Technological Challenges and Solutions in Emergency Remote Teaching for Nursing: An International Cross-Sectional Survey.

OBJECTIVES: With the sudden global shift to online learning modalities, this study aimed to understand the unique challenges and experiences of emergency remote teaching (ERT) in nursing education. METHODS: We conducted a comprehensive online international cross-sectional survey to capture the current state and firsthand experiences of ERT in the nursing discipline. Our analytical methods included a combination of traditional statistical analysis, advanced natural language processing techniques, latent Dirichlet allocation using Python, and a thorough qualitative assessment of feedback from open-ended questions. RESULTS: We received responses from 328 nursing educators from 18 different countries. The data revealed generally positive satisfaction levels, strong technological self-efficacy, and significant support from their institutions. Notably, the characteristics of professors, such as age (p = 0.02) and position (p = 0.03), influenced satisfaction levels. The ERT experience varied significantly by country, as evidenced by satisfaction (p = 0.05), delivery (p = 0.001), teacher-student interaction (p = 0.04), and willingness to use ERT in the future (p = 0.04). However, concerns were raised about the depth of content, the transition to online delivery, teacher-student interaction, and the technology gap. CONCLUSIONS: Our findings can help advance nursing education. Nevertheless, collaborative efforts from all stakeholders are essential to address current challenges, achieve digital equity, and develop a standardized curriculum for nursing education.

Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence.

BACKGROUND: Research on technologies based on artificial intelligence in healthcare has increased during the last decade, with applications showing great potential in assisting and improving care. However, introducing these technologies into nursing can raise concerns related to data bias in the context of training algorithms and potential implications for certain populations. Little evidence exists in the extant literature regarding the efficacious application of many artificial intelligence -based health technologies used in healthcare. OBJECTIVES: To synthesize currently available state-of the-art research in artificial intelligence -based technologies applied in nursing practice. DESIGN: Scoping review METHODS: PubMed, CINAHL, Web of Science and IEEE Xplore were searched for relevant articles with queries that combine names and terms related to nursing, artificial intelligence and machine learning methods. Included studies focused on developing or validating artificial intelligence -based technologies with a clear description of their impacts on nursing. We excluded non-experimental studies and research targeted at robotics, nursing management and technologies used in nursing research and education. RESULTS: A total of 7610 articles published between January 2010 and March 2021 were revealed, with 93 articles included in this review. Most studies explored the technology development (n = 55, 59.1%) and formation (testing) (n = 28, 30.1%) phases, followed by implementation (n = 9, 9.7%) and operational (n = 1, 1.1%) phases. The vast majority (73.1%) of studies provided evidence with a descriptive design (level VI) while only a small portion (4.3%) were randomised controlled trials (level II). The study aims, settings and methods were poorly described in the articles, and discussion of ethical considerations were lacking in 36.6% of studies. Additionally, one-third of papers (33.3%) were reported without the involvement of nurses. CONCLUSIONS: Contemporary research on applications of artificial intelligence -based technologies in nursing mainly cover the earlier stages of technology development, leaving scarce evidence of the impact of these technologies and implementation aspects into practice. The content of research reported is varied. Therefore, guidelines on research reporting and implementing artificial intelligence -based technologies in nursing are needed. Furthermore, integrating basic knowledge of artificial intelligence -related technologies and their applications in nursing education is imperative, and interventions to increase the inclusion of nurses throughout the technology research and development process is needed.

Description of the Process to Validate the Mexican Nurse Informatics Competency Self-Assessment Scale.

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.

Nursing Informatics Research Trends: Findings from an International Survey.

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.

Emergency Remote Learning in Nursing Education During the COVID-19 Pandemic.

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.

Emerging Professionals' Observations of Opportunities and Challenges in Nursing Informatics.

The importance of nursing informatics (NI) is highlighted because of changing healthcare landscapes in response to rising digital health and technology integration and use. However, NI education, competency requirements and roles are not standardized across the world, and the potential of NI is modestly understood internationally. This paper explores opportunities and challenges in NI discussed in a panel at the 14th International Congress on Nursing and Allied Health Informatics. The panel was organized by the International Medical Informatics Association's - Nursing Informatics Working Group's Student and Emerging Professionals group. Discussions during the panel session were synthesized and analyzed using content analysis. Results indicate that challenges in NI education, career opportunities and roles continue to exist across healthcare settings and regions. Findings suggest that the following issues need attention: (1) collaboration to build stronger infrastructure to guide NI education, research and practice; (2) improved visibility and appreciation of NI; and (3) greater dissemination of evidence of NI in various health settings. This paper offers recommendations for nurse leaders on strategies to address these issues in NI at the local, regional and global levels.

The influence of patient-clinician ethnocultural and language concordance on continuity and quality of care: a cross-sectional analysis.

BACKGROUND: Concordance refers to shared characteristics between a clinician and patient, such as ethnicity or language. The purpose of this study was to examine whether patient-clinician concordance is associated with patient-reported continuity of care (relational, informational and management) and patient-reported impacts of care (quality and empowerment). METHODS: This is a secondary analysis of cross-sectional patient surveys that were administered across British Columbia, Manitoba and Quebec using random digit dialling. Participants were adults who spoke English, French, Mandarin, Cantonese or Punjabi and who had visited a primary care clinician in the previous 12 months (n = 3156). Patients self-identified as being of European, Chinese, South Asian and Indigenous descent. Outcome measures included patients' perceptions of continuity, quality and empowerment. Adjusted logistic regression models and odds ratio were generated. RESULTS: More than 64% of non-Indigenous respondents reported ethnocultural concordance. Ethnocultural concordance was associated with higher odds of relational and management continuity. This same pattern held when there was both ethnocultural and language concordance. No association was found between language concordance and any outcome measure. Chinese participants reported lower quality (odds ratio [OR] 0.24, 95% confidence interval [CI] 0.12-0.48), as did South Asian participants (OR 0.17, 95% CI 0.09-0.31) than did participants of European descent. INTERPRETATION: Higher relational and management continuity is more likely with the presence of patient-clinician ethnocultural and language concordance. Lower continuity and quality reported by Chinese and South Asian particpants could indicate important health care disparities.

Building Capacity in Student and Emerging Nursing Informatics Professionals Through Participation in an International Community of Practice.

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.

Competency Recommendations for Advancing Nursing Informatics in the Next Decade: International Survey Results.

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.