Doğal dil işleme teknolojisinin bir ürünü olan ChatGPT sağlık eğitimi, bilimsel araştırmalar ve sağlık hizmetleri gibi çeşitli alanlarda gündeme gelmektedir. Bu çalışmanın amacı, bu uygulamanın sağlık hizmetlerinde sağladığı imkânları ve kullanımıyla ilgili potansiyel sınırlamaları ve endişeleri incelemektir. ChatGPT sağlık alanında görev yapan profesyonellere bilimsel yayın hazırlama aşamalarında, eğitim süreçlerinin planlanmasında ve sağlık hizmetleri uygulamalarında çeşitli imkânlar sunmaktadır. Sağlık hizmeti alanlarında kişiselleştirilmiş tıbbi tedaviyi, halka kolay erişilebilirliği ve anlaşılır sağlık bilgileri sağlayarak sağlık okuryazarlığını geliştirme potansiyeline sahiptir. Klinik karar destek sistemlerinden tele-sağlık hizmetlerinin geliştirilmesine, literatür taramalarından büyük veri analizlerine kadar geniş bir yelpazede etkin bir araç olarak kullanılabilir. Ancak, ChatGPT'nin sağlık hizmetlerindeki geniş çaplı kullanımı bazı etik ve hukuki sorunları beraberinde getirebilmektedir. Bilimsel araştırma süreçlerinde, hasta mahremiyeti ve veri güvenliği konularında, teknoloji geliştiricileri ve sağlık hizmeti sağlayıcıları arasında işbirliği yapılarak uygun düzenlemelerin planlanması gerekebilir. Sonuç olarak, ChatGPT ve benzeri yapay zekâ teknolojilerinden, ilerleyen süreçlerde daha etkin sonuçlar elde etmek ve bu teknolojilerin potansiyelini tam olarak kullanmak için, daha fazla veri ve iyileştirme sağlamak gerekmektedir. Ayrıca, ChatGPT'nin sağlık hizmetlerindeki kullanımını inceleyen ve bu alandaki yenilikleri teşvik eden araştırmaların yapılmasına ihtiyaç vardır.

Missed nursing care poses a significant challenge for healthcare staff in terms of patient safety and care quality. To evaluate presenteeism and missed care attitudes of nurses and to determine the correlation between presenteeism and missed care. This descriptive, correlational, and observational study was conducted between February and August 2023. The Stanford Presenteeism Scale-Short Form and the MISSCARE Survey were used to collect the data among nurses at two public hospitals in a city in Turkey. The study was completed with 229 nurses representing 27.4% of the total number of nurses who met the inclusion criteria. The data was analyzed using a comprehensive analytical approach, including Cronbach’s alpha analysis, frequency and percentage distribution, the Shapiro–Wilk test of normality, correlation coefficient analysis, Pearson correlation coefficient, and the Bonferroni test. The participants’ mean age was 30.22 ± 7.14 years, and 74.2% of them were female. 53.3% of the participants reported difficulty providing patient care due to material shortages, and 62.9% experienced challenges delivering care due to the intensity of paperwork in the clinic. Nurses who felt that paperwork intensity affected patient care and were not confident in their care provision had higher levels of presenteeism (p = 0.041) and a significantly higher frequency of missed care instances (p < 0.001). Material shortages and high paperwork intensity are contributing factors to the difficulties experienced by nurses in their practice. These difficulties may lead to an increase in presenteeism and instances of missed nursing care. It is important to address these challenges to ensure adequate care provision and reduce the likelihood of presenteeism among nurses. The correlation between presenteeism and instances of missed nursing care highlights the impact of presenteeism behaviors on the quality of patient care.

This study aimed to explore the perspectives and experiences of healthcare academics regarding the impact of ChatGPT, an artificial intelligence (AI)-supported language model, on education and research. This qualitative study employed a phenomenological analysis approach. The study sample consisted of nine academics from the Faculty of Health Sciences at a university in Türkiye, selected through purposive sampling method. Data were collected through semi-structured interviews, coded using the MAXQDA software, and analyzed using content analysis. The participants highlighted that while ChatGPT offers rapid access to information, it occasionally fails to provide current and accurate data. They also noted that the students' misuse of ChatGPT for assignments and exams has a negative effect on their critical thinking and information retrieval skills. The academics reported that there is a need for expert oversight and verification of the data generated by ChatGPT. While ChatGPT offers significant benefits such as enhanced efficiency in academic research and education, it also presents challenges, including accuracy and ethical concerns. Institutions should integrate ChatGPT with clear guidelines to maximize its benefits while maintaining academic integrity. Future studies should explore the long-term impacts of AI tools, such as ChatGPT, on educational outcomes and their application across various disciplines.

Background: Brain drain refers to the migration of qualified professionals to developed countries in search of better living and working conditions, and has become a global concern, particularly in the healthcare sector. Migration of highly skilled nurses results in increased workload for the remaining nursing staff, limited access to quality healthcare services, and contributes to disparities in healthcare. Therefore, nursing students represent a critical demographic group for understanding the drivers of brain drain in the healthcare sector. Purpose: This study aimed to assess the levels of hopelessness experienced by nursing students in Turkey throughout their education and to examine the impact of hopelessness on their decisions to move abroad. Materials and methods: The study was conducted on 795 students enrolled in the nursing departments of two public universities in Gaziantep. Data were collected using a Demographic Data Form, the Beck Hopelessness Scale, and the Attitudes Towards Brain Drain Scale. The data were analyzed using the SPSS 24.0 statistical software. Results: 57% of the nursing students considered moving abroad, with 20.2% preferring Germany. The primary reasons for their desire to migrate included poor living conditions (11.1%), economic problems (12.9%), unfavorable working conditions (8.3%), and educational challenges (5.4%). The findings highlight the significant role of future hopelessness in influencing the migration intentions of nursing students. Conclusion: More than half of Turkish nursing students consider moving abroad to seek better working conditions, higher living standards, financial gains and educational opportunities, with Germany being their top destination country. Despite low levels of hopelessness observed among the students, the tendency for migration persisted. A retention policy needs to be developed with strategic actions to prevent nurses from migrating to other countries. Clinical trial number: not applicable.