Pub Date : 2022-04-21DOI: 10.1007/s00521-022-07194-5
Antonio Greco, Gennaro Percannella, Pierluigi Ritrovato, Alessia Saggese, Mario Vento
Hand washing preparation can be considered as one of the main strategies for reducing the risk of surgical site contamination and thus the infections risks. Within this context, in this paper we propose an embedded system able to automatically analyze, in real-time, the sequence of images acquired by a depth camera to evaluate the quality of the handwashing procedure. In particular, the designed system runs on an NVIDIA Jetson Nano computing platform. We adopt a convolutional neural network, followed by a majority voting scheme, to classify the movement of the worker according to one of the ten gestures defined by the World Health Organization. To test the proposed system, we collect a dataset built by 74 different video sequences. The results achieved on this dataset confirm the effectiveness of the proposed approach.
{"title":"A deep learning based system for handwashing procedure evaluation.","authors":"Antonio Greco, Gennaro Percannella, Pierluigi Ritrovato, Alessia Saggese, Mario Vento","doi":"10.1007/s00521-022-07194-5","DOIUrl":"10.1007/s00521-022-07194-5","url":null,"abstract":"<p><p>Hand washing preparation can be considered as one of the main strategies for reducing the risk of surgical site contamination and thus the infections risks. Within this context, in this paper we propose an embedded system able to automatically analyze, in real-time, the sequence of images acquired by a depth camera to evaluate the quality of the handwashing procedure. In particular, the designed system runs on an NVIDIA Jetson Nano <math><msup><mrow></mrow> <mi>TM</mi></msup> </math> computing platform. We adopt a convolutional neural network, followed by a majority voting scheme, to classify the movement of the worker according to one of the ten gestures defined by the World Health Organization. To test the proposed system, we collect a dataset built by 74 different video sequences. The results achieved on this dataset confirm the effectiveness of the proposed approach.</p>","PeriodicalId":35733,"journal":{"name":"Annual review of nursing research","volume":"3 1","pages":"1-16"},"PeriodicalIF":4.5,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022899/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90146572","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}
Simulation is an integral component of undergraduate nursing education because it allows for a safe, timely, and prescriptive approach to meet learning objectives at the levels of individual simulations, courses, and academic programs. This review of the literature provides an overview of steps taken to move simulation forward in undergraduate nursing education, and it highlights educational theories, research, best practices, and policy statements underpinning modern nursing simulation. This chapter outlines simulation and curriculum integration approaches and provides examples of participant, course, and program outcomes.
{"title":"Simulation in Undergraduate Education.","authors":"Ashley E Franklin, Nicole Petsas Blodgett","doi":"10.1891/0739-6686.39.3","DOIUrl":"https://doi.org/10.1891/0739-6686.39.3","url":null,"abstract":"<p><p>Simulation is an integral component of undergraduate nursing education because it allows for a safe, timely, and prescriptive approach to meet learning objectives at the levels of individual simulations, courses, and academic programs. This review of the literature provides an overview of steps taken to move simulation forward in undergraduate nursing education, and it highlights educational theories, research, best practices, and policy statements underpinning modern nursing simulation. This chapter outlines simulation and curriculum integration approaches and provides examples of participant, course, and program outcomes.</p>","PeriodicalId":35733,"journal":{"name":"Annual review of nursing research","volume":"39 1","pages":"3-31"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38808561","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}
Pub Date : 2020-12-01DOI: 10.1891/0739-6686.39.105
Julie A Poore, Dylan D Cooper
Interprofessional simulation (IPS), frequently referred to in the literature as simulation-enhanced interprofessional education (IPE), has been widely studied in nursing and medical education. For decades, the literature has suggested IPE as a valuable strategy for enhancing communication and collaboration among health professionals. Interprofessional collaborative practice (IPCP) is foundational to developing high-functioning healthcare teams and can lead to reduced medical errors and increased patient safety. This chapter addresses IPS from both the academic and practice perspectives. The foundations of IPE and IPCP are reviewed, as well as the standards of best practice in simulation. Planning, development, and implementation will be discussed, including benefits, barriers, and possible solutions. Recommendations from relevant research on debriefing and evaluation of IPS are also reviewed. Outcomes from the growing body of research on IPS will be presented and include perceptions of interprofessional practice, better understanding of professional roles and responsibilities, development of communication and teamwork skills, and shared problem-solving and decision-making. Future implications and recommendations are provided based on the state of the science on IPS. Optimum design, implementation, and evaluation of IPS, along with a thorough understanding of the benefits, barriers, and opportunities, can help faculty and clinical educators prepare a collaborative healthcare workforce and reduce medical errors to ultimately improve patient outcomes.
