{"title":"Designing a Video-based Remote Clinical Consultation Simulation With Artificial Intelligence-based Communication Detection: Perspectives From Health Care Professionals and Educators.","authors":"Rasmus Kyyhkynen, Laura-Maria Peltonen, Jouni Smed","doi":"10.1097/CIN.0000000000001427","DOIUrl":"10.1097/CIN.0000000000001427","url":null,"abstract":"<p><p>The aim of this research is to gather and analyze design ideas for a video-based remote clinical consultation application that uses AI to detect communication elements, such as nonverbal cues, during simulated consultations. The application is intended for use by health professions students and professionals in simulation-based training to develop nonverbal communication and video consultation skills. It provides feedback based on predefined rules applied to communication detected by AI. We conducted semi-structured interviews with 11 health care professionals and educators to explore their perspectives on video consultations, telehealth training in health professions education, and the methods used to teach nonverbal communication in these programs. The interview data were analyzed using inductive thematic analysis. The findings present key themes that can be used to inform design decisions for simulated video consultation situations, automated recognition of nonverbal communication in video consultation simulation, and feedback derived from it. We found that more objective measures of communication skills could enhance health professions education simulations. In addition, automatic feedback should focus on highlighting positive aspects of communication, limit low-level detail, and provide contextual information to support reflection. Finally, incorporating emotionally charged scenarios is valuable for teaching nonverbal communication skills.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145726449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jennifer Gunberg Ross, Gail E Furman, Eleanor Latz, Sherry A Burrell
{"title":"The Effect of Generative Artificial Intelligence Simulation on First-Year Baccalaureate Nursing Students' Therapeutic Communication Skill.","authors":"Jennifer Gunberg Ross, Gail E Furman, Eleanor Latz, Sherry A Burrell","doi":"10.1097/CIN.0000000000001401","DOIUrl":"10.1097/CIN.0000000000001401","url":null,"abstract":"<p><p>Therapeutic communication is an essential nursing skill to foster nurse-patient relationships. Prelicensure nursing students experience anxiety when communicating with patients, which can impact performance. Generative artificial intelligence is a new method of simulation that offers an opportunity for nursing students to practice therapeutic communication in a safe environment. The purposes of this study were to explore: (1) the effect of generative artificial intelligence simulation on first-year baccalaureate nursing students' therapeutic communication skill; and (2) first-year baccalaureate nursing students' perceptions of using generative artificial intelligence simulation to practice therapeutic communication. Participants in the experimental group engaged in 2 virtual generative artificial intelligence simulation scenarios focused on therapeutic communication through the SimConverse platform. Findings from this study revealed nonstatistically significant higher therapeutic communication skill among students who engaged in generative AI simulation versus those who did not. Qualitative data revealed 3 themes: (1) realism, (2) practice without pressure, and (3) feedback. Given the limited, conflicting empirical findings available related to generative AI simulation and therapeutic communication among prelicensure nursing students, additional research is needed in this area. Moreover, nursing faculty need instruction on artificial intelligence to adequately train generative artificial intelligence models for appropriate use in nursing education.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145726454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benjamin J Galatzan, Tonya Judson, Holly Earnest, Caroline Beth Littleton
{"title":"Integrating Digital Health Literacy into Undergraduate Nursing Education: A Case-based Intervention Study.","authors":"Benjamin J Galatzan, Tonya Judson, Holly Earnest, Caroline Beth Littleton","doi":"10.1097/CIN.0000000000001402","DOIUrl":"10.1097/CIN.0000000000001402","url":null,"abstract":"<p><p>In the evolving landscape of health care, digital health literacy has emerged as a core competency for nurses. This study explored the impact of a case-based learning intervention on digital health literacy, confidence, and satisfaction among undergraduate nursing students. A quasi-experimental pretest-posttest design was implemented with 54 students enrolled in a Bachelor of Science in Nursing program. Participants were randomly assigned to a control group (without digital resource access) or an intervention group (with access to Lippincott