Pub Date : 2025-10-01DOI: 10.1016/j.jnr.2025.08.009
Dawn Terzulli DNP, RN, PCCN, CHSE , Kristen Poston DNP, APRN, FNP-C, CHSE , Marc Lapointe PharmD, BCPS , Brandi Townsend BSN, RN , Tese Stephens PhD, MSN, RN, CNE
Background
Educators are challenged with finding innovative interventions to meet the evolving curricular and technological demands of the complex and rapidly changing healthcare landscape. A growing body of literature supports immersive virtual reality simulation (IVRS) as an effective instructional methodology.
Purpose
The purpose of this case study is to explore best practices for IVRS integration with an interprofessional team.
Methods
An interprofessional IVRS pilot was implemented with college of nursing and college of pharmacy students at a large, state-supported academic health sciences center in South Carolina.
Results
Twenty nursing and 20 pharmacy students participated in the pilot. Learners and faculty reported immediately seeing value in the learning experience. The data suggested a positive trend: following the interprofessional IVRS session, all respondents indicated agreement or strong agreement with the statement “I feel confident providing care in an interprofessional, team-based environment,” reflecting increased confidence in their ability to function effectively within an interprofessional team.
Conclusions
Faculty and administrators should use a targeted approach to IVRS implementation, beginning with a thorough evaluation of potential curricular needs followed by designing experiences that align with established regulatory guidelines. If possible, interprofessional IVRS training experiences that are developed and guided by simulation experts are recommended. The flexibility and efficiency that IVRS technology brings to historically labor-intensive IP simulation training is a revolutionary development.
{"title":"Transforming healthcare education with immersive virtual reality simulation: An interprofessional case study","authors":"Dawn Terzulli DNP, RN, PCCN, CHSE , Kristen Poston DNP, APRN, FNP-C, CHSE , Marc Lapointe PharmD, BCPS , Brandi Townsend BSN, RN , Tese Stephens PhD, MSN, RN, CNE","doi":"10.1016/j.jnr.2025.08.009","DOIUrl":"10.1016/j.jnr.2025.08.009","url":null,"abstract":"<div><h3>Background</h3><div>Educators are challenged with finding innovative interventions to meet the evolving curricular and technological demands of the complex and rapidly changing healthcare landscape. A growing body of literature supports immersive virtual reality simulation (IVRS) as an effective instructional methodology.</div></div><div><h3>Purpose</h3><div>The purpose of this case study is to explore best practices for IVRS integration with an interprofessional team.</div></div><div><h3>Methods</h3><div>An interprofessional IVRS pilot was implemented with college of nursing and college of pharmacy students at a large, state-supported academic health sciences center in South Carolina.</div></div><div><h3>Results</h3><div>Twenty nursing and 20 pharmacy students participated in the pilot. Learners and faculty reported immediately seeing value in the learning experience. The data suggested a positive trend: following the interprofessional IVRS session, all respondents indicated agreement or strong agreement with the statement “I feel confident providing care in an interprofessional, team-based environment,” reflecting increased confidence in their ability to function effectively within an interprofessional team.</div></div><div><h3>Conclusions</h3><div>Faculty and administrators should use a targeted approach to IVRS implementation, beginning with a thorough evaluation of potential curricular needs followed by designing experiences that align with established regulatory guidelines. If possible, interprofessional IVRS training experiences that are developed and guided by simulation experts are recommended. The flexibility and efficiency that IVRS technology brings to historically labor-intensive IP simulation training is a revolutionary development.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 255-260"},"PeriodicalIF":6.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.jnr.2025.08.015
Elizabeth H. Zhong PhD , Nancy Spector PhD, RN, FAAN , Charlie O'Hara PhD , Nicole Livanos JD , Jose Delfin Castillo III PhD, MSNA, CRNA, APRN, FAANA
Projections point to persistent and potentially worsening nursing workforce shortages in the United States, with the resulting inadequate staffing posing a risk to patient care. Artificial intelligence (AI) offers a disruptive opportunity, not only to relieve staffing pressures but also to fundamentally reshape nursing roles and the healthcare infrastructure. This review aims to advance insight into AI's transformative potential in nursing by examining current and prospective applications of AI across five key domains: workforce planning, education, practice, regulatory frameworks, and the AI-human ecosystem. It highlights key innovations alongside emerging opportunities and risks tied to AI adoption, and it explores ethical concerns, gaps in regulatory guardrails, and implementation challenges that could hinder the responsible and effective integration of AI into nursing practice. Rather than offering definitive answers, the present review aims to encourage ongoing inquiry into the multifaceted role of AI in nursing, fostering solutions that are not only technologically advanced but also ethically sound and human-centered.
