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Relevant bibliographies by topics / High Fidelity Patient Simulator

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Academic literature on the topic 'High Fidelity Patient Simulator'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "High Fidelity Patient Simulator"

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Ohmori, M. "Creating Hemodialysis Patient Simulator Using High Fidelity Patient Simulator." Iryou kikigaku (The Japanese journal of medical instrumentation) 79, no. 1 (2009): 27–31. http://dx.doi.org/10.4286/jjmi.79.27.

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Macnamara, Alexandra Frances, Katie Bird, Alan Rigby, Thozhukat Sathyapalan, and David Hepburn. "High-fidelity simulation and virtual reality: an evaluation of medical students’ experiences." BMJ Simulation and Technology Enhanced Learning 7, no. 6 (2021): 528–35. http://dx.doi.org/10.1136/bmjstel-2020-000625.

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BackgroundSimulation technology is widely used in medical education, providing an environment in which students can develop and practise a multitude of skills that are relevant to clinical practice, without the risk of harm to patients.MethodsWe conducted a mixed methods cross-over study with quantitative and qualitative outcomes. This analysed students’ perceptions of two simulation technologies: a high-fidelity patient simulator and virtual reality. Twenty final year medical students completed a questionnaire after having experienced both simulation modalities.ResultsStudents scored the pati

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Schebesta, Karl, Michael Hüpfl, Bernhard Rössler, Helmut Ringl, Michael P. Müller, and Oliver Kimberger. "Degrees of Reality." Anesthesiology 116, no. 6 (2012): 1204–9. http://dx.doi.org/10.1097/aln.0b013e318254cf41.

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Background Human patient simulators and airway training manikins are widely used to train airway management skills to medical professionals. Furthermore, these patient simulators are employed as standardized "patients" to evaluate airway devices. However, little is known about how realistic these patient simulators and airway-training manikins really are. This trial aimed to evaluate the upper airway anatomy of four high-fidelity patient simulators and two airway trainers in comparison with actual patients by means of radiographic measurements. The volume of the pharyngeal airspace was the pri

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SAKAGUCHI, Yoshiro, Masamune TOMINAGA, and Shosuke TAKAHASHI. "Use of High Fidelity Human Patient Simulator for Medical Students." JOURNAL OF JAPAN SOCIETY FOR CLINICAL ANESTHESIA 24, no. 7 (2004): 322–26. http://dx.doi.org/10.2199/jjsca.24.322.

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KAMINOH, Yoshiroh, and Chikara TASHIRO. "Customization of Monitor-Emulator of High-Fidelity Human Patient Simulator." JOURNAL OF JAPAN SOCIETY FOR CLINICAL ANESTHESIA 24, no. 7 (2004): 360–69. http://dx.doi.org/10.2199/jjsca.24.360.

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Kim, Jiyoung, and Narae Heo. "Effects of Simulation Education using a High-Fidelity Simulator Combined with Standard Patient." Korean Association For Learner-Centered Curriculum And Instruction 17, no. 23 (2017): 333–53. http://dx.doi.org/10.22251/jlcci.2017.17.23.333.

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Yee, Bevan, Viren N. Naik, Hwan S. Joo, et al. "Nontechnical Skills in Anesthesia Crisis Management with Repeated Exposure to Simulation-based Education." Anesthesiology 103, no. 2 (2005): 241–48. http://dx.doi.org/10.1097/00000542-200508000-00006.

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Background Critical incident reporting and observational studies have identified nontechnical skills that are vital to successful anesthesia crisis management. Examples of such skills include task management, team working, situation awareness, and decision making. These skills are not necessarily acquired through clinical experience and may need to be specifically taught. This study uses a high-fidelity patient simulator to assess the effect of repeated exposure to simulated anesthesia crises on the nontechnical skills of anesthesia residents. Methods After institutional research board approva

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KAMINOH, Yoshiroh, Masaaki TANIMOTO, Fujio YANAMOTO, Saburo TSUJIMOTO, and Chikara TASHIRO. "Training Program of Inhalation Anesthesia Using High-Fidelity Human Patient Simulator." JOURNAL OF JAPAN SOCIETY FOR CLINICAL ANESTHESIA 24, no. 7 (2004): 346–52. http://dx.doi.org/10.2199/jjsca.24.346.

