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Nursing informatics competency has crucial functions in the development of a hospital and patient safety. On the basis of the theory of self-concept, there has been an inadequate study of the influence of transformational leadership on nursing informatics competency mediated by innovation self-efficacy. A descriptive correlational research design was conducted for 586 Chinese nurses from five public hospitals. The measurements were obtained from a questionnaire on transformational leadership, nursing informatics competency, innovation self-efficacy, and a sociodemographic datasheet. We identified a positive correlation between transformational leadership and nursing informatics competency. Innovation self-efficacy had a mediating effect. Managers need to provide measures to shape their transformational leadership style and promote innovation self-efficacy of nurses, which enhances nursing informatics competency of nurses.The use of computerized decision support systems (DSS) in nursing practice is increasing. However, research about who uses DSS, where are they implemented, and how they are linked with standards of nursing is limited. This paper presents evidence on users and settings of DSS implementation, along with specific nursing standards of practice that are facilitated by such DSS. We searched six bibliographic databases using relevant terms and identified 28 studies, each evaluating a unique DSS. Of these, 24 were used by registered nurses and 19 were implemented in short-term care units. Most of the DSS were found to facilitate nursing standards of assessment and intervention, however, outcome identification and evaluation were the least included standards. These findings not only highlight gaps in systems but also offer opportunities for further research development in this area.The use of health information technology (HIT) in acute care had an unexpected impact on nursing workflow. It often took a nurse extra steps or extra time to complete a process once documentation and medication administration was automated. In response to HIT problems, nurses developed workarounds. Research on workarounds has been hindered by a lack of variable definitions and research models. This paper presents results of a mixed methods study that proposes definitions for workarounds, associated variables and a multi-level model.Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interaction through text or voice. This paper describes a series of design considerations for integrating chatbots interfaces with health services. The present paper is part of ongoing work that explores the overall implementation of chatbots in the healthcare context. The findings have been created using a research through design process, combining (1) literature survey of existing body of knowledge on designing chatbots, (2) analysis on state-of-the-practice in using chatbots as service interfaces, and (3) generative process of designing a chatbot interface for depression screening. In this paper we describe considerations that would be useful for the design of a chatbot for a healthcare context.The advent of configurable software has shifted the implementation of software solutions from total reliance on software developers to towards increased participation of end-users. End-users are now able to create software solutions without the need for writing code but through configuration and customisation. Despite the increasing use of configurable software challenges on designing the software platform architecture, process of testing and usability exists in configurable software. The research aimed at evaluating how available interface elements influence usability in DHIS2. Empirical data was collected by studying the design of custom data collection forms for routine health data collection with two groups of users. 80% and 90% were recorded as completion rates of the designed task and overall efficiency of 86.23% and 89.94% was achieved between the two groups. Lack of relevant editing features, increased distance between related objects, lack of conformity to Keep It Simple, Stupid (KISS) and minimalistic design principle were found to be the major challenges affecting the usability.Complexity and domain-specificity make medical text hard to understand for patients and their next of kin. To simplify such text, this paper explored how word and character level information can be leveraged to identify medical terms when training data is limited. We created a dataset of medical and general terms using the Human Disease Ontology from BioPortal and Wikipedia pages. Our results from 10-fold cross validation indicated that convolutional neural networks (CNNs) and transformers perform competitively. The best F score of 93.9% was achieved by a CNN trained on both word and character level embeddings. Statistical significance tests demonstrated that general word embeddings provide rich word representations for medical term identification. Consequently, focusing on words is favorable for medical term identification if using deep learning architectures.Missed medication doses can affect patient safety in hospitals. The use of automated dispensing cabinets (ADC) in clinical areas may reduce the occurrence of medications being unavailable at the time of need by alerting pharmacy to replenish stock. However, workarounds in ADC use can affect this capability. We studied nurses' use of an ADC in a paediatric intensive care unit with 54 hours of observation, semi-structure interviews (19 nurses; 4 pharmacy/management staff) and review of reported incidents. We found running out of medication a recurrent problem despite the ADC. Contributing factors affecting data entry in the ADC, and therefore replenishment alerts to pharmacy, included the organisation of medication activities in the ward, nurses' information needs, patients' medication