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Relevant bibliographies by topics / Virtual patient simulation

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Academic literature on the topic 'Virtual patient simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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Journal articles on the topic "Virtual patient simulation"

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Nystrom, Daniel T., Douglas E. Paull, Ashley N. D. Meyer, and Hardeep Singh. "Virtual Patient Simulation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 533–37. http://dx.doi.org/10.1177/1541931213601123.

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Medical diagnosis has begun to draw attention as a patient safety concern that is valid, yet difficult to study. In the current study, we implement a virtual patient simulation to assess different information sampling techniques practiced by a variety of health care providers including physicians, nurses, health technicians, and pharmacists who were tasked with diagnosing a virtual patient. Results suggest there are three different information sampling approaches used to arrive at a medical diagnosis: iteration, batch, and haste. In the iterative approach, clinicians sampled a series of hypothesis-generating sources of information (e.g., patient history, physical exam, etc.) that were immediately followed by a series of diagnostic tests (e.g., X-ray, EKG, etc.) and this process was repeated for 2-4 cycles before arriving at a diagnosis. In the batch approach, hypothesis-generating sources of information were sampled in a single series or “batch” that was then followed by a single series of diagnostic tests. In the haste approach, only a few sources of hypothesis-generating information were sampled before arriving at a medical diagnosis, and none of the information sampled was tested using diagnostic tests. Results suggest virtual patient simulation is a useful format to observe the emergence of clinicians’ diagnostic process and to collect a variety of measures and outcomes associated with medical diagnosis.

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Bond, William F., Teresa J. Lynch, Matthew J. Mischler, Jessica L. Fish, Jeremy S. McGarvey, Jason T. Taylor, Dipen M. Kumar, et al. "Virtual Standardized Patient Simulation." Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 14, no. 4 (August 2019): 241–50. http://dx.doi.org/10.1097/sih.0000000000000373.

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Waghale, Vedantika, Ujwalla Gawande, Gaurav Mahajan, and Shriram Kane. "Virtual Patient Simulation- an Effective Key Tool for Medical Students Enhancing Diagnostic Skills." ECS Transactions 107, no. 1 (April 24, 2022): 16191–97. http://dx.doi.org/10.1149/10701.16191ecst.

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Virtual technology advancements have made it easier to recreate reality using virtual or simulation-basedpatients shown on a digital screen.virtual clinical simulation is a computer-based representation of reality in which actual individuals interact with simulated systems. It's a simulation that puts players in the middle lane by putting their decision-making, motor control, and communication abilities to the test. Virtual patients are used in active and realistic clinical contexts spanning from hospital to outpatient clinics in clinical virtual simulation. Advances in digital and virtual technologies have made it simpler to replicate reality using virtual patients projected on a computer display.Early education is commonly dominated by the presenting of knowledge in a theoretical and science-oriented manner, with few links to clinical practise. Orientation toward specialised disciplines leads to information fragmentation, a mismatch of competencies to requirements, and a restricted holistic picture of the patient. As a result,Academics have been looking for techniques to make health professional education more interesting, achieve a higher audience, and be more efficient. Virtual patient simulations are now being taught at medical schools around the country. It's hard to estimate the global adoption rate, but early indications suggest that it's high and that demand is growing. Virtual patient simulations were used in 26 out of 108 responding medical schools in the United States and Canada, according to a study performed by Huang et al in 2005. In 2016, it was stated that the MedU virtual patient gathering was being used at 130 medical schools in those nations.

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Willaert, Willem I. M., Rajesh Aggarwal, Isabelle Van Herzeele, Nicholas J. Cheshire, and Frank E. Vermassen. "Recent Advancements in Medical Simulation: Patient-Specific Virtual Reality Simulation." World Journal of Surgery 36, no. 7 (April 25, 2012): 1703–12. http://dx.doi.org/10.1007/s00268-012-1489-0.

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Botezatu, Mihaela, Håkan Hult, Mesfin Kassaye Tessma, and Uno Fors. "Virtual patient simulation: Knowledge gain or knowledge loss?" Medical Teacher 32, no. 7 (July 2010): 562–68. http://dx.doi.org/10.3109/01421590903514630.

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Larkin, Amy, Stacey Hughes, Martin Warters, and Gwen Littman. "VASODILATORY SHOCK: CAN VIRTUAL PATIENT SIMULATION IMPROVE MANAGEMENT?" Chest 156, no. 4 (October 2019): A1006. http://dx.doi.org/10.1016/j.chest.2019.08.931.

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Parikh, Dhwani, and Marisa Kollmeier. "Guidelines and workflow for virtual simulation." Journal of Clinical Oncology 40, no. 28_suppl (October 1, 2022): 49. http://dx.doi.org/10.1200/jco.2022.40.28_suppl.049.