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Savage, Erin C., Catherine Tenn, Oshin Vartanian, et al. "A comparison of live tissue training and high-fidelity patient simulator." Journal of Trauma and Acute Care Surgery 79 (October 2015): S157—S163. http://dx.doi.org/10.1097/ta.0000000000000668.

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Kim, Ahrin. "Effects of Maternity Nursing Simulation using High-fidelity Patient Simulator for Undergraduate Nursing Students." Journal of the Korea Academia-Industrial cooperation Society 17, no. 3 (2016): 177–89. http://dx.doi.org/10.5762/kais.2016.17.3.177.

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Dissertations / Theses on the topic "High Fidelity Patient Simulator"

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Nehring, Wendy M., and D. Dubose. "Integrating High-Fidelity Patient Simulation in Nursing Education." Digital Commons @ East Tennessee State University, 2009. https://dc.etsu.edu/etsu-works/6734.

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Durham, Jane K. "Knowledge Accessed and Used by Nursing Education Students During a High Fidelity Patient Simulator Experience." University of Toledo / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1501518620737791.

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Riess, Dawn. "Effects of Simulated Clinical Experiences on Empathy, Self-confidence, and Satisfaction in Nursing Students." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5410.

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Empathetic communication enhances the nurse-patient relationship and improves patient outcomes and needs to be taught and evaluated during simulated clinical experiences. Experience in healthcare education has shown students' empathy levels decrease over time. The purpose of this quasi-experimental pretest posttest, study was to compare nursing students' empathy levels, self-confidence, and satisfaction with simulation between the use of the high-fidelity manikin simulator (HFMS) and a standardized patient (SP) used during their simulated clinical experience. Kolb's experiential learning theor

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Nehring, Wendy M. "A Synthesis of Theory and Nursing Research Using High-Fidelity Patient Simulation." Digital Commons @ East Tennessee State University, 2009. https://dc.etsu.edu/etsu-works/6717.

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Book Summary: High Fidelity Patient Simulation in Nursing Education is a comprehensive guide to developing and implementing a high-fidelity patient simulation in a clinical setting. It is a necessary primer for administrators and nursing programs starting out with this technology. It includes examples for setting up a simulator program for nurses, developing and implementing this technology into particular clinical and laboratory courses, and setting up refresher courses in hospital settings. The text features appendices and case scenarios.

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Nehring, Wendy M., Teressa Wexler, Faye Hughes, and Audry Greenwell. "Faculty Development for the Use of High-Fidelity Patient Simulation: A Systematic Review." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/ijhse/vol1/iss1/4.

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This is a systematic review of the research data between 1995 and June 2013 concerning faculty development in the use of high-fidelity patient simulation for health professionals and students with a search of the following databases: CINAHL, Nursing and Allied Health Collection: Comprehensive, OVID Medline, ScienceDirect, PubMed, Scopus, and ProQuest Dissertation/Theses Database. The primary search terms were high-fidelity patient simulation and faculty development. Reference lists from relevant articles were also reviewed. Twenty-five studies were included for this review. The majority of the

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Nehring, Wendy M. "Examining the Efficacy of the Use of High-Fidelity Patient Simulators in Nursing Education." Digital Commons @ East Tennessee State University, 2009. https://dc.etsu.edu/etsu-works/6735.

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Dunnington, Renee M. "The Nature and Determinants of Presence Among Nursing Students Participating in High Fidelity Human Patient Simulation." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1329957926.