needs, and ADC design. Trilaciclib price Running out of medications was a 'tragedy of the commons'. Effective solutions may require going beyond user training and directives for accurate data entry, to work process redesign.User interface evaluation has become important in developing usable health care technologies. Although usability engineering methods have been applied in the design and evaluation of health care software, available heuristics focus on task-work aspects and do not address stigma associated with many health conditions. We used a previous set of heuristics and propose a new set of anti-stigma heuristics to evaluate stigmatization in health care websites. The extended set of heuristics were concurrently applied in a heuristic evaluation and a cognitive walkthrough to evaluate an endometriosis and sexual pain website. The walkthrough involved 5 tasks that required 21 actions to execute. Twenty-six usability problems were identified and recommendations for re-design were made to the design team before end-user testing. The anti-stigma heuristics received worse ratings than the traditional heuristics, resulting in several design changes that might otherwise have been missed. Thus, the new anti-stigma heuristics were a valuable contribution.Globally, the term person-centred care has become all-pervasive across healthcare delivery. It has been suggested that it has become synonymous with good quality care. The term is used frequently in the aims and objectives for healthcare service and provision, although what lies behind the rhetoric in terms of practice may be questionable. Further, in an environment which is becoming increasingly dependent on technology, the interaction needs the user experience of both consumer and healthcare provider. There is a challenge as national surveys of health professionals continue to criticize the usability of digital health interfaces. This panel discussion aims to highlight the factors, which should be considered when designing health information interfaces as person-centred for all users. Drawing on our panel's expertise, we suggest interfaces need to consider two main factors personalization and user acceptance.As digitisation continues to increase across Australian health services, the nursing profession has focused on analysing and measuring the way care is provided to the patients. Focus on optimising nursing workflows and improved care delivery has presented challenges but this is now demonstrating improvements in patient care outcomes and time for care.Patient safety is a fundamental aspect of the quality of healthcare and there is a growing interest in improving safety among healthcare stakeholders in many countries. The Korean government recognized that patient safety is a threat to society following several serious adverse events, and so the Ministry of Health and Welfare of the Korean government set up the Patient Safety Act in January 2015. This study analyzed text data on patient safety collected from web-based, user-generated documents related to the legislation to see if they accurately represent the specific concerns of various healthcare stakeholders. We adopted the unsupervised natural language processing method of probabilistic topic modeling and also Latent Dirichlet Allocation. The results showed that text data are useful for inferring the latent concerns of healthcare consumers, providers, government bodies, and researchers as well as changes therein over time.During the COVID-19 pandemic, the OpenNotes movement presents an optimal solution for virtual engagement through the sharing of clinical notes within mental health care settings. Therefore, we conducted interviews to discover how mental health clinicians interact with patients using OpenNotes. We integrated The Consolidated Framework for Intervention Research to establish implementation recommendations. As both challenges and opportunities were identified, future research should address challenges to foster patient and clinician engagement in sharing clinical notes.This study aims to identify research themes and hotspots in nursing informatics over the past decade. We retrieved literature published from the Web of Science Core Collection (WoSCC) between 2009 and 2018. The study identified four research themes by co-word analysis. Four clusters of keyword reflect four research themes in the field. The results will help researchers understanding the research themes of nursing informatics.The purpose of this study is to understand the state of the literature on nursing informatics education in Mainland China. We used the CNKI database (China National Knowledge Infrastructure) to extract all papers of nursing informatics education from 2009 to 2018. 20 high-frequency keywords, a co-word matrix, and three research themes were conducted on the 18 papers. These results can be used to improve our understanding of nursing informatics education in Mainland China.The purpose of this study was to investigate the perceptions of nursing managers about adopting nursing practices based on the Internet of Things and to examine related ethical issues. Questionnaires were sent to 538 nursing managers in Japan, with 131 responses. Of these, 87% and 33% agreed that a system using radio frequency identifiers would be useful for locating patients and nurses, respectively, 58%-81% recognized the value for patient safety of various camera systems for nursing observation, such as cameras linked to biometric alarms, 73% agreed the usefulness of automatically prioritizing alarms, but only around 39% were in favor of using facial recognition to help nursing observation. Many nursing managers expressed concerns about privacy. Data storage for at least 6 months was supported by 53% for location data and 41% for ceiling camera videos. Thus, nursing practice based on the Internet of Things is widely accepted in Japan.