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This study investigates the evolving landscape of nursing informatics by conducting a follow-up survey initiated by the International Medical Informatics Association (IMIA) Students and Emerging Professionals (SEP) Nursing Informatics (NI) group in 2015 and 2019. The participants were asked to describe what they thought should be done in their institutions and countries to advance nursing informatics in the next 5-10 years. For this paper, responses in English acquired by December 2023 were analysed using inductive content analysis. Identified needs covered a) recognition and roles, b) educational needs, c) technological needs, and d) research needs. The initial findings indicate that, despite significant progress in nursing informatics, the current needs closely mirror those identified in the 2015 survey. [ABSTRACT FROM AUTHOR]

This paper explores the balance between fairness and performance in machine learning classification, predicting the likelihood of a patient receiving antimicrobial treatment using structured data in community nursing wound care electronic health records. The data includes two important predictors (gender and language) of the social determinants of health, which we used to evaluate the fairness of the classifiers. At the same time, the impact of various groupings of language codes on classifiers' performance and fairness is analyzed. Most common statistical learning-based classifiers are evaluated. The findings indicate that while K-Nearest Neighbors offers the best fairness metrics among different grouping settings, the performance of all classifiers is generally consistent across different language code groupings. Also, grouping more variables tends to improve the fairness metrics over all classifiers while maintaining their performance. [ABSTRACT FROM AUTHOR]

This scoping review examines the concept of trust in nursing and its potential application in developing trustworthy Artificial Intelligence (AI) for healthcare. Recognizing nurses as highly trusted professionals, the study explores how attributes contributing to trust in nursing can inform AI development. Following the Joanna Briggs Institute framework, the review synthesizes literature on patients' perceptions of nurses' trustworthiness and compares these with desired qualities in trustworthy AI. Preliminary findings suggest that nursing's trust-inducing actions could offer valuable insights for implementing trust-enhancing features in AI. This approach aims to bring innovative insights into the nature of trust and contribute to creative solutions to develop trustworthy AI in healthcare. By aligning AI development with principles of trust observed in nursing, the review proposes novel strategies for creating more ethical and accepted AI systems in healthcare settings. [ABSTRACT FROM AUTHOR]

We evaluate the performance of multiple text classification methods used to automate the screening of article abstracts in terms of their relevance to a topic of interest. The aim is to develop a system that can be first trained on a set of manually screened article abstracts before using it to identify additional articles on the same topic. Here the focus is on articles related to the topic "artificial intelligence in nursing". Eight text classification methods are tested, as well as two simple ensemble systems. The results indicate that it is feasible to use text classification technology to support the manual screening process of article abstracts when conducting a literature review. The best results are achieved by an ensemble system, which achieves a F1-score of 0.41, with a sensitivity of 0.54 and a specificity of 0.96. Future work directions are discussed. [ABSTRACT FROM AUTHOR]

Wound infection is a serious health care complication. Standardized clinical terminologies could be leveraged to support the early identification of wound infection. The purpose of this study was to evaluate the representation of wound infection assessment and diagnosis concepts (N=26) in SNOMED CT and ICNP, using a synthesized procedural framework. A total of 13/26 (50%) assessment and diagnosis concepts had exact matches in SNOMED CT and 2/7 (29%) diagnosis concepts had exact matches in ICNP. This study demonstrated that the source concepts were moderately well represented in SNOMED CT and ICNP; however, further work is necessary to increase the representation of diagnostic infection types. The use of the framework facilitated a systematic, transparent, and repeatable mapping process, with opportunity to extend. [ABSTRACT FROM AUTHOR]

This follow-up survey on trends in Nursing Informatics (NI) was conducted by the International Medical Informatics Association (IMIA) Student and Emerging Professionals (SEP) group as a cross-sectional study in 2019. There were 455 responses from 24 countries. Based on the findings NI research is evolving rapidly. Current ten most common trends include: clinical quality measures, clinical decision support, big data, artificial intelligence, care coordination, education and competencies, patient safety, mobile health, description of nursing practices and evaluation of patient outcomes. The findings help support the efforts to efficiently use resources in the promotion of health care activities, to support the development of informatics education and to grow NI as a profession. [ABSTRACT FROM AUTHOR]