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Seago, Trena. "A DEBRIEFING TECHNIQUE IN HIGH-FIDELITY PATIENT SIMULATION AND COMPETENT DECISION-MAKING ABILITIES AMONG NURSING STUDENTS." UKnowledge, 2016. https://uknowledge.uky.edu/edc_etds/18.

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Nursing faculty are utilizing high-fidelity patient simulation (HPS) with debriefing to help engage nursing students in making competent clinical decisions. This quasi-experimental study examined the use of HPS with debriefing and students’ ability to make nursing care decisions using standardized exams. The experimental group received debriefing after HPS and the control group did not receive debriefing after HPS. The pre- and post-test assessed participants’ ability to make clinical care decisions. The analysis of the pre-test and post-test HESI scores showed that there was no significant di

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Nehring, Wendy M. "15 Years of High-Fidelity Patient Simulation in Nursing Education: Where Are We and Where Are We Going?" Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/6724.

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Rodgers, David L. "The effect of high-fidelity manikin-based patient simulation on educational outcomes in advanced cardiovascular life support courses." Huntington, WV : [Marshall University Libraries], 2007. http://www.marshall.edu/etd/descript.asp?ref=739.

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Books on the topic "High Fidelity Patient Simulator"

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1941-, Lashley Felissa R., ed. High-fidelity patient simulation in nursing education. Jones and Bartlett Publishers, 2010.

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Papelis, Ginger Watson. Simulator effects in a high fidelity driving simulator as a function of visuals and motion. Institute for Simulation and Training, 1995.

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Lewis, Deborah, Marie O’Boyle-Duggan, and Susan Poultney. Communication skills education and training in pre-registration BSc Nursing. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198736134.003.0023.

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Nursing and Midwifery Council educational standards in BSc (Hons) Nursing require students to gain key communication competences to deliver compassionate care in adult, mental health, learning disabilities, and children’s nursing. Competences include using a range of verbal and non-verbal skills to build therapeutic relationships, being respectful of confidential information, addressing diversity issues, and promoting well-being and personal safety. Nurses also need to make reasonable adjustment for patients with disabilities to ensure effective communication. High fidelity simulations using a

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Book chapters on the topic "High Fidelity Patient Simulator"

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La Cerra, Carmen, Angelo Dante, Valeria Caponnetto, et al. "High-Fidelity Patient Simulation in Critical Care Area: A Methodological Overview." In Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98872-6_32.

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Dante, Angelo, Carmen La Cerra, Valeria Caponnetto, et al. "Efficacy of High-Fidelity Patient Simulation in Nursing Education: Research Protocol of ‘S4NP’ Randomized Controlled Trial." In Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98872-6_31.

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Dante, Angelo, Carmen La Cerra, Luca Bertocchi, et al. "Time to Incorporate Artificial Intelligence into High-Fidelity Patient Simulators for Nursing Education: A Secondary Analysis of a Pilot Study." In Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86618-1_23.

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Dante, Angelo, Alessia Marcotullio, Vittorio Masotta, et al. "From High-Fidelity Patient Simulators to Robotics and Artificial Intelligence: A Discussion Paper on New Challenges to Enhance Learning in Nursing Education." In Methodologies and Intelligent Systems for Technology Enhanced Learning, 10th International Conference. Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52287-2_11.

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Ferri, Paola, Rovesti Sergio, Vivarelli Chiara, et al. "The Collaboration Among Pediatric Residents, Nursing and Midwifery Students for Newborn Health: A Quasi-experimental Study on Interprofessional High-Fidelity Patient Simulation." In Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86618-1_20.

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Otake, Yoshito, Masaki Takao, Norio Fukuda, et al. "Registration-Based Patient-Specific Musculoskeletal Modeling Using High Fidelity Cadaveric Template Model." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00928-1_79.

