Sian Hsiang‐Te Tsuei

Patient-facing artificial intelligence in primary health care: a scoping review of literature through early 2025

Alireza Habibi, Kathleen McMahon, Sian Hsiang‐Te Tsuei, Jacqueline Kueper

Abstract Background Patient-facing artificial intelligence (AI) tools are increasingly accessible to the public, but evidence on their development and impact in primary health care (PHC) remains limited. This study aimed to map the literature on patient-facing AI tools in PHC, including study …

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Understanding primary care physicians’ perceptions of large language model adoption in clinical practice: A qualitative research protocol leveraging the technology adoption behavior framework

Benny Pokharel, Monica Hsu, Lindsay Hedden, Laura Nimmon et autres

INTRODUCTION: Large language models' (LLMs') rapid evolution and intersection with diverse groups and institutions require up-to-date policies, practices, and behaviors to ensure safe and effective implementation. Because physicians play a central role in care provision and face the dual mandate of embracing …

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AI-Supported Collaboration in Team-Based Primary Healthcare: A Rapid Scoping Review Protocol

Samir Damji, Kevin Wang, Md Tawkat Islam Khondaker, Teo A. W. Quay et autres

This protocol describes a rapid scoping review examining what is known about AI tools used to support collaboration in team-based primary healthcare delivery, and which collaborative team functions they target (e.g., workflow coordination, communication, shared decision-making, handoffs, task delegation, role clarity, and …

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Medical AI: Promises and Perils at a Critical Moment

Sian Hsiang‐Te Tsuei

SynopsisMedicine is entering a new era—one where artificial intelligence (AI) tools can interact directly with patients and outperform doctors on several clinical tasks. As AI capabilities and adoption advance with remarkable speed, we are running out of time to meaningfully influence how …

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Medical AI: Promises and Perils at a Critical Moment

Sian Hsiang‐Te Tsuei

SynopsisMedicine is entering a new era—one where artificial intelligence (AI) tools can interact directly with patients and outperform doctors on several clinical tasks. As AI capabilities and adoption advance with remarkable speed, we are running out of time to meaningfully influence how …

ca, us (code pays fourni par la source)

AI Competency: Current State and Challenges

Sian Hsiang‐Te Tsuei

Unlabelled: As artificial intelligence (AI) develops, the medical education community has begun defining the relevant forms of competency. Many experts emphasize the importance of optimizing AI tools' output or understanding the relevant technical and normative considerations around using AI tools. A recent …

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Unlocking the Full Potential of Health Care Teams: How Artificial Intelligence Can Help

Monica Hsu, Benny Pokharel, Jacqueline Kathleen Kueper, Michaela June Kerrissey et autres

Unlabelled: Developing effective health care teams is critical to meet the rising complexity in patient care. However, optimizing team composition, interpersonal dynamics, and care processes in complex health care systems requires processing vast amounts of data that capture fluid interactions among professionals-a …

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Cultivating adaptive expertise in critical care: reimagining intensive care unit education in the era of Artificial Intelligence

Minnie Y. Teng, Sian Hsiang‐Te Tsuei, Maya E Koblanski, Leo Anthony Celi

FROM PREDICTION TO PARTICIPATION: INTENSIVE CARE UNIT TEAM-PATIENT-ARTIFICIAL INTELLIGENCE INTERACTIONS In the modern intensive care unit (ICU), clinicians meet patients through layers of data and documentation. Artificial Intelligence (AI) is embedded into ICU workflows to predict outcomes, summarize charts, draft handoffs, and …

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The impact of virtual care on antibiotic prescribing practices for Urinary Tract Infections (UTIs): a propensity-score matched cohort study

Maryann Rogers, Lucy Cheng, Lindsay Hedden, Kimberlyn Marie McGrail et autres

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AI Literacy Among Chinese Medical Students: Cross-Sectional Examination of Individual and Environmental Factors

Sian Hsiang‐Te Tsuei, Hongbin Wu

Background: Artificial intelligence (AI) literacy is increasingly essential for medical students. However, without systematic characterization of the relevant components, designing targeted medical education interventions may be challenging. Objective: This study aimed to systematically describe the levels of and factors associated with multidimensional …

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Health and economic effects of increased taxation on tobacco, alcohol, and sugar-sweetened beverages in China: a modelling study

Tiange Chen, Jinyi Zhu, Sian Hsiang‐Te Tsuei, Yunyun Jiang et autres

BACKGROUND: China faces substantial burdens from tobacco, alcohol, and sugar-sweetened beverage (SSB) consumption, yet tax increases on these products have been stagnant. Existing evidence on the health, economic, and fiscal effects of such taxes in China is limited, which hinders tax reforms …

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How do medical and social contexts affect telemedicine efficiency and quality? A propensity-score matching protocol in Canada’s primary care

Sian Hsiang‐Te Tsuei, Kimberlyn Marie McGrail, Michael R. Law, Andrea Stucchi et autres

INTRODUCTION: Telemedicine use has risen significantly since the COVID-19 pandemic. Evidence suggests that the quality of care in telemedicine could be as good as in-person care, but this is likely context-dependent. Expert guidelines have declared the appropriate medical conditions, but often without …

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