, 43–46. https://doi.org/10.3233/SHTI240103

Zhang, B., Wong, K. P., Guo, C., Chen, S. C., Fu, S., Kang, R., Xiao, Q., & Qin, J. (2025). Effects of non-pharmacological interventions on the swallowing function of patients with post-stroke dysphagia: A systematic review and network meta-analysis. Journal of Oral Rehabilitation, 52(1), 109–120. https://doi.org/10.1111/joor.13901

Mao, W., Jiang, M., Chen, W., Du, J., & Xiao, Q. * (2023). The effect of using mobile phone applications for intelligent pelvic floor rehabilitation on elderly female patients with stress urinary incontinence. Technology and Health Care, 31(S1), 319–329. https://doi.org/10.3233/THC-220845

Zhang, B., Wong, K. P., Kang, R., Fu, S., Qin, J., & Xiao, Q. * (2023). Efficacy of robot-assisted and virtual reality interventions on balance, gait, and daily function in patients with stroke: A systematic review and network meta-analysis. Archives of Physical Medicine and Rehabilitation, 104(11), 1904–1915. https://doi.org/10.1016/j.apmr.2023.04.015

Zhang, W., Ma, X., Yu, S., Zhang, X., Mu, Y., Li, Y., Xiao, Q., & Ji, M. (2023). Occupational stress, respect, and the need for psychological counselling in Chinese nurses: A nationwide cross-sectional study. Public Health, 225, 72–78. https://doi.org/10.1016/j.puhe.2023.09.003

Li, D., Mathews, C., Zamarripa, C., Zhang, F., & Xiao, Q. (2022). Wound tissue segmentation by computerized image analysis of clinical pressure injury photographs: A pilot study. Journal of Wound Care, 31(8), 710–719. https://doi.org/10.12968/jowc.2022.31.8.710

Zhang, B., Guo, C., Hui, V., Wong, K. P., Liu, Y., Liu, Z., Xu, Y., Xiao, Q., Chen, S. C., & Qin, J. (2023). Evaluating the effectiveness of video-game based swallowing function training in patients with dysphagia: Study protocol for a randomized controlled trial. Trials, 24(1), 735. https://doi.org/10.1186/s13063-023-07738-7

 

Member of Sigma Theta Tau International Honor Society of Nursing (2024-present)

Vice President of the Nursing Committee, Cross-Straits Medicine Exchange Association (2024-present)

Vice President of the Rehabilitation Nursing Professional Committee, CNA (2023-present)

Vice President of the Nursing Informatics Committee, Nursing Association (2023-present)

Vice President of the Dysphagia Rehabilitation Committee, Association of Rehabilitation Medicine (2022-present)

Deputy-Secretary-General of the Nursing Committee, Chinese Medical Information and Big Data Association (2018-present)