Clinician Well-Being-addressing global needs for improvements in the health care field: a joint opinion from the American College of Cardiology, American Heart Association, European Society of Cardiology, World Heart Federation

The effect of work-family conflict on employee well-being among physicians: the mediating role of job satisfaction and work engagement

BACKGROUND

Work-family conflict among physicians has many adverse consequences, like reduced work engagement and impaired well-being. However, relatively little research has been conducted on the impact of work-family conflict on specific pathways of physician well-being. The aim of this study was to determine the relationship between work-family conflict and employee well-being among physicians and to explore the mediating role of job satisfaction and work engagement in this relationship.

METHODS

Using data from a cross-sectional survey of 2,480 physicians in Jilin Province, China, partial least squares structural equation modeling (PLS-SEM) was applied in this study to examine the direct and indirect effects of work-family conflict on employee well-being and to assess the mediating roles of job satisfaction and work engagement therein.

RESULTS

The employee well-being score of physicians in Jilin Province was 5.16 ± 1.20. The univariate analysis results indicated significant disparities in employee well-being scores across different age groups, marital statuses, and professional titles. Work-family conflict was significantly negatively associated with employee well-being, while job satisfaction and work engagement were significantly positively associated with employee well-being. In addition, job satisfaction and work engagement were found to mediate the association between work-family conflict and employee well-being, and work engagement was considered to mediate the association between job satisfaction and employee well-being.

CONCLUSIONS

Our study confirms that work-family conflict negatively affects physicians' employee well-being. Moreover, our investigation revealed that the association between work-family conflict and employee well-being is influenced by both job satisfaction and work engagement and that work engagement plays a mediating role in the link between job satisfaction and employee well-being. Therefore, we propose that hospital administrators should rationally allocate organizational resources and develop manageable schedules to enhance physicians' employee well-being.

Cardiovascular care with digital twin technology in the era of generative artificial intelligence

Digital twins, which are in silico replications of an individual and its environment, have advanced clinical decision-making and prognostication in cardiovascular medicine. The technology enables personalized simulations of clinical scenarios, prediction of disease risk, and strategies for clinical trial augmentation. Current applications of cardiovascular digital twins have integrated multi-modal data into mechanistic and statistical models to build physiologically accurate cardiac replicas to enhance disease phenotyping, enrich diagnostic workflows, and optimize procedural planning. Digital twin technology is rapidly evolving in the setting of newly available data modalities and advances in generative artificial intelligence, enabling dynamic and comprehensive simulations unique to an individual. These twins fuse physiologic, environmental, and healthcare data into machine learning and generative models to build real-time patient predictions that can model interactions with the clinical environment to accelerate personalized patient care. This review summarizes digital twins in cardiovascular medicine and their potential future applications by incorporating new personalized data modalities. It examines the technical advances in deep learning and generative artificial intelligence that broaden the scope and predictive power of digital twins. Finally, it highlights the individual and societal challenges as well as ethical considerations that are essential to realizing the future vision of incorporating cardiology digital twins into personalized cardiovascular care.

Artificial intelligence-enhanced patient evaluation: bridging art and science

The advent of digital health and artificial intelligence (AI) has promised to revolutionize clinical care, but real-world patient evaluation has yet to witness transformative changes. As history taking and physical examination continue to rely on long-established practices, a growing pipeline of AI-enhanced digital tools may soon augment the traditional clinical encounter into a data-driven process. This article presents an evidence-backed vision of how promising AI applications may enhance traditional practices, streamlining tedious tasks while elevating diverse data sources, including AI-enabled stethoscopes, cameras, and wearable sensors, to platforms for personalized medicine and efficient care delivery. Through the lens of traditional patient evaluation, we illustrate how digital technologies may soon be interwoven into routine clinical workflows, introducing a novel paradigm of longitudinal monitoring. Finally, we provide a skeptic's view on the practical, ethical, and regulatory challenges that limit the uptake of such technologies.

OUP accepted manuscript

Aims

The European Association of Cardiovascular Imaging Scientific Initiatives Committee conducted a global survey to evaluate the impact of the 2019 coronavirus disease (COVID-19) pandemic on the mental well-being of cardiac imaging specialists.

Methods and results

In a prospective international survey performed between 23 July 2021 and 31 August 2021, we assessed the mental well-being of cardiac imaging specialists ∼18 months into the COVID-19 pandemic. One-hundred-and-twenty-five cardiac imaging specialists from 34 countries responded to the survey. More than half described feeling anxious during the pandemic, 34% felt melancholic, 27% felt fearful, and 23% respondents felt lonely. A quarter of respondents had increased their alcohol intake and more than half reported difficulties in sleeping. Two-thirds of respondents described worsening features of burnout during the past 18 months, 44% considered quitting their job. One in twenty respondents had experienced suicidal ideation during the pandemic. Despite these important issues, the majority of participants (57%) reported having no access to any formal mental health support at work.

Conclusion

The survey has highlighted important issues regarding the mental well-being of cardiac imaging specialists during the COVID-19 pandemic. This is a major issue in our sub-specialty, which requires urgent action and prioritization so that we can improve the mental health of cardiovascular imaging specialists.