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An evaluation framework for clinical use of large language models in patient interaction tasks.
Nat Med
January 2025
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
The integration of large language models (LLMs) into clinical diagnostics has the potential to transform doctor-patient interactions. However, the readiness of these models for real-world clinical application remains inadequately tested. This paper introduces the Conversational Reasoning Assessment Framework for Testing in Medicine (CRAFT-MD) approach for evaluating clinical LLMs.
View Article and Find Full Text PDFDoctor-patient-family collaboration in community-based chronic disease management to enhance multidimensional value.
Patient Educ Couns
December 2024
Guangdong Medical University, Institute of Public Health and Wellness, No.1 Xincheng Avenue, Songshanhu District, Dongguan, Guangdong 523808, China; Guangdong Medical University, The Affiliated Dongguan Songshan Lake Central Hospital, No.1 Xianglong Road, Shilong Town, Dongguan, Guangdong 523808, China. Electronic address:
The United Nations Sustainable Development Goal (SDG 3) aims to strengthen healthcare systems, combat chronic and infectious diseases, and improve global health. However, chronic diseases pose significant public health challenges, straining healthcare resources and escalating economic burdens. In China, they affect 180 million people, account for over 90 % of the national disease burden, and are the leading cause of mortality.
View Article and Find Full Text PDFAgenda Setting in Outpatient Consultation of Older Adults With Long-COVID.
Health Expect
December 2024
School of Foreign Languages and Literature, Shandong University, Jinan, China.
Introduction: Agenda setting in doctor-patient interaction refers to the process when various agendas are presented and responded to. This study revealed how Long-COVID (LC) agenda items are managed by older adults and doctors during outpatient consultations.
Methods: Based on audio recordings, we adopted Conversation Analysis (CA) to unveil under what circumstances the patient or the doctor set the agenda and how they collaboratively work to develop an LC topic.
Turnover intention among healthcare workers in Shenzhen, China: the mediating effect of job satisfaction and work engagement.
BMC Health Serv Res
November 2024
National Clinical Research Center for Cardiovascular Diseases, Fuwai Shenzhen Hospital Chinese Academy of Medical Sciences, Shenzhen, Guangdong Province, China.
Background: To ensure workforce stability in China's healthcare system and maintain high-quality care, it is essential to comprehensively understand the interplay of factors contributing to turnover intention of healthcare workers. This study aims to examine the associations between potential factors and turnover intention in healthcare workers and explore the mediating effect of job satisfaction and work engagement in the association between them.
Methods: In this cross-sectional study, a random sample of 1060 healthcare workers working in 98 public medical institutions were recruited to rate their turnover intention in 2018 in Shenzhen, China.
Trends in the practice environment of Chinese healthcare professionals from 2008 to 2023: an age period cohort analysis.
Hum Resour Health
November 2024
School of Marxism School of Humanities and Social Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, #9 Dongdan, 3nd Alley, Beijing, 100730, China.
Background: Healthcare practice environment plays a vital role in evaluation and the development of health sector in China. However, there are few comprehensive reviews and studies focusing on its state and changing trends. This study aimed to examine the dynamic trends in Chinese healthcare professionals' perceptions of their practice environment from 2008 to 2023 using age period cohort (APC) analysis.
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