{"title":"Advancing nursing regulation in the digital era: Harnessing AI to bridge workforce gaps and strengthen practice competency and safety","authors":"Elizabeth H. Zhong PhD , Nancy Spector PhD, RN, FAAN , Charlie O'Hara PhD , Nicole Livanos JD , Jose Delfin Castillo III PhD, MSNA, CRNA, APRN, FAANA","doi":"10.1016/j.jnr.2025.08.015","DOIUrl":"10.1016/j.jnr.2025.08.015","url":null,"abstract":"<div><div>Projections point to persistent and potentially worsening nursing workforce shortages in the United States, with the resulting inadequate staffing posing a risk to patient care. Artificial intelligence (AI) offers a disruptive opportunity, not only to relieve staffing pressures but also to fundamentally reshape nursing roles and the healthcare infrastructure. This review aims to advance insight into AI's transformative potential in nursing by examining current and prospective applications of AI across five key domains: workforce planning, education, practice, regulatory frameworks, and the AI-human ecosystem. It highlights key innovations alongside emerging opportunities and risks tied to AI adoption, and it explores ethical concerns, gaps in regulatory guardrails, and implementation challenges that could hinder the responsible and effective integration of AI into nursing practice. Rather than offering definitive answers, the present review aims to encourage ongoing inquiry into the multifaceted role of AI in nursing, fostering solutions that are not only technologically advanced but also ethically sound and human-centered.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 150-164"},"PeriodicalIF":6.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.jnr.2025.08.001
Khaldoon Aied Alnawafleh RN, MSN, PhD , Wesam Taher Almagharbeh RN, MSN, PhD , Hazem AbdulKareem Alfanash RN, MSN, PhD , Amal Ali Alasmari RN, MSN, PhD (Assistant Professor) , Amal Ali Alharbi RN, MSN, PhD , Mashael Hasan Alamrani RN, MSN, PhD , Sameer A. Alkubati RN, MSN, PhD , Malik A. Altayar PhD , Khulud Ahmad Rezq RN, MSN, PhD
Background
Artificial intelligence (AI) is being increasingly integrated into nursing practice, offering tools such as clinical decision support systems, predictive analytics, and robotic aids. While these technologies promise greater efficiency and precision, they also raise complex ethical challenges specific to the relational, advocacy-driven nature of nursing.
Purpose
To systematically review and synthesize the ethical implications of AI integration in nursing practice, focusing on five key domains: patient autonomy, privacy, accountability, equity and algorithmic bias, and nurse–patient relationships.
Methods
Following the Preferred Reporting Items for Systematic Reviews and Meta-analyses 2020 guidelines, a systematic review was conducted using PubMed, CINAHL, IEEE Xplore, and Google Scholar. Studies published between 2018 and 2025 that addressed AI ethics within nursing were included. Data were extracted from included studies and analyzed through thematic synthesis.
Results
Thirty-three articles met the inclusion criteria. Patient autonomy (67%), privacy (61%), and accountability (49%) were the most frequently discussed ethical concerns. AI’s opacity often hindered informed consent and shared decision-making. Privacy risks included secondary data use and insufficient data governance. Accountability remained diffuse in cases of AI error, with nurses caught between professional duty and opaque algorithmic suggestions. Equity and algorithmic bias issues emerged in 42% of studies, especially when AI was trained on nondiverse datasets. Finally, nurse–patient relationships were strained in settings where AI mediated or replaced human contact, particularly in elder care.
Conclusion
Ethical integration of AI in nursing requires nurse-centered system design, transparent governance protocols, and ethical education. Future efforts must emphasize equitable data practices, clarify liability, and preserve the relational foundation of nursing.
