Understanding Nursing Informatics: A Survey of Nurses' Perception.

This paper aims to explore nurses' understanding of nursing informatics (NI). The structured and open-ended questionnaires were used to explore their knowledge of NI. Between 17 and 18 October 2023, the survey was conducted via a web portal and targeted 124 nurses attending in a nursing management training programme at the West China Hospital, Sichuan University. A total of 57.3% (71/124) of the nurses completed the survey. Of these, 29.6% (21/71) were unaware of NI and 70.4% (50/71) were aware of NI. However, only one of the nurses gave an accurate definition of NI. The results of this study suggest that there is a limited understanding of NI among senior nurses in mainland China, indicating a need to improve NI education for nurses.

Nursing Undergraduates' Perceptions of Nursing Informatics Courses.

The aim of this paper is to explore how nursing undergraduates perceive a nursing informatics (NI) course. Between 7 and 14 September 2023, a survey was conducted with 51 nursing undergraduates who enrolled in 2021. A structured and open-ended questionnaire was used to explore their perceptions of the course. A total of 90.2% (46/51) of the students completed the survey. Of the respondents, 69.6% (32/46) were unaware of NI, while 30.4% (14/46) were aware of it. Furthermore, 93.5% (43/46) of the respondents supported the introduction of a nursing informatics course. The results of this study will guide the development of NI curricula.

Evaluation of a Nursing Informatics Course by Nurses: A Continuing Education.

This study aimed to evaluate the effectiveness of a nursing informatics continuing education course and nurses' perceptions of it. This study investigates the evaluation and satisfaction of 103 nurses who attended the course on 10-11 June 2023. The survey was divided into two parts: the first part focused on the evaluation of teaching and the second part focused on the evaluation of the course. The first part contained 7 structured questions and 1 open-ended question, while the second part contained 11 structured questions. The results show a high level of satisfaction, with the teaching receiving a score of 9.9 out of 10. 95% of the participants were "very satisfied" and 5% were "satisfied".

Perspectives of Multidisciplinary Faculty on the Design of Nursing Informatics Curriculum.

This study aimed to understand the experiences and challenges of interdisciplinary collaboration in nursing informatics curriculum design. The study was conducted from 9-20 August 2023 with 14 multidisciplinary faculty members. Surveys and interviews focused on perceptions of interdisciplinary communication, importance of collaboration, challenges encountered, and training needs to identify barriers to effective curriculum development. Participation was voluntary and anonymous. The results revealed significant challenges, including differences in terminology and thought processes between disciplines, role ambiguity, and cultural/methodological differences. The results of the study highlight the importance of collaboration, which is critical to the development of an effective and cohesive nursing informatics curriculum.

Perception of ChatGPT by Nursing Undergraduates.

The study aimed to investigate the awareness and use of ChatGPT among undergraduate nursing students. A structured questionnaire was used to assess the awareness and use of ChatGPT. The questionnaire was undergraduate nursing students enrolled in 2021. The response rate to the survey was 90.2% (46/51). Of the respondents, 45 students were aware of ChatGPT, and only one student was not aware of ChatGPT. In terms of usage, 23 students responded. Among them, 16 used ChatGPT to enhance their learning experience, six for homework, five for chatting, four for essay writing, and one for other purposes. This study provides valuable insights for the better use of ChatGPT in nursing education.

Nurses' Perspectives on ChatGPT: A Survey Study.

The aim of this study was to assess nurses' awareness and use of ChatGPT. The study was conducted in October 2023 with an online questionnaire for 124 nurses in the nursing education programme at West China Hospital. The questionnaire included participants' demographic information, awareness of ChatGPT, and actual experience of using it. A total of 57.3% (71/124) of the nurses completed the survey. Of these, 56.3% (40/71) were aware of ChatGPT and 43.7% (31/71) were not aware of ChatGPT. In terms of use, of the 20 who used ChatGPT, 13 used it for studying, 10 for essay writing, five for research and two for chatting. This study highlights the potential of ChatGPT to improve nurses' professional competence and effectiveness. Further research will focus on how ChatGPT can be used more effectively to support nurses' professional development and growth.

Influence of short-term hypoxia exposure on dynamic visual acuity.

Background: To quantify the changes in dynamic visual acuity (DVA) and explain the hidden reasons after acute exposure to hypobaric hypoxia status. Methods: The study group comprised 18 healthy male and 15 healthy female participants aged 20-24 years old. DVA was measured with the self-developed software of Meidixin (Tianjin) Co., Ltd. Measurements were taken at eight altitudes. Data analysis was performed using the Kolmogorov-Smirnov test, paired sample T-test, and two-way repeated measures analysis of variance (ANOVA) for repeated measurements. Results: At constant altitude, DVA showed an overall decreasing trend with increasing angular velocity and a fluctuating decrease at the vast majority of altitudes. At constant angular velocities, DVA gradually increased with altitude, with the most pronounced increase in DVA at altitude 5, and thereafter a gradual decrease in DVA as altitude increased. Finally, as altitude decreased, DVA increased again and reached a higher level at the end of the experiment, which was superior to the DVA in the initial state. Conclusion: Under a hypobaric hypoxic environment at high altitude, DVA was affected by the angular velocity and the degree of hypoxia, manifesting as an increase or decrease in DVA, which affects the pilot's observation of the display and control interfaces during the driving process, acquisition of information, and decision-making ability, which in turn may potentially jeopardize the safety of the flight.

Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis.

BACKGROUND: Burnout among health care professionals is a significant concern, with detrimental effects on health care service quality and patient outcomes. The use of the electronic health record (EHR) system has been identified as a significant contributor to burnout among health care professionals. OBJECTIVE: This systematic review and meta-analysis aims to assess the prevalence of burnout among health care professionals associated with the use of the EHR system, thereby providing evidence to improve health information systems and develop strategies to measure and mitigate burnout. METHODS: We conducted a comprehensive search of the PubMed, Embase, and Web of Science databases for English-language peer-reviewed articles published between January 1, 2009, and December 31, 2022. Two independent reviewers applied inclusion and exclusion criteria, and study quality was assessed using the Joanna Briggs Institute checklist and the Newcastle-Ottawa Scale. Meta-analyses were performed using R (version 4.1.3; R Foundation for Statistical Computing), with EndNote X7 (Clarivate) for reference management. RESULTS: The review included 32 cross-sectional studies and 5 case-control studies with a total of 66,556 participants, mainly physicians and registered nurses. The pooled prevalence of burnout among health care professionals in cross-sectional studies was 40.4% (95% CI 37.5%-43.2%). Case-control studies indicated a higher likelihood of burnout among health care professionals who spent more time on EHR-related tasks outside work (odds ratio 2.43, 95% CI 2.31-2.57). CONCLUSIONS: The findings highlight the association between the increased use of the EHR system and burnout among health care professionals. Potential solutions include optimizing EHR systems, implementing automated dictation or note-taking, employing scribes to reduce documentation burden, and leveraging artificial intelligence to enhance EHR system efficiency and reduce the risk of burnout. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42021281173; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021281173.

Using large language model to guide patients to create efficient and comprehensive clinical care message.

OBJECTIVE: This study aims to investigate the feasibility of using Large Language Models (LLMs) to engage with patients at the time they are drafting a question to their healthcare providers, and generate pertinent follow-up questions that the patient can answer before sending their message, with the goal of ensuring that their healthcare provider receives all the information they need to safely and accurately answer the patient's question, eliminating back-and-forth messaging, and the associated delays and frustrations. METHODS: We collected a dataset of patient messages sent between January 1, 2022 to March 7, 2023 at Vanderbilt University Medical Center. Two internal medicine physicians identified 7 common scenarios. We used 3 LLMs to generate follow-up questions: (1) Comprehensive LLM Artificial Intelligence Responder (CLAIR): a locally fine-tuned LLM, (2) GPT4 with a simple prompt, and (3) GPT4 with a complex prompt. Five physicians rated them with the actual follow-ups written by healthcare providers on clarity, completeness, conciseness, and utility. RESULTS: For five scenarios, our CLAIR model had the best performance. The GPT4 model received higher scores for utility and completeness but lower scores for clarity and conciseness. CLAIR generated follow-up questions with similar clarity and conciseness as the actual follow-ups written by healthcare providers, with higher utility than healthcare providers and GPT4, and lower completeness than GPT4, but better than healthcare providers. CONCLUSION: LLMs can generate follow-up patient messages designed to clarify a medical question that compares favorably to those generated by healthcare providers.

The enhancement of astaxanthin production in Phaffia rhodozyma through a synergistic melatonin treatment and zinc finger transcription factor gene overexpression.

Astaxanthin has multiple physiological functions and is applied widely. The yeast Phaffia rhodozyma is an ideal source of microbial astaxanthin. However, the stress conditions beneficial for astaxanthin synthesis often inhibit cell growth, leading to low productivity of astaxanthin in this yeast. In this study, 1 mg/L melatonin (MT) could increase the biomass, astaxanthin content, and yield in P. rhodozyma by 21.9, 93.9, and 139.1%, reaching 6.9 g/L, 0.3 mg/g DCW, and 2.2 mg/L, respectively. An RNA-seq-based transcriptomic analysis showed that MT could disturb the transcriptomic profile of P. rhodozyma cell. Furthermore, differentially expressed gene (DEG) analysis show that the genes induced or inhibited significantly by MT were mainly involved in astaxanthin synthesis, metabolite metabolism, substrate transportation, anti-stress, signal transduction, and transcription factor. A mechanism of MT regulating astaxanthin synthesis was proposed in this study. The mechanism is that MT entering the cell interacts with components of various signaling pathways or directly regulates their transcription levels. The altered signals are then transmitted to the transcription factors, which can regulate the expressions of a series of downstream genes as the DEGs. A zinc finger transcription factor gene (ZFTF), one of the most upregulated DEGs, induced by MT was selected to be overexpressed in P. rhodozyma. It was found that the biomass and astaxanthin synthesis of the transformant were further increased compared with those in MT-treatment condition. Combining MT-treatment and ZFTF overexpression in P. rhodozyma, the biomass, astaxanthin content, and yield were 8.6 g/L, 0.6 mg/g DCW, and 4.8 mg/L and increased by 52.1, 233.3, and 399.7% than those in the WT strain under MT-free condition. In this study, the synthesis and regulation theory of astaxanthin is deepened, and an efficient dual strategy for industrial production of microbial astaxanthin is proposed.