Because of the nature of their work, physical and occupational therapists are at high risk of burnout, which is associated with decreased job satisfaction, medical errors, and mental wellbeing in healthcare professionals. To well manage and minimize potential impact of burnout, risk factors should be determined. This study examined burnout and job stress in physical and occupational therapists in various Korean hospital settings. Physical and occupational therapists from several rehabilitation facilities in South Korea completed a survey between March–May 2019. A set of questionnaires, including the Maslach Burnout Inventory and Job Content Questionnaire, were distributed to all participants. In total, 325 professionals (131 men and 194 women) were recruited. Burnout and work-related stress differed significantly according to several factors. Hospital size, gender, and age were the main contributory factors affecting at least two dimensions of the questionnaires. The more vulnerable group consisted of female therapists in their 20s at small- or medium-sized hospitals with low scores for quality of life. High levels of job stress and burnout were observed in female therapists in their 20s at small- or medium-sized hospitals. Hospitals and society should create suitable environments and understand the nature of therapists’ work to improve healthcare.

Background: Gender differences in personal discrimination experience, burnout, and job stress among physiotherapists and occupational therapists are considered as associated factors of job loss, poor job quality, high turnover, and economic losses due to the outflow of medical personnel. Thus, the purpose of this study is to analyze the level of burnout, personal discrimination experience, and job stress according to gender differences for young physiotherapists and occupational therapists. Furthermore, we used regression analyses to determine the contribution of gender differences in personal discrimination experience and job stress to self-reported burnout, considering gender and two age groups (younger than 30 years old vs. 30 years old and over). Methods: A total of 325 professional physiotherapists and occupational therapists were part of this study (n = 325; male n = 131; female n = 194. Age: 20–29 years old, n = 178; ≥30 years old, n = 147). Data were collected using a questionnaire including our three study variables (scales: the Maslach Burnout Inventory (MBI), a modified version of the gender section of the Medical School Graduation Questionnaire from the Association of American Medical Colleges; and the Korean version of the Job Content Questionnaire (JCQ)). Further, data on socio-demographic factors, job-related factors, health-related factors, and subjective job satisfaction were also collected. Results: There were significant positive correlations between job stress and gender differences in personal discrimination experience and job stress and burnout in women 30 years old and over. Personal experience of gender discrimination (β = 0.179, p = 0.015) and job stress (β = 0.162, p = 0.028) explained a significant 42.4% of the variance in burnout in the case of younger female participants (20–29 years old). However, this model did not explain a significant amount of the variance in burnout in the case of younger male participants (R² = 0.156, p = 0.072). Regarding participants aged 30 years and over, our results showed that only job stress (but no personal experience of gender discrimination) was a relevant predictor for both males (β = 0.471, p < 0.001) and females (β = 0.373, p = 0.001). Conclusion: In this study, female therapists showed higher levels of burnout than male therapists. In particular, personal discrimination experience and job stress significantly contributed to burnout in younger female therapists while job stress was the most relevant predictor variable of burnout for both males (under 30 years old and 30 years old and over) and females in their thirties and beyond. For young female physiotherapists and occupational therapists, safe working environments should be created to reduce work-related mental burdens. It is also necessary to consider policies and regulations that can prevent job stress for therapists and measures that can positively resolve the unavoidable job stress.

Background: Large language models (LLMs) have the potential to enhance information processing and clinical reasoning in the healthcare industry but are hindered by inaccuracies and hallucinations. The retrieval-augmented generation (RAG) technique may address these problems by integrating external knowledge sources. Methods: We developed a RAG-based chatbot called Thyro-GenAI by integrating a database of textbooks and guidelines with LLM. Thyro-GenAI and three service LLMs: OpenAI’s ChatGPT-4o, Perplexity AI’s ChatGPT-4o, and Anthropic’s Claude 3.5 Sonnet, were asked personalized clinical questions about thyroid disease. Three thyroid specialists assessed the quality of the generated responses and references without being blinded, which allowed them to interact with different chatbot interfaces. Results: Thyro-GenAI achieved the highest inverse-weighted mean rank for overall response quality. The overall inverse-weighted mean rankings for Thyro-GenAI, ChatGPT, Perplexity, and Claude were 3.0, 2.3, 2.8, and 1.9, respectively. Thyro-GenAI also achieved the second-highest inverse-weighted mean rank for overall reference quality. The overall inverse-weighted mean rankings for Thyro-GenAI, ChatGPT, Perplexity, and Claude were 3.1, 2.3, 3.2, and 1.8, respectively. Conclusions: Thyro-GenAI produced patient-specific clinical reasoning output based on a vector database, with fewer hallucinations and more reliability, compared to service LLMs. This emphasis on evidence-based responses ensures its safety and validity, addressing a critical limitation of existing LLMs. By integrating RAG with LLMs, it has the potential to support frontline clinical decision-making, especially helping first-line physicians by offering reliable decision support while managing thyroid disease patients.

Objectives: Education in biomedical and health informatics is essential for managing complex healthcare systems, bridging the gap between healthcare and information technology, and adapting to the digital requirements of the healthcare industry. This review presents the current status of biomedical and health informatics education domestically and internationally and proposes recommendations for future development.Methods: We analyzed evidence from reports and papers to explore global trends and international and domestic examples of education. The challenges and future strategies in Korea were also discussed based on the experts’ opinions.Results: This review presents international recommendations for establishing education in biomedical and health informatics, as well as global examples at the undergraduate and graduate levels in medical and nursing education. It provides a thorough examination of the best practices, strategies, and competencies in informatics education. The review also assesses the current state of medical informatics and nursing informatics education in Korea. We highlight the challenges faced by academic institutions and conclude with a call to action for educators to enhance the preparation of professionals to effectively utilize technology in any healthcare setting.Conclusions: To adapt to the digitalization of healthcare, systematic and continuous workforce development is essential. Future education should prioritize curriculum innovations and the establishment of integrated education programs, focusing not only on students but also on educators and all healthcare personnel in the field. Addressing these challenges requires collaboration among educational institutions, academic societies, government agencies, and international bodies dedicated to systematic and continuous workforce development.

This study was conducted to determine the degree of depression in family caregivers of spinal-cord-injury patients and to identify factors influencing family caregivers’ depression. The final study subjects were 30 (family caregivers: 6 males and 24 females). The CES-D of family caregivers; general characteristics of spinal-cord-injury patients and family caregivers; and information on physical health, household income, leisure, social activity, family relationship, and life-in-general status of family caregiver were collected. A frequency analysis, normality test, Mann–Whitney test, Kruskal–Wallis test, Spearman Correlation analysis, hierarchical regression analysis, and spider network through a path model analysis were performed. As for the general characteristics, when the patient was economically active, the caregiver’s depression was mean ± SD; 2.04 ± 0.71; otherwise, it was mean ± SD 2.86 ± 0.74, indicating that the caregiver of the non-economic activity patient was more depressed (p = 0.013). In Model 1 of the multiple regression analysis to understand the effect on the depression of the caregiver, it was confirmed that the depression of the caregiver decreased as the family caregiver had more leisure and social activities (B = −0.718, p = 0.001). In Model 2, it was found that the depression of caregivers increased when the patient did not engage in economic activity (B = 0.438, p = 0.016). In the spider-web form through the path model analysis, as the family’s economic level increased, physical health increased by B = 0.755 (p < 0.001), and the increase in physical health (B = 0.424, p = 0.042) was, in turn, a factor in the increase of engagement in leisure and social activities. Various policies will be needed for the successful return to society of spinal-cord-injury patients by ensuring that their leisure and social activities and establishing measures to support their economical income.