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Cassara, Michael, Robert L. Kerner, and Andrew Drozd. "Creating High-Fidelity and Hybrid Simulations for Residents in Emergency Medicine." In Building a Culture of Patient Safety Through Simulation. Springer Publishing Company, 2015. http://dx.doi.org/10.1891/9780826169075.0006.

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Hopper, Keith B., and Carol L. Johns. "Educational Technology in the Medical Industry." In Wireless Technologies. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-101-6.ch511.

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The enormous U.S. medical industry is a rich laboratory and think tank for technology integration. Higher education in the medical industry is comprised of a large number of professional training programs as well as formidable continuing medical education. Continuing education for medical professionals is inconsistent and flawed. Technology integration in medical fields has mirrored the false starts and frustrations seen generally in higher education. There are promising areas of investigation such as high-fidelity patient simulators and incorporation of wireless handheld devices for point-of-care reference information and best practices. Widespread adoption of electronic medical records may allow medical education researchers to link instructional practices to eventual patient outcomes, with implications for higher education.

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Hopper, Keith B., and Carol L. Johns. "Educational Technology in the Medical Industry." In Technology Integration in Higher Education. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-147-8.ch011.

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The enormous U.S. medical industry is a rich laboratory and think tank for technology integration. Higher education in the medical industry is comprised of a large number of professional training programs as well as formidable continuing medical education. Continuing education for medical professionals is inconsistent and flawed. Technology integration in medical fields has mirrored the false starts and frustrations seen generally in higher education. There are promising areas of investigation such as high-fidelity patient simulators and incorporation of wireless handheld devices for point-of-care reference information and best practices. Widespread adoption of electronic medical records may allow medical education researchers to link instructional practices to eventual patient outcomes, with implications for higher education.

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Epstein, Jason H., Andrew Goldberg, Marina Krol, and Adam Levine. "Virtual Tools in Medical Education." In Learning Management Systems and Instructional Design. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3930-0.ch019.

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Technology has become ubiquitous throughout medical education. Currently there is a wide range of tools that can be used to supplement traditional classroom and clinical learning. Simulators and mobile devices are among the tools that may make an especially significant impact on educating medical practitioners. Simulators range from simple part-task trainers to complex high-fidelity human patient simulators. Internet-enabled handheld portable computers such as the iPad® have begun to revolutionize and expand the medical classroom to even further reaches. Instructional design principles maintain that these technologies can and should be used to allow practitioners to learn by playing. Blind investment in these technologies, however, can quickly turn these technologies into a waste of time and money. We present principles intended to ensure that factors such as cost, size and technological expertise are taken into consideration when investing in such technologies for medical education. Following these principles will allow a medical department to optimize the cost-benefit ratio of an investment in simulation and portable computer technology for medical education.

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Conference papers on the topic "High Fidelity Patient Simulator"

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Radford, Adam. "41 Secondary care based pre-registration pharmacist (PRP) workshop simulation using a high fidelity manikin patient simulator." In Abstracts of the Association for Simulation Practice in Healthcare (ASPiH) Annual Conference. 15th to 17th November 2016, Bristol, UK. The Association for Simulated Practice in Healthcare, 2016. http://dx.doi.org/10.1136/bmjstel-2016-000158.93.

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Yuan, Hao Bin. "SIMULATED PATIENT TRAINING FOR HEALTH ASSESSMENT IN A HIGH-FIDELITY NURSING SIMULATION." In 11th International Conference on Education and New Learning Technologies. IATED, 2019. http://dx.doi.org/10.21125/edulearn.2019.0037.

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Helyer, RJ. "23 Demonstrating key principles of physiology using high-fidelity human patient simulation." In Abstracts of the Association for Simulation Practice in Healthcare (ASPiH) Annual Conference. 15th to 17th November 2016, Bristol, UK. The Association for Simulated Practice in Healthcare, 2016. http://dx.doi.org/10.1136/bmjstel-2016-000158.75.