{"title":"Exploring the ethical dimensions of AI integration in nursing practice: A systematic review","authors":"Khaldoon Aied Alnawafleh RN, MSN, PhD , Wesam Taher Almagharbeh RN, MSN, PhD , Hazem AbdulKareem Alfanash RN, MSN, PhD , Amal Ali Alasmari RN, MSN, PhD (Assistant Professor) , Amal Ali Alharbi RN, MSN, PhD , Mashael Hasan Alamrani RN, MSN, PhD , Sameer A. Alkubati RN, MSN, PhD , Malik A. Altayar PhD , Khulud Ahmad Rezq RN, MSN, PhD","doi":"10.1016/j.jnr.2025.08.001","DOIUrl":"10.1016/j.jnr.2025.08.001","url":null,"abstract":"<div><h3>Background</h3><div>Artificial intelligence (AI) is being increasingly integrated into nursing practice, offering tools such as clinical decision support systems, predictive analytics, and robotic aids. While these technologies promise greater efficiency and precision, they also raise complex ethical challenges specific to the relational, advocacy-driven nature of nursing.</div></div><div><h3>Purpose</h3><div>To systematically review and synthesize the ethical implications of AI integration in nursing practice, focusing on five key domains: patient autonomy, privacy, accountability, equity and algorithmic bias, and nurse–patient relationships.</div></div><div><h3>Methods</h3><div>Following the Preferred Reporting Items for Systematic Reviews and Meta-analyses 2020 guidelines, a systematic review was conducted using PubMed, CINAHL, IEEE Xplore, and Google Scholar. Studies published between 2018 and 2025 that addressed AI ethics within nursing were included. Data were extracted from included studies and analyzed through thematic synthesis.</div></div><div><h3>Results</h3><div>Thirty-three articles met the inclusion criteria. Patient autonomy (67%), privacy (61%), and accountability (49%) were the most frequently discussed ethical concerns. AI’s opacity often hindered informed consent and shared decision-making. Privacy risks included secondary data use and insufficient data governance. Accountability remained diffuse in cases of AI error, with nurses caught between professional duty and opaque algorithmic suggestions. Equity and algorithmic bias issues emerged in 42% of studies, especially when AI was trained on nondiverse datasets. Finally, nurse–patient relationships were strained in settings where AI mediated or replaced human contact, particularly in elder care.</div></div><div><h3>Conclusion</h3><div>Ethical integration of AI in nursing requires nurse-centered system design, transparent governance protocols, and ethical education. Future efforts must emphasize equitable data practices, clarify liability, and preserve the relational foundation of nursing.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 228-237"},"PeriodicalIF":6.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The integration of Artificial Intelligence (AI) in nursing practice represents a significant advancement in healthcare, offering promising improvements in clinical decision-making, workflow efficiency, and patient care management. However, its widespread implementation faces obstacles, such as inadequate training, resistance to technological change, and regulatory uncertainties.
Purpose
This study assesses nurses' receptiveness to AI in critical care settings, to identify the main barriers hindering its adoption, and to evaluate the effectiveness of AI-based simulation training in enhancing nurses’ competencies and promoting acceptance of AI technologies in clinical practice.
Methods
A quasi-experimental mixed-methods design was employed. Nurses participated in simulated clinical scenarios using AI tools, including IBM Watsonx and Qventus. Data collection methods included direct clinical observation, competency assessments, satisfaction surveys, and qualitative interviews to gain comprehensive insight into user experience and outcomes.
Results
The study revealed a significant increase in nurses’ confidence in using AI—from 35.9 % before training to 81.3 % after training (p < 0.001)—along with a notable reduction in clinical response time (from 21.4 s to 13.0 s).
Conclusion
Simulation-based training involving AI tools effectively improves nurses’ clinical competencies and confidence, contributing to enhanced patient safety and operational efficiency. To support successful AI integration in nursing practice, healthcare institutions must address training gaps and regulatory barriers. Future initiatives should focus on implementing structured educational programs and developing clear policies to facilitate the ethical and efficient adoption of AI technologies in clinical settings.