Nurses' use of mHealth remains largely unexplored despite enthusiasm for its use in health systems. We conducted a survey (n=341) to examine nurses' use of mHealth technologies in Canada; this paper presents findings of sub questions within a larger study. Differences in common mHealth functions used by nurses were examined by population setting (large urban centre, medium centre, small centre, and rural area) and type of organization (hospital, community health, nursing home or long-term care, and other). A significant difference by population setting was found in the use of the mHealth functions to support decision making. Significant differences by type of organization were found in the use of the mHealth functions for care plans, outside communication, general/basic documentation, accessing information resources, and 'other' functions. Results from this study are the first to provide details of the current state and nature of nurses' use of mHealth. [ABSTRACT FROM AUTHOR]

Due to the corona (COVID-19) pandemic, several countries are currently conducting non-face-to-face education. Therefore, teachers of nursing colleges have been carrying out emergency remote education. This study developed a questionnaire to understand the status of Emergency Remote Learning (ERL) in nursing education internationally, translated it into 7 languages, and distributed it to 18 countries. A total of 328 nursing educators responded, and the most often used online methods were Social networking technology such as Facebook, Google+ and Video sharing platform such as YouTube. The ERL applied to nursing education was positively evaluated as 3.59 out of 5. The results of the study show that during the two semesters nursing college professors have well adapted to this unprecedent crisis of teaching. The world after COVID-19 has become a completely different place, and nursing education should be prepared for 'untact' education. [ABSTRACT FROM AUTHOR]

Technological development has enabled Artificial Intelligence (AI) to better support health care delivery and nursing. The need for nurses to be involved and steer the development and implementation of AI in health care is recognized. A 60-minute scientific debate is organized to explore if AI will replace nursing. [ABSTRACT FROM AUTHOR]

An overview of the rapid and diverse number developments in health information technologies (HIT) in recent years are described in this chapter and the move towards more integrated and connected health is described. The evolution of HIT is described as it has increased in complexity, diversity, connectivity, and more recently, the move towards multiple modalities. Examples of developments in various settings are represented from clinical settings, at home, and in low-resource settings. The implications of the move towards multiple modalities for nursing competencies and the move towards personalized and connected health are discussed, highlighting important areas for consideration and development in the future. [ABSTRACT FROM AUTHOR]

The IMIA-NIstudents' and emerging professionals' working group conducted a large international survey in 2015 regarding research trends in nursing informatics. The survey was translated into half-a-dozen languages and distributed through 18 international research collaborators' professional connections. The survey focused on the perspectives of nurse informaticians. A total of 272 participants responded to an open ended question concerning recommendations to advance nursing informatics. Five key areas for action were identified through our thematic content analysis: education, research, practice, visibility and collaboration. This chapter discusses these results with implications for nursing competency development. We propose how components of various competency lists might support the key areas for action. We also identify room to further develop existing competency guidelines to support in-service education for practicing nurses, promote nursing informatics visibility, or improve and facilitate collaboration and integration with other professions. [ABSTRACT FROM AUTHOR]

Adoption of new health information technology is shown to be challenging. However, the degree to which new technology will be adopted can be predicted by measures of usefulness and ease of use. In this work these key determining factors are focused on for design of a wound documentation tool. In the context of wound care at home, consistent with evidence in the literature from similar settings, use of Speech Recognition Technology (SRT) for patient documentation has shown promise. To achieve a user-centred design, the results from a conducted ethnographic fieldwork are used to inform SRT features; furthermore, exploratory prototyping is used to collect feedback about the wound documentation tool from home care nurses. During this study, measures developed for healthcare applications of the Technology Acceptance Model will be used, to identify SRT features that improve usefulness (e.g. increased accuracy, saving time) or ease of use (e.g. lowering mental/physical effort, easy to remember tasks). The identified features will be used to create a low fidelity prototype that will be evaluated in future experiments. [ABSTRACT FROM AUTHOR]

We present one part of the results of an international survey exploring current and future nursing informatics (NI) research trends. The study was conducted by the International Medical Informatics Association Nursing Informatics Special Interest Group (IMIA-NISIG) Student Working Group. Based on findings from this cross-sectional study, we identified future NI research priorities. We used snowball sampling technique to reach respondents from academia and practice. Data were collected between August and September 2015. Altogether, 373 responses from 44 countries were analyzed. The identified top ten NI trends were big data science, standardized terminologies (clinical evaluation/implementation), education and competencies, clinical decision support, mobile health, usability, patient safety, data exchange and interoperability, patient engagement, and clinical quality measures. Acknowledging these research priorities can enhance successful future development of NI to better support clinicians and promote health internationally. [ABSTRACT FROM AUTHOR]