Advisor during a clinical case study). Data were collected using preintervention and postintervention surveys assessing confidence, familiarity, satisfaction, and perceived challenges. Quantitative data were analyzed using descriptive statistics and Mann-Whitney U tests, while qualitative data underwent thematic analysis. Findings revealed that students in the intervention group reported significantly higher levels of confidence ( P < .001) and familiarity ( P = .0043) in using digital health tools compared to controls. However, no significant differences were observed in ease of use, satisfaction, or information-seeking ability. Qualitative responses highlighted persistent barriers, including navigation difficulties, limited content relevance, and technical issues such as access restrictions. Despite these challenges, many students expressed a desire for continued exposure to digital resources. The results support the integration of digital health tools into experiential learning as a strategy to enhance informatics competency and clinical reasoning. However, findings also underscore the need for repeated, structured, and faculty-supported engagement to build deeper digital fluency. Aligning with national nursing education standards, this intervention offers a promising approach to prepare students for the digital demands of modern clinical practice.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145726409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marjorie Jenkins, Jennifer D Deaton, Megan Whitbeck, Kimberly Koechert, Hannah Mack
{"title":"Affective Responses, Coping, and Mental Health Outcomes: An Exploratory Needs Assessment.","authors":"Marjorie Jenkins, Jennifer D Deaton, Megan Whitbeck, Kimberly Koechert, Hannah Mack","doi":"10.1097/NAQ.0000000000000699","DOIUrl":"10.1097/NAQ.0000000000000699","url":null,"abstract":"<p><p>Health care workers (HCWs) have shouldered the burdens during the COVID pandemic (eg, working longer hours with less community support) resulting in significant burnout, stress, anxiety, depression, direct trauma (eg, fear for own safety) and indirect trauma exposure (eg, working with trauma patients). As such, it is necessary to strengthen resilience and reduce the likelihood of burnout. This evaluation used utilization focused evaluation to understand the extent staff experience affective responses, mental health outcomes, and frequency of coping skills at this stage of the ongoing pandemic. Professional Quality of Life Scale-Health (ProQoL), Outcomes Questionnaire-30.2, and Brief COPE Scale to evaluate professional quality of life, moral distress, coping skills and mental health outcomes. Units' staff members (n = 30), comprised of nurses (80%) and nurse technicians (20%), with 1 to 25 years' experience, participated in the needs assessment (approximately 30.9% of units). Study findings revealed 59% would participate in external individual counseling services, 32% internal individual counseling, and 32% monthly support group. Moreover, 93% feel their work makes a difference and 71% report they are rarely unhappy at work. However, 96% say work sometimes exhausts them. One third of participants significantly struggle with mental health concerns reporting stress of 59% as moderate range and 32% severe range. Furthermore, 50% indicated various coping measures and 61% reported having someone to talk to about their struggles. Therapeutic services offered to nurses and medical professionals may improve staff psychological wellness, increase compassion satisfaction, and reduce burnout. Needs assessment yielded a need for coping strategies which are unique to intensive care and developed, led, and facilitated by staff, nurse champions, or small teams, with the goal to reduce \"taking home\" feelings of anxiety and for staff to \"leave work at work.\"</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":" ","pages":"106-112"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Angela Pascale, Teresa D Welch, Todd B Smith, Nora E Warshawsky
{"title":"Reducing Nurse Turnover: A Key Strategy for Lowering Patient Falls and Costs.","authors":"Angela Pascale, Teresa D Welch, Todd B Smith, Nora E Warshawsky","doi":"10.1097/NAQ.0000000000000709","DOIUrl":"10.1097/NAQ.0000000000000709","url":null,"abstract":"<p><p>In hospitals, the cost to replace 1 registered nurse (RN) can be quantified by considering costs in recruitment, hiring, and onboarding processes. Though the mean replacement cost of 1 RN will vary depending on geographic location and professional specialization, some have estimated this cost at $56 000. In addition to these direct costs, high turnover also contributes to broader organizational challenges, including disrupted communication, teamwork, and patient care. These challenges can contribute to adverse quality outcomes, such as increased inpatient falls. This article examines the organizational cost of RN turnover by analyzing its relationship to inpatient fall rates as an indicator of quality care.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":" ","pages":"119-122"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12994890/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144718799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monica Lansdowne, Jessica Sperling, Kay S Lytle, Deborah Allen, Thomas Merrill, Michael P Cary