{"title":"Enhancing nursing practice through simulation: Addressing barriers and advancing the integration of artificial intelligence in healthcare","authors":"Mohamed Benfatah PhD , Ilham Elazizi MSN , Hajar Belhaj PhD , Abderrahmane Lamiri PhD","doi":"10.1016/j.jnr.2025.08.004","DOIUrl":"10.1016/j.jnr.2025.08.004","url":null,"abstract":"<div><h3>Background</h3><div>The integration of Artificial Intelligence (AI) in nursing practice represents a significant advancement in healthcare, offering promising improvements in clinical decision-making, workflow efficiency, and patient care management. However, its widespread implementation faces obstacles, such as inadequate training, resistance to technological change, and regulatory uncertainties.</div></div><div><h3>Purpose</h3><div>This study assesses nurses' receptiveness to AI in critical care settings, to identify the main barriers hindering its adoption, and to evaluate the effectiveness of AI-based simulation training in enhancing nurses’ competencies and promoting acceptance of AI technologies in clinical practice.</div></div><div><h3>Methods</h3><div>A quasi-experimental mixed-methods design was employed. Nurses participated in simulated clinical scenarios using AI tools, including IBM Watsonx and Qventus. Data collection methods included direct clinical observation, competency assessments, satisfaction surveys, and qualitative interviews to gain comprehensive insight into user experience and outcomes.</div></div><div><h3>Results</h3><div>The study revealed a significant increase in nurses’ confidence in using AI—from 35.9 % before training to 81.3 % after training (<em>p</em> < 0.001)—along with a notable reduction in clinical response time (from 21.4 s to 13.0 s).</div></div><div><h3>Conclusion</h3><div>Simulation-based training involving AI tools effectively improves nurses’ clinical competencies and confidence, contributing to enhanced patient safety and operational efficiency. To support successful AI integration in nursing practice, healthcare institutions must address training gaps and regulatory barriers. Future initiatives should focus on implementing structured educational programs and developing clear policies to facilitate the ethical and efficient adoption of AI technologies in clinical settings.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 242-248"},"PeriodicalIF":6.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.jnr.2025.08.014
Adrian Guerrero CPM
This article explores the transformative role of artificial intelligence (AI) and cybersecurity in the evolving landscape of nursing regulation. As regulatory agencies manage increasingly complex responsibilities, AI offers opportunities to enhance decision-making, streamline processes, and deliver more consistent and efficient public protection. From automating licensure workflows to enabling predictive analytics, AI is emerging as a powerful advisory tool for boards of nursing while maintaining the necessity of human oversight. Simultaneously, cybersecurity has become a critical priority, requiring regulators to adopt proactive strategies to safeguard sensitive data, strengthen governance, and ensure ethical implementation of emerging technologies. Highlighting initiatives at the Kansas State Board of Nursing, the article underscores the need for cultural adaptation, workforce training, and cross-jurisdictional collaboration. It calls on regulators to embrace digital literacy, demand algorithmic transparency, and prepare for a future where AI-driven insights and robust cybersecurity frameworks become integral to effective, ethical, and innovative regulation.
{"title":"Regulatory Reflection: AI, cybersecurity, and the new tools of the trade","authors":"Adrian Guerrero CPM","doi":"10.1016/j.jnr.2025.08.014","DOIUrl":"10.1016/j.jnr.2025.08.014","url":null,"abstract":"<div><div>This article explores the transformative role of artificial intelligence (AI) and cybersecurity in the evolving landscape of nursing regulation. As regulatory agencies manage increasingly complex responsibilities, AI offers opportunities to enhance decision-making, streamline processes, and deliver more consistent and efficient public protection. From automating licensure workflows to enabling predictive analytics, AI is emerging as a powerful advisory tool for boards of nursing while maintaining the necessity of human oversight. Simultaneously, cybersecurity has become a critical priority, requiring regulators to adopt proactive strategies to safeguard sensitive data, strengthen governance, and ensure ethical implementation of emerging technologies. Highlighting initiatives at the Kansas State Board of Nursing, the article underscores the need for cultural adaptation, workforce training, and cross-jurisdictional collaboration. It calls on regulators to embrace digital literacy, demand algorithmic transparency, and prepare for a future where AI-driven insights and robust cybersecurity frameworks become integral to effective, ethical, and innovative regulation.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 139-140"},"PeriodicalIF":6.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.jnr.2025.08.008
Lauren Herckis PhD , Emily Tse MPhil
Background
Credential fraud among healthcare professionals is a global, significant, and ever-evolving challenge. Technological innovations, such as digital imaging and generative artificial intelligence (AI) that make it easier to fabricate documents, have changed the credential evaluation and verification landscape. A global health worker shortage compounds the critical need to maintain integrity, reliability, and rigor in credential verification of healthcare professionals.
