The Safety Implications of Information Technology in Nursing: Japanese Incident Data Analysis.

This study delves into the impact of Information Technology (IT) on nursing practice in Japan, focusing on patient safety within the 2021-2022 Japanese Medical Accident Report Data. The research aims to understand how IT factors contribute to nursing-related medical incidents in a healthcare landscape rapidly integrating IT. The study identifies IT-related incidents through a retrospective analysis of medical incident reports, primarily in nursing, by analyzing categorized data and free-text descriptions for IT-related keywords. The findings indicate significant IT-related issues, with 'Other EHR Related' problems (36%) and 'EHR Reporting' errors (25%) being the most prevalent. These incidents often involve challenges in patient identification and medication management. The study suggests improvements like enhanced verification processes and automated systems to mitigate these risks. Conclusively, it underscores the dual nature of IT in nursing: while it holds the potential to enhance patient care, it also introduces challenges that necessitate specialized informatics expertise to ensure its beneficial integration into nursing practices.

The ChatGPT Effect: Nursing Education and Generative Artificial Intelligence.

This article examines the potential of generative artificial intelligence (AI), such as ChatGPT (Chat Generative Pre-trained Transformer), in nursing education and the associated challenges and recommendations for their use. Generative AI offers potential benefits such as aiding students with assignments, providing realistic patient scenarios for practice, and enabling personalized, interactive learning experiences. However, integrating generative AI in nursing education also presents challenges, including academic integrity issues, the potential for plagiarism and copyright infringements, ethical implications, and the risk of producing misinformation. Clear institutional guidelines, comprehensive student education on generative AI, and tools to detect AI-generated content are recommended to navigate these challenges. The article concludes by urging nurse educators to harness generative AI's potential responsibly, highlighting the rewards of enhanced learning and increased efficiency. The careful navigation of these challenges and strategic implementation of AI is key to realizing the promise of AI in nursing education. [J Nurs Educ. 2024;63(X):XXX-XXX.].

Difficulties and innovations in teaching anatomy and physiology in nursing.

AIM: This study aimed to clarify the difficulties and innovations in anatomy and physiology education from the perspective of faculty members in charge of anatomy and physiology education in Japanese nursing universities. BACKGROUND: Many nursing students have difficulty acquiring anatomy and physiology knowledge and applying it in clinical situations; therefore, effective teaching and learning methods for anatomy and physiology must be provided in nursing education. DESIGN: This study followed a cross-sectional observational design using a web-based self-administered questionnaire. METHODS: A web-based self-administered open-ended survey regarding the difficulties and innovations in teaching anatomy and physiology in nursing was conducted involving nursing faculty members at universities in Japan. After inviting 280 nursing universities to participate in the survey, 37 completed questionnaires were collected and descriptively analyzed. RESULTS: In approximately 30% of the universities, multiple professions were involved in collaboratively teaching anatomy and physiology. Furthermore, 59.5% of the universities offered a combination of didactic lectures and laboratory learning. Difficulties in teaching anatomy and physiology included the limitations of the physical teaching environment, the difficulty of teaching the importance of anatomy and physiology in nursing practice, the difficulty of adjusting educational content to learner readiness, and the difficulty of terminology and concepts specific to anatomy and physiology. Innovations used in teaching anatomy and physiology from a nursing perspective included integrating anatomy and physiology with related disciplines, encouraging students to visualize human anatomy in three dimensions, and linking anatomy and physiology to clinical nursing practice. CONCLUSION: Despite some difficulties in teaching the subjects, faculty members have implemented effective educational methods on their own. Due to the various constraints of the learning environment, it is difficult for students to learn anatomy and physiology on campus in depth and acquire a deep understanding of its significance in clinical practice. Therefore, educational involvement that fosters students' self-directed learning skills and encourages flexible learning is expected. In addition, by collaborating with multiple disciplines to provide anatomy and physiology education, the participants of this study innovated pedagogies for teaching nursing students about the usefulness of anatomy and physiology and motivated their students. Moving forward, teachers need to relate their knowledge of anatomy and physiology to actual nursing care and clinical cases and convey the importance of deeply understanding anatomy and physiology in nursing practice to support their students' active learning.

A Simulation Model of Escapable and Non-Escapable Areas from Which Pregnant Women Can Reach Tsunami Evacuation Buildings: The Case in 110 Elementary School Districts in Nagoya City, Aichi, Japan.

OBJECTIVE: The objective of this study was to establish a method for evaluating the possibility of pregnant women evacuating to tsunami evacuation buildings in coastal areas affected by tsunami. METHODS: We used data published by the Japanese government and a general-purpose geographic information system to develop a simulation method for evaluating the possibility of evacuation. The data included the number of pregnant women in each elementary school district, tsunami inundation forecast maps, location information of tsunami evacuation buildings, and the number of ordinary buildings. We used our method to conduct a tsunami evacuation possibility simulation for pregnant women in each elementary school district in 7 wards of Nagoya, Japan. RESULTS: Dense population areas at low elevations are high-risk areas from which many pregnant women may not be able to evacuate. Districts with evenly distributed tsunami evacuation buildings tend to have a lower risk. CONCLUSIONS: The proposed simulation method was able to determine the risk in elementary school districts in densely populated low-lying areas. However, it is suggested that the risk tends to be estimated higher in school districts where there are differences in elevation and the building distribution is not uniform.

Estimation of Pregnant Women Possibly Left Behind in Tsunami Predicted Areas of Nagoya City: A Simulation for Rescue Planning.