{"title":"Interprofessional Simulation: From the Classroom to Clinical Practice.","authors":"Julie A Poore, Dylan D Cooper","doi":"10.1891/0739-6686.39.105","DOIUrl":"https://doi.org/10.1891/0739-6686.39.105","url":null,"abstract":"<p><p>Interprofessional simulation (IPS), frequently referred to in the literature as simulation-enhanced interprofessional education (IPE), has been widely studied in nursing and medical education. For decades, the literature has suggested IPE as a valuable strategy for enhancing communication and collaboration among health professionals. Interprofessional collaborative practice (IPCP) is foundational to developing high-functioning healthcare teams and can lead to reduced medical errors and increased patient safety. This chapter addresses IPS from both the academic and practice perspectives. The foundations of IPE and IPCP are reviewed, as well as the standards of best practice in simulation. Planning, development, and implementation will be discussed, including benefits, barriers, and possible solutions. Recommendations from relevant research on debriefing and evaluation of IPS are also reviewed. Outcomes from the growing body of research on IPS will be presented and include perceptions of interprofessional practice, better understanding of professional roles and responsibilities, development of communication and teamwork skills, and shared problem-solving and decision-making. Future implications and recommendations are provided based on the state of the science on IPS. Optimum design, implementation, and evaluation of IPS, along with a thorough understanding of the benefits, barriers, and opportunities, can help faculty and clinical educators prepare a collaborative healthcare workforce and reduce medical errors to ultimately improve patient outcomes.</p>","PeriodicalId":35733,"journal":{"name":"Annual review of nursing research","volume":"39 1","pages":"105-125"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38811281","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}
Although, human simulation methodology has its origins in medical education, nursing education has increased its use of simulated patient (SP) methodology to improve the education of nursing students across the curricula. This chapter will review the history of human simulation, introduce the human simulation continuum, and review different applications of SP methodology in undergraduate and graduate nursing education.
{"title":"Human Simulation in Nursing Education.","authors":"Catherine Nicholas, Jill S Sanko","doi":"10.1891/0739-6686.39.53","DOIUrl":"https://doi.org/10.1891/0739-6686.39.53","url":null,"abstract":"<p><p>Although, human simulation methodology has its origins in medical education, nursing education has increased its use of simulated patient (SP) methodology to improve the education of nursing students across the curricula. This chapter will review the history of human simulation, introduce the human simulation continuum, and review different applications of SP methodology in undergraduate and graduate nursing education.</p>","PeriodicalId":35733,"journal":{"name":"Annual review of nursing research","volume":"39 1","pages":"53-79"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38808563","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}
Pub Date : 2020-12-01DOI: 10.1891/0739-6686.39.149
Susan Prion, Katie Anne Haerling
Simulation has been used in nursing education and training since Florence Nightingale's era. Over the past 20 years, simulation learning experiences (SLEs) have been used with increasing frequently to educate healthcare professionals, develop and increase the expertise of practicing professionals, and gain competency in key interprofessional skills. This chapter provides a brief overview of simulation evaluation history, beginning in the late 1990s, and the initial focus on learner self-report data. Using Kirkpatrick's Levels of Evaluation as an organizing model, four types of SLE evaluation are reviewed as well as suggestions for future research.