Purpose
To identify evidence-based best practices for combatting nursing credential fraud in the context of AI.
Methods
This research effort entailed a scoping review following Arskey and O'Malley's methodological framework to identify scholarly research related to AI and nursing credential fraud. After the scoping review, an environmental scan of grey literature and professional guidance was performed. Integrated analysis of the findings was used to develop themes and recommendations to guide future work.
Results
Four articles, all published between 2020 and 2025, were subjected to full-text review. Of these four articles, none directly addressed AI in perpetrating or combatting nursing credential fraud. The environmental scan revealed practices documented by professional associations and regulatory bodies as well as emerging trends. Five areas of future research are recommended based on these findings: (1) translate existing research, (2) collaborate in cross-functional teams; (3) engage in experimental software development; (4) generate evidence-based guidance; and (5) participate in ongoing evaluation processes.
Conclusions
This study found emerging practices but no empirical research or evidence-based guidance on the use of AI in combatting or perpetuating nursing credential fraud. Literature addressing employment fraud, AI and nursing regulation, and AI in credential evaluation reveal that nursing credential fraud leveraging AI tools requires urgent attention from regulators, credential evaluators, employers, and researchers.
{"title":"AI-enabled fraud detection, prevention, and perpetration in nursing credential evaluation: A scoping study","authors":"Lauren Herckis PhD , Emily Tse MPhil","doi":"10.1016/j.jnr.2025.08.008","DOIUrl":"10.1016/j.jnr.2025.08.008","url":null,"abstract":"<div><h3>Background</h3><div>Credential fraud among healthcare professionals is a global, significant, and ever-evolving challenge. Technological innovations, such as digital imaging and generative artificial intelligence (AI) that make it easier to fabricate documents, have changed the credential evaluation and verification landscape. A global health worker shortage compounds the critical need to maintain integrity, reliability, and rigor in credential verification of healthcare professionals.</div></div><div><h3>Purpose</h3><div>To identify evidence-based best practices for combatting nursing credential fraud in the context of AI.</div></div><div><h3>Methods</h3><div>This research effort entailed a scoping review following Arskey and O'Malley's methodological framework to identify scholarly research related to AI and nursing credential fraud. After the scoping review, an environmental scan of grey literature and professional guidance was performed. Integrated analysis of the findings was used to develop themes and recommendations to guide future work.</div></div><div><h3>Results</h3><div>Four articles, all published between 2020 and 2025, were subjected to full-text review. Of these four articles, none directly addressed AI in perpetrating or combatting nursing credential fraud. The environmental scan revealed practices documented by professional associations and regulatory bodies as well as emerging trends. Five areas of future research are recommended based on these findings: (1) translate existing research, (2) collaborate in cross-functional teams; (3) engage in experimental software development; (4) generate evidence-based guidance; and (5) participate in ongoing evaluation processes.</div></div><div><h3>Conclusions</h3><div>This study found emerging practices but no empirical research or evidence-based guidance on the use of AI in combatting or perpetuating nursing credential fraud. Literature addressing employment fraud, AI and nursing regulation, and AI in credential evaluation reveal that nursing credential fraud leveraging AI tools requires urgent attention from regulators, credential evaluators, employers, and researchers.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 183-194"},"PeriodicalIF":6.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.jnr.2025.08.002
Janet H. Davis MSN, MBA, PhD, RN, CNE
{"title":"Communicating nursing practice AI issues and problems with an informational memo","authors":"Janet H. Davis MSN, MBA, PhD, RN, CNE","doi":"10.1016/j.jnr.2025.08.002","DOIUrl":"10.1016/j.jnr.2025.08.002","url":null,"abstract":"","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 238-241"},"PeriodicalIF":6.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01DOI: 10.1016/j.jnr.2025.08.010
Jessica L. Kamerer EdD, MSN, RNC-NIC , Mary Elizabeth (Betsy) Guimond WHNP, BC, PhD
Background
Telehealth usage has increased drastically worldwide since the COVID-19 pandemic. In addition, nurses are working in an increasingly globalized society. Today's healthcare industry requires nurses to use technology routinely in their daily scope of work. Also, nurses must provide patient care that demonstrates cultural humility and competency. This paper presents an example of a qualitative research study in which prelicensure nursing students delivered multicultural patient education sessions, discussing how this experience influenced the development of nursing skills among student participants, including technology use, cultural competency, and cultural humility.
