bluuebunny/crossref_metadata_2025 huggingface dataset:
THE The Effect Of Brand Image On The Decision Process To Visit Tourist In Cicalengka Dreamland
Authors: Pramudya Aria Dimas , Safa’atul Barkah Cecep
Published: July 2024

Increased business potential in the tourism industry, especially in the provinces of West Java and Bandung Regency, so that many companies are competing to be the best in this increase. PT. Tahfidz Land Group with its product Cicalengka Dreamland is a tourist spot that introduces natural and Islamic nuances. This is done as a business strategy in increasing the tourism industry. This study aims to determine the effect of brand image on the decision process to visit tourists. This study uses a quantitative method with a descriptive verification approach. The sampling technique was carried out using probability sampling with simple random sampling. This study uses simple linear regression analysis, coefficient of determination and hypothesis testing to determine the effect. The population in this study are tourists who have visited Cicalengka Dreamland in 2022, totaling 100 respondents. The results of the study reveal that brand image has a positive influence on the visiting decision process. Thus, the better the brand image, the tourists will follow the visiting decision process pattern. Suggestions that can be given are increasing marketing through social media, providing reservations through online travel agents, and improving facilities such as providing shaded equipment rental because Cicalengka Dreamland is in a proving area.
Plants as Designers of Better Futures
Authors: Rutten Julian , Holland Alexander , Roudavski Stanislav
Published: July 2024

This research explores the idea of plants as designers and discusses approaches that humans can use to support plant’s productive agencies. It argues that plants have unique and valuable capabilities for creating and caring for their environments. Human interventions often overlook or constrain such capabilities. In response, the article proposes to use numerical modelling to better understand plants better while challenging the anthropocentric assumptions that are common in design. It focuses on large old trees in Tasmania as examples of outstanding plant-designers that need more recognition and protection. The article also raises open questions for further research on the ethical, ecological, and aesthetic implications of vegetal design.
Phytochemical profile and antioxidant activity of torch ginger (Etlingera elatior) inflorescence extract after in vitro simulated digestion
Authors: Mutmainah Miftah , Mayangsari Yunika , Santoso Umar , Chansuwan Worrapanit , Sirinupong Nualpun
Published: July 2024

Background: Torch ginger (Etlingera elatior) is an edible flower whose inflorescence is utlized for culinary purposes to enchance the taste of traditional dishes containing polyphenols and antioxidant compounds. However, investigation on the phytochemical profile and antioxidant activity of torch ginger inflorescence extract following simulated gastrointesinal digestion is still limited.
Objective: This study aims to determine the phytochemical profile and evaluate the antioxidant activity of the inflorescence extract after in vitro simulated digestion.
Methods: Torch ginger inflorescence (TGI) was extracted by ultrasound-assisted extraction with different solvents (water,50%, and 80% aqueous ethanol). Total phenolics content (TPC), total flavonoid content (TFC), and antioxidant activity were determined by ORAC, DPPH, FRAP, and metal ion (Fe2+) chelating activity. The solvent extraction that gave the highest value of TPC, TFC, and antioxidant activities was used for an in vitro digestion and identification of phytochemicals profile by LC-ESI-QTOF-MS/MS. Furthermore, the TPC, TFC, and antioxidant capacities of digested TGI extract were compared to those of undigested extract.
Results: TGI contained 90.24% moisture. The 80% aqueous ethanol extract exhibited the highest antioxidant capacity, with an ORAC value of 1,156.61 ± 11.55 mM TE/g extract, DPPH radical scavenging capacity of 1,087.68 ± 14.37 mM TE/g extract, FRAP value of 799.30 ± 1.45 mM TE/g extract, and Fe2+ chelating capacity of 42.32 ± 3.48% /mg extract. The 39 phytochemicals were identified for 9 flavonoids and 5 phenolic acids. The putative bioactive compounds for antioxidant, anticancer, anti-inflammatory, and anticholesterol were detected in TGIE, such as catechin, 2-hydroxycinnamic acid, astragalin, chlorogenic acid, coumarin, and procyanidin B2. After passing through an in vitro simulated mouth, gastric, and intestinal digestion, the TGI extract exhibited higher values of TPC, TFC, and antioxidative capacities than the undigested extract.
Conclusion: This study reviewed the phytochemical components presented in the 80% aqueous ethanol TGIE. The expressed antioxidant capacity was increased when the TGIE passed through the in vitro simulated digestion, which could potentially represent a promising source of endogenous antioxidants in food and nutraceutical applications.
Keywords: Antioxidant, edible flower, gastrointestinal digestion, phytochemicals, Torch ginger inflorescence
Environmental Assessment of Construction Products – Challenges, Priorities, and Needs from Producers’ Perspective. A Review
Authors: Michalak Jacek
Published: July 2024