自弗洛伦斯·南丁格尔时代起,模拟就被用于护理教育和培训。在过去的20年中,模拟学习经验(SLEs)越来越频繁地用于教育医疗保健专业人员,发展和提高执业专业人员的专业知识,并获得关键跨专业技能的能力。本章提供了模拟评估历史的简要概述,从20世纪90年代末开始,并最初关注学习者自我报告数据。本文以Kirkpatrick’s Levels of Evaluation为组织模型,综述了SLE的四种评估类型,并对未来的研究提出了建议。
{"title":"Evaluation of Simulation Outcomes.","authors":"Susan Prion, Katie Anne Haerling","doi":"10.1891/0739-6686.39.149","DOIUrl":"https://doi.org/10.1891/0739-6686.39.149","url":null,"abstract":"<p><p>Simulation has been used in nursing education and training since Florence Nightingale's era. Over the past 20 years, simulation learning experiences (SLEs) have been used with increasing frequently to educate healthcare professionals, develop and increase the expertise of practicing professionals, and gain competency in key interprofessional skills. This chapter provides a brief overview of simulation evaluation history, beginning in the late 1990s, and the initial focus on learner self-report data. Using Kirkpatrick's Levels of Evaluation as an organizing model, four types of SLE evaluation are reviewed as well as suggestions for future research.</p>","PeriodicalId":35733,"journal":{"name":"Annual review of nursing research","volume":"39 1","pages":"149-180"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38811283","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}
Pub Date : 2020-12-01DOI: 10.1891/0739-6686.39.243
Lori Lioce, Kimberly Budisalich, Darlene A Showalter
Though three-dimensional (3D) printing is often touted as cutting-edge technology, it actually made its appearance in the 1980s. Since then, this technology has made significant progress from its humble origins of layering polymers to create simple structures to the more sophisticated printing with elements such as metals used to create complex structures for aircraft. This technology has advanced and been finely tuned largely in thanks to the engineering profession. The variance within the printers, software, and printing material allows for broad application beyond engineering and manufacturing. Healthcare and academic applications are beginning to get traction. The National Institutes of Health has established a platform for sharing 3D ideas to support biotechnology and modeling for healthcare. It makes sense that nursing programs would, minimally, utilize 3D printers to enrich their institutional simulation laboratory and to manufacture specialty materials for training students in a cost-efficient manner. Opportunities to collaborate with other academic departments and community partners in the development and production of timely and effective solutions to pressing healthcare needs enriches student learning, nursing programs, and their graduates. Faculty buy-in and purposeful integration throughout the curriculum are vital variables associated with the successful implementation of 3D printing in a nursing program. Additional benefits include opportunities for publications, presentation of papers, and interprofessional collaboration.
虽然三维打印经常被吹捧为尖端技术,但它实际上是在20世纪80年代出现的。从那时起,这项技术已经取得了重大进展,从其不起眼的分层聚合物制造简单结构到更复杂的打印元素,如用于制造飞机复杂结构的金属。这项技术的进步和完善很大程度上要归功于工程专业。打印机、软件和打印材料之间的差异允许在工程和制造之外的广泛应用。医疗保健和学术应用也开始受到关注。美国国立卫生研究院(National Institutes of Health)建立了一个共享3D理念的平台,以支持医疗保健领域的生物技术和建模。这是有道理的,护理项目将最低限度地利用3D打印机来丰富他们的机构模拟实验室,并以经济有效的方式制造专业材料来培训学生。有机会与其他学术部门和社区合作伙伴合作,开发和生产及时有效的解决方案,以满足紧迫的医疗保健需求,丰富学生的学习、护理项目及其毕业生。在整个课程中,教师的支持和有目的的整合是与3D打印在护理项目中成功实施相关的重要变量。额外的好处包括发表论文、展示论文和跨专业合作的机会。
{"title":"Three-Dimensional Printing: Collaborative Nurse-Led Research.","authors":"Lori Lioce, Kimberly Budisalich, Darlene A Showalter","doi":"10.1891/0739-6686.39.243","DOIUrl":"https://doi.org/10.1891/0739-6686.39.243","url":null,"abstract":"<p><p>Though three-dimensional (3D) printing is often touted as cutting-edge technology, it actually made its appearance in the 1980s. Since then, this technology has made significant progress from its humble origins of layering polymers to create simple structures to the more sophisticated printing with elements such as metals used to create complex structures for aircraft. This technology has advanced and been finely tuned largely in thanks to the engineering profession. The variance within the printers, software, and printing material allows for broad application beyond engineering and manufacturing. Healthcare and academic applications are beginning to get traction. The National Institutes of Health has established a platform for sharing 3D ideas to support biotechnology and modeling for healthcare. It makes sense that nursing programs would, minimally, utilize 3D printers to enrich their institutional simulation laboratory and to manufacture specialty materials for training students in a cost-efficient manner. Opportunities to collaborate with other academic departments and community partners in the development and production of timely and effective solutions to pressing healthcare needs enriches student learning, nursing programs, and their graduates. Faculty buy-in and purposeful integration throughout the curriculum are vital variables associated with the successful implementation of 3D printing in a nursing program. Additional benefits include opportunities for publications, presentation of papers, and interprofessional collaboration.</p>","PeriodicalId":35733,"journal":{"name":"Annual review of nursing research","volume":"39 1","pages":"243-261"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38811287","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}