Purpose
The purpose of this qualitative study was to identify themes related to the development of nursing skills for cultural competence and cultural humility in undergraduate prelicensure nursing students after participating in virtual patient education sessions.
Methods
A qualitative research study design was used to examine the experience of undergraduate prelicensure nursing students who delivered prenatal and antepartum patient education to mothers in Uganda via remote synchronous live learning sessions for themes related to cultural humility and competence through the use of semi-structured interviews.
Results
Through analysis, five themes were identified related to participants’ development of cultural competence and cultural humility.
Conclusion
Participants were able to articulate both an appreciation for participation in a real-world project and astute observations regarding aspects of cultural competence and humility skills gained from the project.
{"title":"The experience of prelicensure nursing students in developing & delivering a telehealth multicultural patient education session","authors":"Jessica L. Kamerer EdD, MSN, RNC-NIC , Mary Elizabeth (Betsy) Guimond WHNP, BC, PhD","doi":"10.1016/j.jnr.2025.08.010","DOIUrl":"10.1016/j.jnr.2025.08.010","url":null,"abstract":"<div><h3>Background</h3><div>Telehealth usage has increased drastically worldwide since the COVID-19 pandemic. In addition, nurses are working in an increasingly globalized society. Today's healthcare industry requires nurses to use technology routinely in their daily scope of work. Also, nurses must provide patient care that demonstrates cultural humility and competency. This paper presents an example of a qualitative research study in which prelicensure nursing students delivered multicultural patient education sessions, discussing how this experience influenced the development of nursing skills among student participants, including technology use, cultural competency, and cultural humility.</div></div><div><h3>Purpose</h3><div>The purpose of this qualitative study was to identify themes related to the development of nursing skills for cultural competence and cultural humility in undergraduate prelicensure nursing students after participating in virtual patient education sessions.</div></div><div><h3>Methods</h3><div>A qualitative research study design was used to examine the experience of undergraduate prelicensure nursing students who delivered prenatal and antepartum patient education to mothers in Uganda via remote synchronous live learning sessions for themes related to cultural humility and competence through the use of semi-structured interviews.</div></div><div><h3>Results</h3><div>Through analysis, five themes were identified related to participants’ development of cultural competence and cultural humility.</div></div><div><h3>Conclusion</h3><div>Participants were able to articulate both an appreciation for participation in a real-world project and astute observations regarding aspects of cultural competence and humility skills gained from the project.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 249-254"},"PeriodicalIF":6.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As telehealth becomes an increasingly integral component of healthcare delivery, advanced practice registered nurses (APRNs) must navigate a complex regulatory landscape to ensure compliance and uphold the standard of care.
Purpose
The purpose of this article is to review key regulatory considerations for APRNs providing telehealth care, including licensure requirements, prescribing guidance, privacy and security requirements under HIPAA, and the responsibilities associated with maintaining the standard of care when providing virtual care.
Methods
A comprehensive review of APRN telehealth regulatory compliance was completed to provide detailed guidance. Results: APRN regulatory considerations are reviewed, and the APRN’s role in mitigating risks, preserving quality of care, and ensuring patient safety is highlighted. To support regulatory oversight, the Telehealth Standard of Care Evaluation Matrix, a novel tool designed to guide consistent evaluation of APRN telehealth practice, is presented.
Conclusion
This resource will aid both providers and regulators in ensuring that telehealth encounters meet the same rigorous standards as in-person care.