The article presents the current state of knowledge in assessing the environmental impact of construction products. The analysis was carried out to examine the possibility of reliable assessment and verification of the environmental impact of construction products by the manufacturer in connection with the planned introduction of mandatory environmental assessment in the EU. The results of a systematic literature review for the keywords of this article indicated many different problems and imperfections in the existing assessment model using product life cycle analysis, among which the most important is the incomparability of the results obtained, which is a crucial issue related to the manufacturer’s credibility. The literature review indicated that implementing a new, mandatory model for assessing the environmental impact of construction products in EU countries will be a challenge for all market participants. The rational implementation of the environmental assessment of construction products will be complex and require much more work and time than was planned by the European Commission. A comparison of the results of this literature review with the assumptions of the new EU model of environmental assessment of construction products also indicates the lack of knowledge transfer from science to public administration, negatively affecting the rationality of the decision-making process. In light of the literature review results, the only reasonable solution is to create sectoral environmental declarations. Adopting such a solution will allow manufacturers of construction products to rationalize the expenses related to their development and avoid the chaos that may arise when environmental impact data are incomparable.
Development of an Intelligent Risk Hierarchical Management System on Pulmonary Aspiration for the Elderly
Authors: Fu Shuojin , Kang Ruifu , Xuan Zehui , Wang Yanling , Xiao Qian
Published: July 2024

For the elderly, the risks associated with pulmonary aspiration are significant, and can severely impact their quality of life. Therefore, the management of pulmonary aspiration risk is crucial in promoting healthy aging, an aspect often overlooked in self-health management for the elderly. To enhance self-management of pulmonary aspiration risk among the elderly, we have organized a multidisciplinary team to develop an intelligent risk hierarchical management system on pulmonary aspiration for the elderly. This system tailors the assessment with different questionnaires based on the elderly individual’s environment. Additionally, it utilizes elderly-friendly formats such as pictures, videos and animations, making it easier for seniors to comprehend the occurrence and hazards of pulmonary aspiration. This enables them to proactively take preventive measures to manage the risk, thus achieving self-management of pulmonary aspiration risk.
Digital Documentation in Healthcare: Empowering Nurses and Patients for Optimal Care
Authors: Diya Robylin Tweetie , Ghezzi Antonella
Published: July 2024

In response to challenges associated with extensive documentation practices within the NHS, this paper presents the outcomes of a structured brainstorming session as part of the Chief Nurse Fellows project titled ‘Digital Documentation in Healthcare: Empowering Nurses and Patients for Optimal Care.” Grounded in Dr. Rozzano Locsin’s theory of “Technological Competency as Caring in Nursing,” this project leverages a Venn diagram framework to integrate Digital Maturity Assessment (DMA) results with the ”What Good Looks Like” (WGLL) Framework, the ANCC Pathway to Excellence, and the eHospital EPR program vision of University Hospitals of Leicester NHS Trust. Participants, including Clinical IT facilitators and nursing leaders, engaged in identifying synergies and gaps across digital proficiency, nursing excellence, and patient-centric care, contributing actionable insights towards an optimized digital patient care model. The findings emphasize the need for holistic digital solutions that enhance documentation efficiency, support staff excellence, and improve patient outcomes.
The Safety Implications of Information Technology in Nursing: Japanese Incident Data Analysis
Authors: Miyagawa Shoko , Urata Yuyu , Watanabe Shizuka , Sugihara Hiromori , Mitani Shinya , Fukahori Hiroki , Topaz Maxim
Published: July 2024

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.
Applications of Artificial Intelligence in Psychiatric Nursing: A Scope Review
Authors: Li Huanhuan , Zhu Guibing , Zhong Yan , Zhang Zhuoqiu , Li Shuiying , Liu Jialin
Published: July 2024

Rapid advances in artificial intelligence (AI) have reshaped healthcare, including psychiatric nursing, to address the limitations of traditional approaches and meet escalating mental health challenges. A scoping review analyzed 48 articles examining the application of AI in psychiatric nursing across different technologies and topics, noting trends in publications and countries involved. The articles covered different aspects of mental health using AI technologies such as machine learning and robotics, and primarily explored AI applications in mental health, specifically dementia, autism and schizophrenia. These studies highlighted the role of AI in personalized care plans, symptom monitoring and risk assessment. AI is promising, but faces challenges such as data bias and ethical concerns. Future research needs to focus on long-term studies, diverse populations, patient interaction and personalized treatments for practical integration into psychiatric nursing.
Cross-Mapping the Portuguese Nursing Ontology with ICNP, SNOMED CT and NANDA-I
Authors: Oliveira Fernando , Morais Ernesto Jorge , Cardoso Alexandrina , Brito Alice , Gonçalves Patrícia , Bastos Fernanda , Machado Natália , Cruz Inês , Sousa Paula , Pereira Filipe
Published: July 2024