Pub Date : 2020-12-01DOI: 10.1891/0739-6686.39.129
Kate J Morse, Mary K Fey, Susan Gross Forneris
Ongoing shifts in the healthcare system require practitioners who possess metacognitive skills to evaluate their decisions and the thinking and rationale guiding those decisions. In an effort to design learning activities that support metacognition in nursing education, undergraduate and graduate faculty, are embracing simulation-based education (SBE) as an effective teaching and learning strategy. SBE includes prebriefing, the simulation scenario, and debriefing, all of which are supported by psychological safety. Prebriefing precedes the entire learning process and is integral to engagement in the simulation and to the effectiveness of the debriefing. Debriefing provides educators with the opportunity to explore and develop those metacognitive skills with learners. In this chapter on evidence-based debriefing, the authors will explore the evidence and theories surrounding best practices in SBE, specifically the prebriefing and debriefing components of the learning experience. The chapter explores the theoretical foundation of SBE and theory-based debriefing; educational best practices of prebriefing as an integral part of an effective debriefing; theory-based debriefing models; research evidence of debriefing outcomes; evaluation of the prebriefing and debriefing process; and finally, provides recommendations on the priorities for further research in debriefing. Within this chapter, the term educator is inclusive of undergraduate, graduate, and professional development nurse educators and reflects the educator role in SBE.
{"title":"Evidence-Based Debriefing.","authors":"Kate J Morse, Mary K Fey, Susan Gross Forneris","doi":"10.1891/0739-6686.39.129","DOIUrl":"https://doi.org/10.1891/0739-6686.39.129","url":null,"abstract":"<p><p>Ongoing shifts in the healthcare system require practitioners who possess metacognitive skills to evaluate their decisions and the thinking and rationale guiding those decisions. In an effort to design learning activities that support metacognition in nursing education, undergraduate and graduate faculty, are embracing simulation-based education (SBE) as an effective teaching and learning strategy. SBE includes prebriefing, the simulation scenario, and debriefing, all of which are supported by psychological safety. Prebriefing precedes the entire learning process and is integral to engagement in the simulation and to the effectiveness of the debriefing. Debriefing provides educators with the opportunity to explore and develop those metacognitive skills with learners. In this chapter on evidence-based debriefing, the authors will explore the evidence and theories surrounding best practices in SBE, specifically the prebriefing and debriefing components of the learning experience. The chapter explores the theoretical foundation of SBE and theory-based debriefing; educational best practices of prebriefing as an integral part of an effective debriefing; theory-based debriefing models; research evidence of debriefing outcomes; evaluation of the prebriefing and debriefing process; and finally, provides recommendations on the priorities for further research in debriefing. Within this chapter, the term educator is inclusive of undergraduate, graduate, and professional development nurse educators and reflects the educator role in SBE.</p>","PeriodicalId":35733,"journal":{"name":"Annual review of nursing research","volume":"39 1","pages":"129-148"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38811282","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}
Pub Date : 2020-12-01DOI: 10.1891/0739-6686.39.181
Crystel L Farina, Kellie Bryant