{"title":"Navigating APRN regulation in the era of virtual healthcare","authors":"Kelli Garber DNP, APRN, PPCNP-BC, FAANP, FAAN , Mahrokh M. Kobeissi DNP, APRN, FNP-C, CPAHA , Tina Gustin DNP, APRN, CNS, FAAN","doi":"10.1016/j.jnr.2025.08.006","DOIUrl":"10.1016/j.jnr.2025.08.006","url":null,"abstract":"<div><h3>Background</h3><div>As telehealth becomes an increasingly integral component of healthcare delivery, advanced practice registered nurses (APRNs) must navigate a complex regulatory landscape to ensure compliance and uphold the standard of care.</div></div><div><h3>Purpose</h3><div>The purpose of this article is to review key regulatory considerations for APRNs providing telehealth care, including licensure requirements, prescribing guidance, privacy and security requirements under HIPAA, and the responsibilities associated with maintaining the standard of care when providing virtual care.</div></div><div><h3>Methods</h3><div>A comprehensive review of APRN telehealth regulatory compliance was completed to provide detailed guidance. <em>Results:</em> APRN regulatory considerations are reviewed, and the APRN’s role in mitigating risks, preserving quality of care, and ensuring patient safety is highlighted. To support regulatory oversight, the Telehealth Standard of Care Evaluation Matrix, a novel tool designed to guide consistent evaluation of APRN telehealth practice, is presented.</div></div><div><h3>Conclusion</h3><div>This resource will aid both providers and regulators in ensuring that telehealth encounters meet the same rigorous standards as in-person care.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 165-170"},"PeriodicalIF":6.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social media is used widely across the international nursing community for professional purposes. Although the need for such social media use is important, reports of serious misconduct by nurses on social media platforms persist.
Purpose
To examine the context and circumstances of misconduct hearings by the United Kingdom's (UK) professional regulator of nurses and midwives involving social media and to explain the factors that lead to this misconduct.
Methods
This study used a sequential, multiple method content analysis of publicly available UK Nursing and Midwifery Council hearing documents.
Results
Ninety-nine hearing documents were included. Findings revealed two overarching categories of misconduct involving social media: Category A, illegal activity and sexual misconduct, and Category B, unprofessional and unethical behavior. There are several contributory factors that lead to misconduct involving social media platforms, including people's traits (“bad apples”), organizations' cultures (“bad barrels”), and the wider social context and influences (“the larder”).
Conclusion
Having identified contributory factors, this study recommends organizational/regulatory interventions that can help prevent misconduct. Key stakeholders such as employers and education providers may wish to consider interventions that may prevent such cases, such as implementing values-based recruitment or creating an organizational culture that encourages the recognition and raising of concerns.
{"title":"Nursing and midwifery regulator misconduct hearings in the United Kingdom involving social media: Content analysis and proposed interventions for prevention","authors":"Gemma Ryan-Blackwell DHSci; MSc; PGCertHE; BSc (Hons); DipHE , Felicity Astin PhD","doi":"10.1016/j.jnr.2025.08.007","DOIUrl":"10.1016/j.jnr.2025.08.007","url":null,"abstract":"<div><h3>Background</h3><div>Social media is used widely across the international nursing community for professional purposes. Although the need for such social media use is important, reports of serious misconduct by nurses on social media platforms persist.</div></div><div><h3>Purpose</h3><div>To examine the context and circumstances of misconduct hearings by the United Kingdom's (UK) professional regulator of nurses and midwives involving social media and to explain the factors that lead to this misconduct.</div></div><div><h3>Methods</h3><div>This study used a sequential, multiple method content analysis of publicly available UK Nursing and Midwifery Council hearing documents.</div></div><div><h3>Results</h3><div>Ninety-nine hearing documents were included. Findings revealed two overarching categories of misconduct involving social media: Category A, illegal activity and sexual misconduct, and Category B, unprofessional and unethical behavior. There are several contributory factors that lead to misconduct involving social media platforms, including people's traits (“bad apples”), organizations' cultures (“bad barrels”), and the wider social context and influences (“the larder”).</div></div><div><h3>Conclusion</h3><div>Having identified contributory factors, this study recommends organizational/regulatory interventions that can help prevent misconduct. Key stakeholders such as employers and education providers may wish to consider interventions that may prevent such cases, such as implementing values-based recruitment or creating an organizational culture that encourages the recognition and raising of concerns.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 195-206"},"PeriodicalIF":6.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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