EHR Interoperability is crucial to obtain a set of benefits. This can be achieved by using data standards, like ontologies. The Portuguese Nursing Ontology (NursingOntos) is a reference model describing a set of nursing concepts and their relationships, to represent nursing knowledge in the Electronic Health Records (EHR). The purpose of this work was to define a set of correspondences between Nursing Ontology concepts of NursingOntos and other terminologies, which have the same or similar meaning. In this project, we are using the ISO/TR12300:2016 standard on the principles of mapping between terminological systems. Regarding the domain of “airway clearance”, we can say that Portuguese Nursing Ontology has a good level of mapping with other terminologies. In conclusion, we can say that Portuguese Nursing Ontology can be used in EHR with the purpose of a global digitalization of health.
Factors That Impact Nurses Use of Technology: A Qualitative Study
Authors: Collins Emma , Jayan Babu Naini , Honey Michelle
Published: July 2024

The use of technology in nursing has increased, most notably since the Covid-19 pandemic which highlighted benefits of digital health in nursing practice. Understanding the enablers and barriers associated with nurses’ use of digital technology is important as these can impact adoption and engagement. To understand the factors that impacted New Zealand nurses’ use of technology a national online survey was undertaken in August 2022. Participants (n=191) came from varied clinical settings across the country. Their responses to the open-ended questions were thematically analyzed and are reported here. Four themes were identified: 1) Knowledge of digital technology, 2) connectivity, 3) devices and systems, and 4) training and education. Understanding the factors that impact nurses use of technology can support actions to build the digital competency of nurses, enhance the nursing workforce and therefore benefit patient care.
Validation of Educational Materials for a Mobile Application for Patients with Kidney Disease on Hemodialysis
Authors: Ledo Guadalupe Vianey Antonio , Lozada-Perezmitre Erika , Pruinelli Lisiane , Gómez Flores Miguel Ivan , Ramirez-Gonzalez Luis Ricardo
Published: July 2024

Worldwide, chronic kidney disease (CKD) is a public health problem due to its high morbidity and mortality rates. For CKD patients, mobile health applications have functioned as a strategy that promotes patient care through valid and reliable educational materials. This is a prospective and descriptive three-stage study using content experts. Results created three visual and three audiovisual materials with acceptable evaluations. The design and validation of educational materials are a valid and reliable method for patient health education through mobile health applications.
Multidisciplinary-Based Design of a Nursing Informatics Curriculum
Authors: Liu Jialin , Liu Fan , Zhang Fengying , Fang Jinbo , Li Chuan , Liu Sir
Published: July 2024

This paper explores the development of a multidisciplinary nursing informatics curriculum. The aim is to integrate multiple disciplines to meet the educational objectives of undergraduate nursing students. The curriculum design included a thorough needs assessment, curriculum development, and evaluation. Of the 29 undergraduate nursing students enrolled in the course, 21 completed the course evaluation with a response rate of 72.4%. The comprehensive assessment of the course (part 1) scored 93.7 out of 100, while the quality of the teacher’s teaching (part 2) scored 93.4 out of 100. In addition, in response to the subjective questions, students expressed satisfaction with the course design and teaching methods, and emphasized the usefulness of the course for their future nursing practice.
Enhancing Engagement and Achievement in Nursing Education: The Effect of Combining Online PBL and Design Thinking on Student Motivation and Satisfaction – A Qualitative Analysis
Authors: Lu Yen-Chiao Angel
Published: July 2024

This study explores the integration of design thinking into online problem-based learning (PBL) within the context of nursing education, leveraging Google Jamboard as a facilitative interactive tool. By prioritizing creativity, empathy, and iteration, this innovative approach seeks to bolster student motivation and satisfaction. Employing a quasi-experimental design, the research involved third-year nursing students and compared the efficacy of traditional PBL methods against a hybrid model that integrates design thinking principles. Notably, the experimental group’s interaction with Google Jamboard significantly enhanced their engagement, resulting in notable improvements in both motivation and satisfaction. The findings underscore the benefits of merging online PBL with design thinking, particularly when supported by digital tools, in creating a more vibrant and effective learning environment. This methodology not only stimulates active learning but also fosters vital competencies such as critical thinking and collaboration, which are crucial in the nursing profession. The results of this study advocate for the implementation of cutting-edge teaching methodologies in nursing education and pave the way for further investigation into the enduring impacts of this educational amalgamation.
Optimizing Directed Research Groups with Students to Iteratively Refine the Tuberculosis Treatment Support Tools
Authors: Iribarren Sarah , Vidrio Alfonso Aguilar
Published: July 2024