Simulation pedagogy and the operations of simulation-based experiences have become an integral part of healthcare education. Academic and healthcare institutions constructed simulation centers or dedicated simulation spaces to provide simulation-based experiences for multiple health professions. Architectural designs resemble acute care settings that have the flexibility to change or include virtual reality and enhanced technology. Professional organizations have standards of best practice, credentialing requirements, and accreditation standards that support the need for high-quality, high-fidelity simulation experiences. Within healthcare education, simulation operation has become a specialty in itself that requires knowledge and experience of healthcare, education, and simulation pedagogy (INACSL Standards Committee, 2017). Simulation center administration needs an understanding of personnel management, including standardized patients (SPs), staff, faculty, and learners, as well as knowledge of budgeting, revenue streams, and technology. Personnel with unique skills and knowledge in engineering, healthcare, or information technology are required to support the simulation activities. Resources that manage inventory, supplies, equipment assets, and audiovisual requirements will increase efficiency and enhance fiscal responsibility. Technology assets such as high-fidelity human patient simulators can be used to enhance high-quality simulation, while audiovisual and data capturing software can be used for assessment, evaluation, and quality improvement. Simulation operations provides the infrastructure that supports the daily activities of simulation-based education.
{"title":"Simulation-Based Operations.","authors":"Crystel L Farina, Kellie Bryant","doi":"10.1891/0739-6686.39.181","DOIUrl":"https://doi.org/10.1891/0739-6686.39.181","url":null,"abstract":"<p><p>Simulation pedagogy and the operations of simulation-based experiences have become an integral part of healthcare education. Academic and healthcare institutions constructed simulation centers or dedicated simulation spaces to provide simulation-based experiences for multiple health professions. Architectural designs resemble acute care settings that have the flexibility to change or include virtual reality and enhanced technology. Professional organizations have standards of best practice, credentialing requirements, and accreditation standards that support the need for high-quality, high-fidelity simulation experiences. Within healthcare education, simulation operation has become a specialty in itself that requires knowledge and experience of healthcare, education, and simulation pedagogy (INACSL Standards Committee, 2017). Simulation center administration needs an understanding of personnel management, including standardized patients (SPs), staff, faculty, and learners, as well as knowledge of budgeting, revenue streams, and technology. Personnel with unique skills and knowledge in engineering, healthcare, or information technology are required to support the simulation activities. Resources that manage inventory, supplies, equipment assets, and audiovisual requirements will increase efficiency and enhance fiscal responsibility. Technology assets such as high-fidelity human patient simulators can be used to enhance high-quality simulation, while audiovisual and data capturing software can be used for assessment, evaluation, and quality improvement. Simulation operations provides the infrastructure that supports the daily activities of simulation-based education.</p>","PeriodicalId":35733,"journal":{"name":"Annual review of nursing research","volume":"39 1","pages":"181-200"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38811284","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}
Pub Date : 2020-12-01DOI: 10.1891/0739-6686.39.201
Penni I Watts, Beth Fentress Hallmark, Sabrina Beroz
Professional development in simulation methodologies is essential for implementation of quality, consistent, simulation-based experiences. Evidence demonstrates that participation in comprehensive training positively impacts learner outcomes. There are many benefits to professional development, however, challenges exist requiring thoughtful planning, administrative buy-in, and fiscal support. While there are no established guidelines, the literature provides an ongoing consensus related to overall concepts and strategies for training in simulation. We describe a continuum of growth for simulationists, ranging from novice/advanced beginner, competent/proficient, to expert. As a novice, one must conduct a self-assessment of current strengths and create a development plan to advance simulation skills and knowledge. A simulationist should use evidenced-base guidelines, mentorship, and feedback to inform simulation practices. They should be knowledgeable of the standards of best practice, modalities, simulation design, learning theories, and professional integrity. Simulationists must seek ongoing advancement through certification, scholarship, and lifelong learning. This chapter describes the continuum of education and methodologies for the development of simulationists.