OBJECTIVE: In case of an outbreak of Nankai Trough Mega-earthquake, it is predicted that a tsunami would invade Nagoya City within 100 minutes, hitting about one third of the City of Nagoya. If the administrative plan of the city and midwives' expertise are coordinated, pregnant women's chances of survival will increase. The authors carried out this simulation study in an attempt to improve consistency of the two efforts. METHOD: We estimated the number of pregnant women using a machine learning model. The evacuation distance of pregnant women was estimated on the basis of the data of road center line. RESULTS: Through this simulation study, it became clear that preparation for approximately 2600 pregnant women escaping from tsunami predicted area and for about 1200 pregnant women possibly left in the area is needed. CONCLUSIONS: Our study suggests that triage point planning is needed in areas where pregnant women are evacuated. The triage makes it possible to transport women to appropriate hospitals.

Scientific Misconduct and Social Media: Role of Twitter in the Stimulus Triggered Acquisition of Pluripotency Cells Scandal.

BACKGROUND: The academic scandal on a study on stimulus­triggered acquisition of pluripotency (STAP) cells in Japan in 2014 involved suspicions of scientific misconduct by the lead author of the study after the paper had been reviewed on a peer­review website. This study investigated the discussions on STAP cells on Twitter and content of newspaper articles in an attempt to assess the role of social compared with traditional media in scientific peer review. OBJECTIVE: This study examined Twitter utilization in scientific peer review on STAP cells misconduct. METHODS: Searches for tweets and newspaper articles containing the term "STAP cells" were carried out through Twitter's search engine and Nikkei Telecom database, respectively. The search period was from January 1 to July 1, 2014. The nouns appearing in the "top tweets" and newspaper articles were extracted through a morphological analysis, and their frequency of appearance and changes over time were investigated. RESULTS: The total numbers of top tweets and newspaper articles containing the term were 134,958 and 1646, respectively. Negative words concerning STAP cells began to appear on Twitter by February 9-15, 2014, or 3 weeks after Obokata presented a paper on STAP cells. The number of negative words in newspaper articles gradually increased beginning in the week of March 12-18, 2014. A total of 1000 tweets were randomly selected, and they were found to contain STAP-related opinions (43.3%, 433/1000), links to news sites and other sources (41.4%, 414/1000), false scientific or medical claims (8.9%, 89/1000), and topics unrelated to STAP (6.4%, 64/1000). CONCLUSIONS: The discussion on scientific misconduct during the STAP cells scandal took place at an earlier stage on Twitter than in newspapers, a traditional medium.

Preparation of keratin and chemically modified keratin hydrogels and their evaluation as cell substrate with drug releasing ability.

Keratin was extracted as a reduced form from wool, which was then subjected to acetamidation, carboxymethylation or aminoethylation at abundant free cysteine residues to give acetamidated keratin (AAK), carboxymethylated keratin (CMK) and aminoethylated keratin (AEK). Hydrogels were prepared from intact and three chemically modified keratins simply by concentrating their aqueous solution and subsequent cooling. The lowest concentration to form a hydrogel without fluidity was 110 mg/ml for AAK, 120 mg/ml for AEK, 130 mg/ml for keratin and 180 mg/ml for CMK. Comparing with a hydrogel just prepared (swelling ratio: 600-700), each hydrogel slightly shrank in an acidic solution. While AAK hydrogel little swelled in neutral and basic solutions, other hydrogels became swollen and CMK hydrogel reached to dissolution. Hydrogels of keratin, AAK and AEK were found to support cell proliferation, although cell elongation on AAK and AEK hydrogel was a little suppressed. On the other hand, CMK hydrogel did not seem to be suitable for a cell substrate because of its high swelling in culture medium. Evaluation of the hydrogels as a drug carrier showed that keratin and AAK hydrogels were good sustained drug release carriers, which showed the drug release for more than three days, while the release from AEK and CMK hydrogels completed within one day. Thus, keratin and chemically modified keratin hydrogels, especially keratin and AAK hydrogels, were promising biomaterials as a cell substrate and a sustained drug release carrier.

Depression of type I diacylglycerol kinases in pancreatic ß-cells from male mice results in impaired insulin secretion.

Diacylglycerol kinase (DGK) catalyzes the conversion of diacylglycerol (DAG) to phosphatidic acid. This study investigated the expression and function of DGK in pancreatic ß-cells. mRNA expression of type I DGK isoforms (α, ß, γ) was detected in mouse pancreatic islets and the ß-cell line MIN6. Protein expression of DGKα and DGKγ was also detected in mouse ß-cells and MIN6 cells. The type I DGK inhibitor R59949 inhibited high K(+)- and glucose-induced insulin secretion in MIN6 cells. Moreover, single knockdown of DGKα or DGKγ by small interfering RNA slightly but significantly decreased glucose- and high K(+)-induced insulin secretions, and the double knockdown further decreased them to the levels comparable with those induced by R59949. R59949 and DiC8, a membrane permeable DAG analog, decreased intracellular Ca(2+) concentration elevated by glucose and high K(+) in MIN6 cells. Real-time imaging in MIN6 cells expressing green fluorescent protein-tagged DGKα or DGKγ showed that the DGK activator phorbol 12-myristate 13-acetate rapidly induced translocation of DGKγ to the plasma membrane, whereas high K(+) slowly translocated DGKα and DGKγ to the plasma membrane. R59949 increased the DAG content in MIN6 cells when stimulated with high KCl, whereas it did not increase the DAG content but decreased the phosphatidic acid content when stimulated with high glucose. Finally, R59949 was confirmed to inhibit high K(+)-induced insulin secretion from mouse islets and glucose-induced insulin secretion from rat islets. These results suggest that DGKα and DGKγ are present in ß-cells and that the depression of these DGKs causes a decrease in intracellular Ca(2+) concentration, thereby reducing insulin secretion.