Targeted Directed Research Groups can be optimized leverage diverse student experiences and expertise, offering a platform for active student involvement in addressing global challenges. With experience we improved our strategies during the refinement of tools to support individuals with active tuberculosis (TB).
Big Bang Implementation of Electronic Health Records in a BSN Prelicensure Program for Documentation Competency
Authors: Wyman Paula , Holmes Michael , Kreis Katherine , Camperlengo Lori , Roye Jennifer
Published: July 2024

Only ten percent of nursing schools in the US are currently using EHRs in their curriculum. This is seen to decrease students’ effectiveness as new nurses. We began implementation of EHR use in Spring 2024 and have started collecting data as to the effectiveness of this process. This is a starting point using semester 1 junior (J1) students and we plan to have this process follow these students throughout all 4 semesters and assess them in their first year of practice to gain full understanding of the benefits.
AI and Big Data: Current and Future Nursing Practitioners’ Views on Future of Healthcare Education Provision
Authors: Bonacaro Antonio , Rubbi Ivan , Artioli Giovanna , Monaco Federico , Sarli Leopoldo , Guasconi Massimo
Published: July 2024

Artificial Intelligence (AI) is defined as “the capacity of a computer, robot, programmed device, or software application to perform operations and tasks analogous to learning and decision making in humans, such as speech recognition or question answering. Chat Generative Pre-Trained Transformer (ChatGPT) represent an example of this promising technology as it is designed to communicate and interact with people similarly to a human being”. The introduction of any form of AI based technologies could be beneficial in nursing education and healthcare provision. A questionnaire co-created with ChatGPT was administered to nursing students, nurses and educators aiming at exploring how those technologies would impact on the world of healthcare and education. 176 participants were recruited. Data analysis showed that the perceived potential benefits of introducing AI include: improved quality of nursing care, of the diagnostic process and of job satisfaction. Conversely, some of the risks would be: limited opportunities to critical thinking and reduction of interaction and collaboration.
Finnish Immigrants’ Affective Attitude Towards the IMPMS for Loneliness Detection: A Descriptive Qualitative Study
Authors: Amayag Mark , Auxier Jennifer , Wang Yuning , Sarhaddi Fatemeh , Rahmani Amir , Axelin Anna
Published: July 2024

Loneliness is a global health concern that contributes to morbidity in immigrant populations. However, traditional treatments for loneliness focus on symptom management rather than prevention. Technology-related solutions for preventing and assessing loneliness among immigrants are crucial. This study explored Finnish immigrants’ affective attitude towards the IoT-based Multimodal Personalized mHealth System (IMPMS), a system for building predictive models for loneliness detection. In this descriptive qualitative study embedded within the DOMINO feasibility study, immigrants in Finland shared their experiences and perspectives of the IMPMS. Semi-structured interviews were conducted using an interview guide based on the Theoretical Framework of Acceptability (TFA). Data were analyzed using thematic analysis. Finnish immigrants considered the IMPMS acceptable, as evidenced by their positive experiences with the system. Areas for improvement highlighted in the results could be utilized to further refine and enhance the acceptability of the IMPMS for future implementation.
Development of an Intelligent Health Education System Based on Large Language Model for Elderly Pulmonary Aspiration Prevention
Authors: Kang Ruifu , Fu Shuojin , Jin Shuai , Wang Yanling , Xiao Qian
Published: July 2024

As the aging process accelerates, the incidence of chronic diseases in the elderly is rising. As a result, it is crucial to optimize health education for the elderly. Pulmonary aspiration and aspiration pneumonia are significant concerns endangering the health of the elderly. The health education paradigm now in use to prevent pulmonary aspiration in the elderly has numerous flaws, including a lack of home-based health education and the digital divide. Large language model (LLM), an example of artificial intelligence technology, is anticipated to bring a chance to address these issues and offer easily comprehensible health information for the prevention of pulmonary aspiration in the elderly. Our multidisciplinary research team fully understood the needs from the perspective of physicians, nurses and patients, built a knowledge graph (KG), and developed an intelligent Health EducAtion system based on LLM for the prevention of elderly Pulmonary Aspiration (iHEAL-ePA system).
Precision Nutrition Management in Continuous Care: Leveraging AI for User-Reported Dietary Data Analysis
Authors: Lee Hsiu-An , Liu Chen-Yi , Hsu Chien-Yeh
Published: July 2024