{"title":"Professional Development for Simulation Education.","authors":"Penni I Watts, Beth Fentress Hallmark, Sabrina Beroz","doi":"10.1891/0739-6686.39.201","DOIUrl":"https://doi.org/10.1891/0739-6686.39.201","url":null,"abstract":"<p><p>Professional development in simulation methodologies is essential for implementation of quality, consistent, simulation-based experiences. Evidence demonstrates that participation in comprehensive training positively impacts learner outcomes. There are many benefits to professional development, however, challenges exist requiring thoughtful planning, administrative buy-in, and fiscal support. While there are no established guidelines, the literature provides an ongoing consensus related to overall concepts and strategies for training in simulation. We describe a continuum of growth for simulationists, ranging from novice/advanced beginner, competent/proficient, to expert. As a novice, one must conduct a self-assessment of current strengths and create a development plan to advance simulation skills and knowledge. A simulationist should use evidenced-base guidelines, mentorship, and feedback to inform simulation practices. They should be knowledgeable of the standards of best practice, modalities, simulation design, learning theories, and professional integrity. Simulationists must seek ongoing advancement through certification, scholarship, and lifelong learning. This chapter describes the continuum of education and methodologies for the development of simulationists.</p>","PeriodicalId":35733,"journal":{"name":"Annual review of nursing research","volume":"39 1","pages":"201-221"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38811285","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}
Pub Date : 2020-12-01DOI: 10.1891/0739-6686.39.225
Michelle Aebersold, Dawne-Marie Dunbar
The use of simulation in nursing education is an integrated part of the curriculum and has demonstrated the benefit for learning in nursing students at all levels. The next stage in simulation-based learning will utilize the wide variety of new technologies that are currently available, including virtual and augmented reality. The use of these new technologies brings with it a need for standard definitions, evaluation of its impact on learning, and new opportunities for research. Efforts are underway to standardized definitions and publish early findings on research using these new technologies. There are many opportunities available for nursing educators to create a new era of simulation-based learning methodologies by incorporating virtual and augmented realities in their curriculum. The state of the science is showing promising outcomes and commercial products are maturing.The utilization of these new technologies should be approached in the same way as other learning methodologies as many new ideas and ways of learning are emerging in this area. It will be critical for nursing educators and faculty to determine the optimal ways to utilize them.
{"title":"Virtual and Augmented Realities in Nursing Education: State of the Science.","authors":"Michelle Aebersold, Dawne-Marie Dunbar","doi":"10.1891/0739-6686.39.225","DOIUrl":"https://doi.org/10.1891/0739-6686.39.225","url":null,"abstract":"<p><p>The use of simulation in nursing education is an integrated part of the curriculum and has demonstrated the benefit for learning in nursing students at all levels. The next stage in simulation-based learning will utilize the wide variety of new technologies that are currently available, including virtual and augmented reality. The use of these new technologies brings with it a need for standard definitions, evaluation of its impact on learning, and new opportunities for research. Efforts are underway to standardized definitions and publish early findings on research using these new technologies. There are many opportunities available for nursing educators to create a new era of simulation-based learning methodologies by incorporating virtual and augmented realities in their curriculum. The state of the science is showing promising outcomes and commercial products are maturing.The utilization of these new technologies should be approached in the same way as other learning methodologies as many new ideas and ways of learning are emerging in this area. It will be critical for nursing educators and faculty to determine the optimal ways to utilize them.</p>","PeriodicalId":35733,"journal":{"name":"Annual review of nursing research","volume":"39 1","pages":"225-242"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38811286","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}