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Clatworthy, Tracey, and Peter Isherwood. "0048 Improving patient involvement in DNACPR discussions with a high fidelity simulation course." In Conference Proceedings of the Association for Simulation Practice in Healthcare (ASPiH) Annual Conference. 3rd to 5th November 2015, Brighton, UK. The Association for Simulated Practice in Healthcare, 2015. http://dx.doi.org/10.1136/bmjstel-2015-000075.103.

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Perosky, Joseph, Abdul Aref, Daniel Westcott, et al. "A Low-Cost Cricothyroidotomy Trauma Simulator With a Real Time Vital Signs Feedback System." In ASME 2010 5th Frontiers in Biomedical Devices Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/biomed2010-32078.

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Many trauma related surgical procedures cannot ethically be practiced by medical students or inexperienced doctors. Therefore, medical simulators that provide high anatomical and procedural fidelity are used. One of the most important things to monitor during such a procedure is the vital signs of the patient. One procedure for which this is important is a cricothyroidotomy, in which an incision through the skin and cricothyroid membrane is made to secure a patient’s airway during certain emergency situations in which an airway obstruction is present. The amount of cases per doctor is further

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Kramer, Violet, Allison S. Friedenberg, Eric Bonura, et al. "Development And Application Of A Behavior-based Tool To Assess Internal Medicine Resident Leadership Skills Using A High-fidelity Patient Simulator." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a4297.

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Evans, Laura, Eleanor Douglas, Paul Bailey, and Fiona Moffatt. "P17 Developing undergraduate physiotherapy skills in assessing the acutely ill patient using high fidelity simulation." In Abstracts of the Association of Simulated Practice in Healthcare, 10th Annual Conference, Belfast, UK, 4–6 November 2019. The Association for Simulated Practice in Healthcare, 2019. http://dx.doi.org/10.1136/bmjstel-2019-aspihconf.122.

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Lee, Po-Chih, Arthur G. Erdman, Charles Ledonio, and David Polly. "A Framework of Simulating Virtual Spine Patients to Assess Thoracic Volume Variations due to Wedging Deformities." In 2018 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dmd2018-6853.

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In 1964, Dr. Barrows first introduced the standardized patients, who are individuals trained to imitate the pathological symptoms of the real patients, and involved them in teaching and clinical skills assessment for healthcare education. In recent decades, the application of the virtual patient has been rapidly grown and has been widely used in clinical or educational practice among residents, surgeons, or other medical professionals because the virtual patient is cost-effective and time-efficient [1]. The Food and Drug Administration (FDA) collaborated with the Foundation of Research on Info

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Gibb, JA, A. Vasudev, L. Day, ZJ Palmer, and RJ Helyer. "39 Demonstrating the physiological basis of the life-threatening conditions hypothermia, hyperthermia and malignant-hyperthermia using the high-fidelity human patient simulator (HPS)." In Abstracts of the Association for Simulation Practice in Healthcare (ASPiH) Annual Conference. 15th to 17th November 2016, Bristol, UK. The Association for Simulated Practice in Healthcare, 2016. http://dx.doi.org/10.1136/bmjstel-2016-000158.91.

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Zhang, Yongjie, Wenyan Wang, Xinghua Liang, et al. "High-Fidelity Finite Element Mesh Generation for Fluid-Structure Interaction Analysis of Cerebral Aneurysms." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206228.

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Nowadays approximately 3–6% of the population is estimated to have unruptured cerebral aneurysms. The rupture risk of aneurysms can be predicted by using computational tools and patient-specific models. As an ideal method, we can assess the risk factors by determining the blood tension and the material strength of the wall tissue in the aneurisms. Although it is hard to obtain aneurismal material strength without invasive measurement, it is possible to estimate the wall tension by numerical simulation [1].

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Reports on the topic "High Fidelity Patient Simulator"

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Flueck, Alex. High Fidelity, “Faster than Real-Time” Simulator for Predicting Power System Dynamic Behavior - Final Technical Report. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1369569.

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