A As health technology advances, this study aims to develop an innovative nutritional intake management system that integrates artificial intelligence technology and social media software to achieve precise analysis of patient-generated data and comprehensive management in continuous care. Our system is built on the Line Bot platform, allowing users to easily and intuitively obtain detailed analyses of their individual nutritional intake by reporting dietary information. While users report their dietary habits through the Line Bot, our AI model conducts real-time analysis of nutrient intake, providing personalized nutritional recommendations. This instantaneous feedback not only enhances user engagement in nutritional management but also aids in establishing healthy habits. Additionally, through integration with social media software, our system facilitates information sharing and community support among users, promoting the exchange of nutritional knowledge and mutual assistance. This study further explores the specific needs of patients with chronic diseases, collecting individual data on chronic conditions and total nutritional intake. Based on the nutritional intake guidelines proposed by the Health Promotion Administration in Taiwan, more precise nutritional management recommendations are provided to meet the unique health needs of each patient. This study introduces a comprehensive, patient-generated data-based approach for precision nutrition management in continuous care. By integrating artificial intelligence, social media software, and data analysis, our system not only offers effective tools for monitoring and managing patients’ nutritional intake but also fosters interaction and support among patients, driving the implementation of continuous care practices.
Social Determinants of Health Screening, Referral, and Outcomes: Toward an Evidence-Based Simulation Model
Authors: Sockolow Paulina S.
Published: July 2024

A more complete conceptual model of the social determinants of health (SDOH) screening and referral process is needed to identify effective interventions to address unmet social needs that impact health outcomes. The objective was to develop an evidence-based, complex, multi-factorial model that makes explicit the behaviors and experiences of both patients and the care team (factors) who use an SDOH platform to facilitate patient connections to community resources. The resulting model organized 88 factors among five main stages in the process and among health outcomes. Factors were grouped into eight categories among person, system, and organization levels. Most factors were related to the screening process, with sparse factors related to referral completion. The resulting model is offered as an initial step toward the development of a simulation model to assess interventions before implementation in real-world settings.
Representing Nursing Practice in EMR/EHRs
Authors: Hovenga Evelyn
Published: July 2024

Objective: Review of the ISO 18104 technical standard for a Nursing Categorial structure to best represent nursing practice in EMR/EHRs and digital health ecosystems. Methods: Application of ISO standard review guidelines in consultation with ISO member stakeholders. Results: Comprehensive views of the nursing practice knowledge domain are presented as mindmaps. Groups of patients can now be identified using the ‘type of subject of care’ category. The collaborative role of nurses is now recognized. This high level structured information model recognises nursing diagnosis, nursing actions and nurse sensitive outcomes relative to other categories and sub-categories known to influence nursing actions and nurse sensitive outcomes. Discussion: This nursing practice framework reflects the nursing process. It supports conceptual and logical analysis of patient journey related nursing practice. Conclusion: This updated categorial structure is a good fit with today’s information technologies. Its adoption enables the value of nursing services provided to be demonstrated.
Predictor Selection for Case Complexity Based on Routine Data for Needs-Based and Competence-Based Staff Planning
Authors: Bürgin Reto , Ranegger Renate , Baumberger Dieter , Jagfeld Glorianna
Published: July 2024

Due to nursing staff shortage and growing nursing care demand, resource allocation and optimal task distribution have become primary concerns of nursing management. Grade mix analysis based on nursing interventions and nurse qualifications from routine patient documentation can support this. Case complexity is a key linking factor of nursing interventions, workload, and grade mix. This study determined case complexity predictors based on one year of routine patient documentation (n = 3,373 cases) from a Swiss hospital and predicted the patient clinical complexity level via weighted cumulative logistic regression models. Significant predictors were sex, age, pre-admission residence, admission type, self- care index, pneumonia risk, and number of nursing interventions. The models’ accuracy is limited yet appropriate for applications such as needs- and competence- based staff-planning. After calibration via in-hospital data it could support nursing management in these tasks. The next step is now to test the model in a clinical setting.
Patients’ Perceptions of Using Technology for Self-Reporting Cancer Medication Safety Events from Home
Authors: Gahn Katie , Hwang Misun , Cho Youmin , Mason Heidi , Gong Yang , Jiang Yun
Published: July 2024

Frequent transitions of care among patients with cancer increase their risks for medication safety events (MSEs). Patients and families need to become “vigilant partners” in MSE self-reporting when transitioning back home. However, limited evidence is available to guide patient and family engagement in preventing and managing MSEs. This study explored patients’ perceptions of using technology for MSE self-reporting by interviewing 41 patients with breast, prostate, lung, or colorectal cancer. The findings revealed that patients with cancer perceived technology as convenient and easy to use to address urgent MSE concerns. However, the lack of access to technology and being unconfident in using technology can be barriers to using technology for MSE reporting. Personalized support is needed to facilitate patients’ engagement in MSE self-reporting. Factors identified in the study will further support the user-centered design and development of technology systems that can support patients’ needs and expectations for medication safety.
Navigating Alert Fatigue: A Case Study in Electronic Health Record Alert Design Optimization
Authors: Patterson Erica
Published: July 2024