In the summer of 2015, the International Medical Informatics Association Nursing Informatics Special Interest Group (IMIA NISIG) Student Working Group developed and distributed an international survey of current and future trends in nursing informatics. The survey was developed based on current literature on nursing informatics trends and translated into six languages. Respondents were from 31 different countries in Asia, Africa, North and Central America, South America, Europe, and Australia. This paper presents the results of responses to the survey question: "What should be done (at a country or organizational level) to advance nursing informatics in the next 5-10 years?" (n responders=272). Using thematic qualitative analysis, responses were grouped into five key themes: 1) Education and training; 2) Research; 3) Practice; 4) Visibility; and 5) Collaboration and integration. We also provide actionable recommendations for advancing nursing informatics in the next decade. [ABSTRACT FROM AUTHOR]

Nurses need to have sufficient competencies in nursing informatics to be able to provide safe and efficient care. The Self-Assessment of Nursing Informatics Competencies Scale (SANICS) has been developed and validated as a self-report measure of informatics competencies in Western settings. In this work, we describe the ongoing study that aims to validate and translate SANICS into the Mexican setting. [ABSTRACT FROM AUTHOR]

Canada is the second largest landmass country in the world, but has one of the lowest population densities. As of 2011, approximately 19% of the Canadian population lives in rural, or remote communities. The purpose of this study was to examine differences in rural and urban access to the Internet and device use in Canada, and to explore differences in access to broadband between Aboriginal and non-Aboriginal communities in Canada. In general rural-dwellers had lower levels of Internet access and despite efforts to increase access to high speed Internet, Aboriginal communities in some regions have limited access. Future research should explore computer and health literacy in the context of rural and remote communities in Canada. [ABSTRACT FROM AUTHOR]

Objective: This panel will explore expert perspectives on what is needed to advance nursing informatics (NI) based on results of an international survey conducted by the IMIA-NISIG Student Group in 2015. This panel will build on results of the survey's thematic analysis findings, highlighting: research, practice, education, collaboration, and visibility, as key areas needing action. Scope: Each expert panelist will speak to one of the identified themes in the context of the survey results. Each panelist will then provide perspectives on additional areas of opportunities, potential challenges, and offer actionable recommendations. Target audience: nursing informatics leaders, educators, policymakers, researchers, clinicians, students. [ABSTRACT FROM AUTHOR]

Nursing informatics (NI) can help provide effective and safe healthcare. This study aimed to describe current research trends in NI. In the summer 2015, the IMIA-NI Students Working Group created and distributed an online international survey of the current NI trends. A total of 402 responses were submitted from 44 countries. We identified a top five NI research areas: standardized terminologies, mobile health, clinical decision support, patient safety and big data research. NI research funding was considered to be difficult to acquire by the respondents. Overall, current NI research on education, clinical practice, administration and theory is still scarce, with theory being the least common. Further research is needed to explain the impact of these trends and the needs from clinical practice. [ABSTRACT FROM AUTHOR]

Rapid prototyping is an iterative approach to design involving cycles of prototype building, review by end-users and refinement, and can be a valuable tool in user-centered website design. Informed by various user-centered approaches, we used rapid prototyping as a tool to collaborate with users in building a peer-support focused smoking-cessation website for gay men living with HIV. Rapid prototyping was effective in eliciting feedback on the needs of this group of potential end-users from a smoking cessation website. [ABSTRACT FROM AUTHOR]

Leadership is consistently identified as an important factor that influences nurses' adoption of health information technologies, yet, the concept of leadership remains underdeveloped. Our study examines the influence of leadership on nurses' mHealth usage outcomes. Informed by diverse fields, we developed the MOBILE Nurse conceptual model as a way to empirically explore relationships between leadership and other factors commonly thought to influence mHealth usage in nursing. [ABSTRACT FROM AUTHOR]

In nursing, a community of practice have been recognized as an important construct to build capacity and support knowledge dissemination activities. The purpose of this poster is to use a community of practice framework to describe the collaborative work of an international nursing informatics, graduate student and emerging professional group. [ABSTRACT FROM AUTHOR]