Xin Xiaohui
Biographic Data
| ID | 7720937 |
|---|---|
| NAME | Xin Xiaohui |
| GIVEN NAMES | Xin |
| FAMILY NAME | Xiaohui |
| SIGNATURE | XIAOHUI X |
| AFFILIATIONS | Health Services Research Unit, Singapore General Hospital, Singapore, Singapore |
| ORCID | 0000-0001-9942-7300 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
From principle to practice: Developing a digital‐age clinical artificial intelligence ethics competence framework through early‐career doctors' experiences
INTRODUCTION: As artificial intelligence (AI) becomes increasingly embedded in clinical workflows, clinicians encounter ethical challenges that traditional, principle-based medical ethics education may not adequately address. Empirical evidence on clinicians' experiences with AI-related ethics is limited, constraining curricular improvement. This qualitative study explores how early-career doctors in Singapore perceive and negotiate ethical dilem…
Digital competencies for Singapore’s national medical school curriculum: A qualitative study
Studies have shown that national-level initiatives to equip medical students with relevant digital competencies carry many benefits. Yet, few countries have outlined such competencies for clinical practice in the core medical school curriculum. This paper identifies current training gaps at the national level in digital competencies needed by students in the formal curricula of all three medical schools in Singapore from the perspectives of clini…
Public Discourse Surrounding Suicide during the Covid-19 Pandemic: An Unsupervised Machine Learning Analysis of Twitter Posts over a One-Year Period
Many studies have forewarned the profound emotional and psychosocial impact of the protracted COVID-19 pandemic. This study thus aimed to examine how individuals relate to suicide amid the COVID-19 pandemic from a global perspective via the public Twitter discourse around suicide and COVID-19. Original Twitter tweets from 1 February 2020 to 10 February 2021 were searched, with terms related to "COVID-19", "suicide", or "self-harm". An unsupervise…
No prominent works on this page.
Public Discourse Surrounding Suicide during the Covid-19 Pandemic: An Unsupervised Machine Learning Analysis of Twitter Posts over a One-Year Period
Many studies have forewarned the profound emotional and psychosocial impact of the protracted COVID-19 pandemic. This study thus aimed to examine how individuals relate to suicide amid the COVID-19 pandemic from a global perspective via the public Twitter discourse around suicide and COVID-19. Original Twitter tweets from 1 February 2020 to 10 February 2021 were searched, with terms related to "COVID-19", "suicide", or "self-harm". An unsupervise…
Digital competencies for Singapore’s national medical school curriculum: A qualitative study
Studies have shown that national-level initiatives to equip medical students with relevant digital competencies carry many benefits. Yet, few countries have outlined such competencies for clinical practice in the core medical school curriculum. This paper identifies current training gaps at the national level in digital competencies needed by students in the formal curricula of all three medical schools in Singapore from the perspectives of clini…
From principle to practice: Developing a digital‐age clinical artificial intelligence ethics competence framework through early‐career doctors' experiences
INTRODUCTION: As artificial intelligence (AI) becomes increasingly embedded in clinical workflows, clinicians encounter ethical challenges that traditional, principle-based medical ethics education may not adequately address. Empirical evidence on clinicians' experiences with AI-related ethics is limited, constraining curricular improvement. This qualitative study explores how early-career doctors in Singapore perceive and negotiate ethical dilem…
Curriculum (2 works) · Medicine (2 works) · Psychology (2 works) · Qualitative research (2 works) · Sociology (2 works) · Thematic analysis (2 works) · Accountability (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Biomedical and Engineering Education (1 works) · Biopsychosocial model (1 works)