Clinical decision support (CDS) systems play a crucial role in enhancing patient outcomes, but inadequate design contributes to alert fatigue, inundating clinicians with disruptive alerts that lack clinical relevance. This case study delves into a quality improvement (QI) project addressing nursing electronic health record (EHR) alert fatigue by strategically redesigning four high-firing/low action alerts. Employing a mixed-methods approach, including quantitative analysis, empathy mapping sessions, and user feedback, the project sought to understand and alleviate the challenges posed by these alerts. Virtual empathy mapping sessions with clinical nurses provided valuable insights into user experiences. Qualitative findings, CDS design principles, and organizational practice expectations informed the redesign process, resulting in the removal of all four identified disruptive alerts and redesign of passive alerts. This initiative released 877 unactionable disruptive nursing hours, emphasizing the significance of proper alert design and the necessity for organizational structures ensuring sustained governance in healthcare system optimization.
Using Technology to Improve the Mental Capacity Assessment and Deprivation of Liberty Safeguards Process
Authors: Robertson M.E. , Down S.
Published: July 2024

The process of mental capacity act (MCA) assessment and depravation of liberty safeguarding (DoLS) was identified as an area for improvement. The project aimed to ensure that patients admitted to hospital for care and treatment were appropriately assessed if there is doubt about their mental capacity and that the subsequent legal process of DoLS is followed as needed. The project group sought to address this issue using clinical informatics through the electronic health record and data reports to re-design the process. User involvement was key to ensure the process and key pieces of documentation were designed to be easy for staff to use with responsibilities clearly defined. The importance of operational staff having good visibility of the end-to-end process was key to allow staff to identify and address any gaps in the process in real time without the need for escalation by the safeguarding team. A robust data report further supports the safeguarding team to effectively manage this group of vulnerable patients. The project has significantly increased appropriately the number of MCA assessments undertaken and subsequent DoLS applications submitted to local authority partners.
Supporting Digital Health Integration in a National Curriculum: The New Zealand Experience
Authors: Sadd Roseanne , Collins Emma , Honey Michelle
Published: July 2024

The World Health Organisation considers that digital health can play a vital role in strengthening health systems, including increasing equity in access to health services; however, to realise the benefits of digital health this subject needs to be included in nursing education. In New Zealand the recent establishment of the centralised Te Pūkenga Institute of Skills and Technology allows for the creation of a common unified curriculum for entry to nursing programmes among the community-based tertiary education providers. Expertise to advise on the digital health component of the curriculum was sought from the New Zealand nursing and midwifery informatics group and this group’s contribution is reported here. Delays in implementing the new curriculum means that by the end of 2023 no students had yet graduated, and evaluating their success, combined with research into the students’ preparedness for working in a digital health environment is recommended.
Incorporation of Generative AI in an Introductory Nursing Informatics Course
Authors: Arcia Adriana
Published: July 2024

This case study describes how one educator approached the incorporation of generative AI into a graduate-level introductory nursing informatics course. Policy for acceptable use of generative AI was set separately for each assignment and disclosure of use was included in grading rubrics. Classroom discussions were used to explore issues surrounding generative AI such as trust and ethical concerns. One assignment required the use of a generative AI output to serve as the first draft of patient education material that was then to be improved by the student. In an accompanying reflection, students described their key takeaways from the experience of completing the assignment. The approach for this course was successful in achieving the goal of familiarizing students with the uses, benefits, risks, and ethical implications of using generative AI in the classroom and in healthcare. Opportunities are identified for improvement of assignment instructions.
Navigating the Global Landscape of Nursing Informatics Research Collaboration: A Blueprint for Success
Authors: Dowding Dawn , Bjarnadottir Ragnhidur I. , Cho Hwayoung , Collins Emma , Golz Christoph , Honey Michelle , Hsieh Cha-Jung , Lee Tso-Ying , Lokmic-Tomkins Zerina , Macieira Tamara G.R. , Peltonen Laura-Maria , von Gerich Hanna
Published: July 2024