{"title":"Nurses' Perspectives on AI in Clinical Practice: Implications for Training and Workforce Development.","authors":"Monica Lansdowne, Jessica Sperling, Kay S Lytle, Deborah Allen, Thomas Merrill, Michael P Cary","doi":"10.1097/NAQ.0000000000000710","DOIUrl":"10.1097/NAQ.0000000000000710","url":null,"abstract":"<p><p>This study explored nurses' perspectives on the adoption and utilization of artificial intelligence (AI) in clinical practice within a large university-affiliated health system in the southeastern United States. Through a survey enriched by open-ended questions, we captured the unique concerns and suggestions of nursing professionals regarding the deployment of AI technologies in a range of clinical settings. The majority of nurses have limited exposure to and experience with generative and predictive AI tools. In addition, they have concerns about the availability of related training opportunities, AI process integration, and ethical implications of AI implementation. There are critical workforce development needs and substantial opportunities for enhanced training to incorporate both ethical considerations and technical skills. This research illuminates the perspective and experience of nurses using AI. Specifically, it provides insights into the nursing workforce's readiness to adopt and utilize AI in clinical practice. This research also informs the integration of AI-focused curriculum and professional development for nurses. Specifically, more structured training is needed for nurses to use AI responsibly. Nurse administrators should be aware of the hesitations and concerns of this large population, as nurses are ultimately the front-line end users.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":" ","pages":"95-100"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145092606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Leadership for a Disrupted Future: Promoting Resilience, Reflection, and Self-Care During Exponential Change.","authors":"Carol Huston, Gwen Sherwood","doi":"10.1097/NAQ.0000000000000685","DOIUrl":"10.1097/NAQ.0000000000000685","url":null,"abstract":"<p><p>Traditional leadership models were not designed for the degree of disruptive change healthcare systems are experiencing with the emergence of transformative technologies and global economic uncertainty. Change often leaves people and organizations bewildered, vulnerable, and fractured; guiding teams through these tumultuous challenges calls for redesigned leadership models such as adaptive leadership, which embrace change, promote resilience, and foster healthy work environments characterized by innovation and inclusivity. Adaptive leadership acknowledges the inevitability of change, views uncertainty and disruptions as catalysts for change, and fosters a culture of learning where curiosity is nurtured. This creates a sense of psychological safety where individuals feel empowered to take risks and push the boundaries of what is possible. This paper illustrates eight interconnected strategies that adaptive leaders can use to intertwine resilience, reflection, and self-care when leading individuals and teams impacted by exponential change. These strategies demonstrate how adaptive leadership encourages resilience, provides resources, and supports team members during disruptive change.</p>","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":"50 2","pages":"89-94"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147474770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Decade of Transformation-Honoring the Journey of the Kaiser Permanente Scholars Academy.","authors":"Rayne Soriano, Janet Sohal","doi":"10.1097/NAQ.0000000000000731","DOIUrl":"10.1097/NAQ.0000000000000731","url":null,"abstract":"","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":"50 2S Suppl 2","pages":"S1"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12994896/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147515275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Decade of Transformational Impact: Celebrating 10 Years of the Kaiser Permanente Nurse Scholars Academy.","authors":"Tim Porter-O'Grady","doi":"10.1097/NAQ.0000000000000752","DOIUrl":"10.1097/NAQ.0000000000000752","url":null,"abstract":"","PeriodicalId":35640,"journal":{"name":"Nursing Administration Quarterly","volume":"50 2S Suppl 2","pages":"S2-S4"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12994894/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147515293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}