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Leveraging Artificial Intelligence for Clinical Deterioration Training

30 January 2026

Amongst healthcare professionals, nurses typically have the most direct patient contact in hospital wards1—putting them in a prime position to spot subtle signs of clinical deterioration and prevent adverse outcomes. Professor Liaw Sok Ying, Head of Alice Lee Centre for Nursing Studies (NUS Nursin...

Research Highlights

Global prevalence of perioperative depressive symptoms among non-emergency surgical patients: An umbrella review of current evidence from systematic review and meta-analyses.

International journal of nursing studies, 172, 105213. https://doi.org/10.1016/j.ijnurstu.2025.105213

CHENG Ling Jie

Blending of virtual reality with high-fidelity simulation for interprofessional team training: A mixed methods study.

Nurse education today, 155, 106857. https://doi.org/10.1016/j.nedt.2025.106857

CHUA Wei Ling

The Effects of a Technology-Assisted Hybrid Cardiac Rehabilitation (TecHCR) Program for Adults With Coronary Heart Disease: A Randomized Controlled Trial.

Worldviews on evidence-based nursing, 22(6), e70092. https://doi.org/10.1111/wvn.70092

CHONG Mei Sin, Joanne

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Professor Liaw Sok Ying
Head
Alice Lee Centre for Nursing Studies

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