International collaboration is crucial in the field of nursing informatics research to enhance our ability to conduct globally relevant research that informs policy and practice. In this case study we describe how we have established an international research collaboration to evaluate nurses’ experiences of technology use during the pandemic. We firstly describe how the collaboration was created and the successes associated with our work, before highlighting the facilitators to make an international collaboration work. We also discuss the challenges we have encountered during this collaborative enterprise, to enable other researchers who wish to establish international collaborations and learn from our experiences.
Seldom Heard Voices – Empowering Maternity Services in Wales
Authors: Watkins Anne , Thomas Sian
Published: July 2024

Seldom-heard groups refer to individuals whose voices are often marginalised, underrepresented, or not adequately considered in the digital design process. This case study aims to demonstrate the benefits of taking a user-centred design (UCD) approach to implementing a digital solution for Maternity Services in Wales. Semi-structured interviews were conducted to understand the needs of women and birthing people from seldom-heard groups. The research insights were used to inform the design of a service pattern that could be delivered before and after each maternity appointment. The research shows opportunities to improve the experience for women and birthing people and reduce their anxieties by creating a reliable, accessible digital maternity record that will empower them to make evidence-based decisions. By taking a user-centred design approach and centering the unique needs of those facing the greatest health disparities, Maternity Services’ digital transformation aims to positively impact the health and well-being of women and birthing people in Wales.
The Effectiveness of On-Demand Health Education Systems in Assisting the Nursing Workload
Authors: Wang Yi-Chen , Chen Yu-Kuei , Tsan Chin-Yuan , Chen Meng-Chun
Published: July 2024

This article explores the “On-Demand Health Education System” in healthcare, highlighting its role in enhancing nursing efficiency and quality. Using a database, it allows nurses to provide tailored education via QR codes for patients and families. Key findings show its positive impact on education quality and efficiency, though improvements are needed in user interface and accessibility for certain groups like the elderly. Future enhancements should focus on user experience and expanding accessibility, acknowledging the potential of such systems in medical education with technological advancement.
Construction and Validation of a Standardized Bedside Handover Process and Visual Diagnosis-Symptom System in Emergency
Authors: Lin Xiaonv , Zhang Ran
Published: July 2024

Objectives: To construct and examine the effects of a Standardized Bedside Handover Process and Visual Diagnosis-symptom System. Methods: According to the application of standardized procedure and Diagnosing-symptom System, we divided three groups: control group, process group and process + visualization group. Study outcomes included nursing handover practices and patient bedside nursing handover satisfaction, which were measured by the Chinese version of Nursing Assessment of Shift Report (NASR) and the Patients Views on Nursing Care with implementation bedside report (PVNC-BR), respectively.The effects were estimated using t-test and ANOVA. Results: Compared with the control group, NASR and PVNC-BR scores of the process group and the process + visualization group were significantly higher. Conclusions: Standardized process for bedside handover and the application of visual diagnosis-symptom libraries could improve the quality of nursing bedside handover in emergency observation room.
Systems for Identification and Location of Items at Scale: Study of Scan4Safety in Leeds Hospitals
Authors: Lichtner Valentina , Irnazarow Aleksandra , Johnson Owen , Bush Stephen , Macmillan Stuart , Songhurst Mark
Published: July 2024

Hospitals improve safety and workflow efficiency by implementing systems for identification of items and patients. Little is known about the implementation of these systems across entire hospitals. The aim of this study is to identify challenges and enablers of adoption of such systems at scale, within a hospital organisation and across the English NHS. The focus is on the experience of the Scan4Safety project at Leeds Teaching Hospital NHS Trust (UK). Study methods are qualitative and include interviews with staff and review of documents. This poster paper presents preliminary findings of research in progress.
Project RENEW: A Nursing Informatics Led Initiative to Reduce Documentation Burden
Authors: Carroll Chad B. , Altounian Jennifer , Arnold Lea Ann , Janeway Lisa , Milarski Ingrid , Stahl Karolyn
Published: July 2024

Documentation burden within the United States has grown to unprecedented proportions. Poor usability of the electronic health record has been identified as one of the root causes of documentation burden. By using a structured review process, the nursing informatics team at Northwestern Medicine Healthcare identified opportunities for improved usability. Solutions were generated and proposed to a team of nurse experts for review and approval. The approved solutions were implemented into the electronic health record through this efficient and agile process. Project RENEW impacted documentation burden by reducing unnecessary nursing tasks, improving usability of flowsheets, and reducing clicks to complete documentation.
The Role of Health Information Technology During Hospital to Home Transitions
Authors: You Sang Bin , Stawnychy Michael A. , Song Jiyoun , Bowles Kathryn H.
Published: July 2024

The use of healthcare information technology (HIT) is vital for storing and exchanging health information during patient transitions, playing a significant role in care coordination for sepsis survivors. The critical role of HIT was evident during the pre-implementation phase of a study to implement an evidence-based protocol supporting the timely transition of sepsis survivors to home health and outpatient care. Through 61 semi-structured interviews involving 91 stakeholders, over half of the 33 identified themes were related to HIT. Notably, electronic health record (EHR) alert systems led to over-capture and alarm fatigue. Efficient information transfer during HHC referral highlighted the need for improved EHR access. The study underscores HIT’s importance and potential while emphasizing the need for collaborative policy and interface development to promote effective transitions in care.
Development and Testing of an Instrument to Measure the Impact of EHR Use on Quality of Care
Authors: Maillet Éric , Currie Leanne M. , Strudwick Gillian , Dubé Véronique
Published: July 2024

There is an increased adoption of electronic health records (EHR) motivated by many purported benefits, yet limited research has explored their impact on quality of care. We developed and tested a multidimensional measure of quality of care in relation to EHR use. 234 nurses completed a cross-sectional survey. The score of the quality of care construct reached 0.92. Four subdimensions were identified: technology impact on nursing practice, learning and improvement capability, transition accountability, and fault responsibility. The instrument has potential to advance our understanding of the impact of EHR use on quality of care.
The Evolution of the Hive Educator Role
Authors: Kuttiyil Jacob S. , Boyd Z. , Lecis S. , Carroll C.
Published: July 2024

The evolution of a digitally focused clinical educator in Adult Critical Care Units at Manchester Foundation Trust (MFT), has been pivotal to the success and support of Nursing staff. The role has grown beyond what was initially managed to support services widely.
Nursing Undergraduates’ Perceptions of Nursing Informatics Courses
Authors: Liu Jialin , Wu Shuaiqi , Liu Siru
Published: July 2024

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.
Effect of PBL-INP Education on Nursing Process Confidence and Critical Thinking Deposition Among Nursing Students
Authors: Seo Yon Hee , Lim Sun Og
Published: July 2024

Problem-based learning (PBL) plays a pivotal role in improving the clinical competency of nursing students. We identified the effect of PBL-integrative nursing process (PBL-INP) education on teamwork, problem-solving ability, confidence in nursing process, and critical thinking disposition among nursing students.This study used a one-group pre–post-test design to verify the effects of the program. Participants were 78 second-year students from a nursing school located in Chungcheong-do, South Korea. The program was performed for eight weeks from May 1 to June 23, 2023. There were significant differences in teamwork (t = 3.76, p < .001) and problem-solving ability (t = 2.27, p = .025) before and after the PBL-INP. There was a significant difference in the confidence in the nursing process (t = 6.09, p < .001) and critical thinking disposition (t = 2.46, p = .016) before and after the intervention. The PBL-INP was effective in improving teamwork, problem-solving ability, confidence in nursing process, and clinical thinking disposition among second-year nursing students.: The PBL-INP was an effective educational method, and this study provides basic data to improve nursing students’ nursing process learning ability.
Effectiveness of Using Clinical Decision Support System in Nursing Records
Authors: Tsan Chin-Yuan , Tsai Ching-Mei , Wang Yi-Chen
Published: July 2024

This study evaluates the impact of Clinical Decision Support System (CDSS) integration into the Nursing Information System 2.0 on nursing records and nurse satisfaction. Longitudinal data collection employs questionnaires and nursing records audits. Findings show improved electronic signature integration and nursing problem identification, benefiting real-time patient information access and record completeness. Younger, less experienced, highly educated nurses exhibit higher CDSS usage and acceptance. Overall, 80.2% agreement rate confirms CDSS’s positive impact, highlighting the importance of user effectiveness evaluation in system implementation for nursing innovation.
Revolutionizing Oxygen Delivery: The Adjustable Oxygen Adapter for Uninterrupted Therapy and Enhanced Patient Safety
Authors: Wang You-Ping , Tsao Hsin-Yi
Published: July 2024

This study introduces the “Adjustable Oxygen Adapter,” designed to address interruptions in oxygen supply for patients transitioning from oxygen spray bottles, particularly in wards with single-outlet flowmeters. Inspired by the “Three-Way Piston Rotating Adapter,” this innovative design, operated by a single switch, ensures uninterrupted oxygen supply during equipment changes. Stability testing, conducted with a flow monitor by a respiratory therapist, confirms that the adapter provides a stable flow rate and oxygen concentration, offering a practical solution for seamless transitions between oxygen devices in clinical settings.
Nurses’ Perspectives on ChatGPT: A Survey Study
Authors: Liu Jialin , Peng Shuxian , Liu Siru
Published: July 2024

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.
Perception of ChatGPT by Nursing Undergraduates
Authors: Liu Jialin , Wu Shuaiqi , Liu Siru
Published: July 2024

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.