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49 Background: An important component of radiation treatment planning is the CT simulation which involves several steps including patient positioning, imaging in the treatment position, and placement of an isocenter, a point through which the central rays of the radiation beams pass. As radiation therapy is an important component of palliative treatment for metastatic cancer, some patients require multiple courses which may be temporally proximate. This creates a burden for patients who may be challenged with regard to mobility, distance, and logistics coordinating travel to the department. We sought a clinical workflow that maintains the integrity of the simulation process but allows the potential use of previously obtained treatment planning imaging to create a new treatment plan (i.e. virtual CT simulation). We present our workflow and experience here. Methods: A multidisciplinary group developed a virtual simulation workflow and identified critical criteria to safely and reliably proceed with virtual simulation. These included: time from initial CT simulation (< 14 days), adequacy of patient positioning and immobilization, as well as appropriate inclusion of the entire “virtual” planning treatment volume (PTV) and organs at risk (OARs) in the original scan. Specific virtual simulation care paths were created in treatment planning software (Aria®, Varian Medical Systems) for case tracking. A pilot was initiated to monitor the workflow for the first 10 patients and corrections to the workflow were made. Thereafter the program was randomly audited and the QA reporting system monitored for reported error events. Results: The virtual simulation workflow pilot was initiated in June 2020. Of the first 50 virtual simulation requests, 48 were approved (96%). Two cases were denied due to inadequate immobilization. There was only one event reported pertaining to set up uncertainty requiring clarification from physics. Conclusions: Given the success of the virtual simulation criteria and workflow we will continue this practice and will monitor the cases as well as RISQ events closely. Based on feedback we have received we will expand the window of time to request a virtual simulation from 14 days to 21 days after original simulation and will also allow for up to 3 virtual isocenters to be placed.

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Kim, Byeol, Warren Schwartz, Danny Catacora, and Monifa Vaughn-Cooke. "Virtual Reality Behavioral Therapy." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 356–60. http://dx.doi.org/10.1177/1541931213601081.

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Mental health and substance abuse patients face many challenges in receiving effective long-term outpatient behavioral therapies, including issues related to accessibility and personalized care. Mobile health technologies, particularly those integrating virtual reality (VR), are increasingly becoming more accessible and affordable, thus providing a potential avenue to deploy outpatient behavioral therapy. This paper proposes a method to address the aforementioned challenges by personalizing and validating VR simulation content for behavioral therapy. An initial demonstration will be performed for tobacco cessation, which is a critical public health treatment area for mental illness and substance abuse. The method empirically builds smoker personas from theoretically grounded survey content. The personas are then used to design and pilot VR simulation modules tailored to behavioral interventions, which will be tested in the patient population. The VR simulation will record a subject’s emotions and brain activities in real-time through subjective (surveys) and objective (neurophysiology) measures of emotional response. The overall goal of the study is to validate the VR content by demonstrating that significant differences are seen in emotional response when presenting content personalized for the patient.

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Mudunkotuwe, J., V. Mannali, J. Henry, J. Clift, and P. Strickland. "Digitised remote delivery of simulation in psychiatry during the pandemic and for the future." European Psychiatry 65, S1 (June 2022): S199. http://dx.doi.org/10.1192/j.eurpsy.2022.523.

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Introduction Surrey and Borders NHS Foundation Trust’s AVATr (Augmented Virtual-reality Avatar in Training) is a unique ground-breaking Virtual Patient simulation system, which uses the Xenodu platform to train learners in essential clinical and complex communication skills. Over 30 patient scenarios have been developed after identifying learner-specific development needs, including exploration of overt psychosis, assessment of capacity, sharing bad news, and neglect in care home residents. During the session, the trainee is projected on to a large screen, using a camera and video special effects, which results in a life-like interaction with the Virtual Patient. Trainees can view themselves interacting with the Virtual Patient in real-time, from a unique ’out-of-body’ perspective, immersed in a customdesigned interactive virtual environment. This is different to a first-person perspective used in virtual or augmented-reality systems in several clinical specialties. During the COVID-19 pandemic, we evolved the AVATr model to remote or hybrid sessions, where simulations were digitally enhanced, and have been run through Microsoft Teams. The simulation facilitator is connected to a multi-user video call, enabling the Virtual Patient to be projected as an attendee using Microsoft Teams. Objectives To evaluate the feedback from Doctors in training taking part on the education sessions. Methods We collected qualitiative and quanttaive infromation from participants after the teaching session. Results We received strongly positive reults in all parameters measured. the presenters will show a detailed breakdoen in the session. Conclusions The digitalised delivery of the virtual patient simulation, has been pivotal in limiting interruptions to communication skills training in mental health. Disclosure The NHS trust has co produced the simulation platform with a private software firm Xenadu Virtual Environments

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Niederer, S. A., Y. Aboelkassem, C. D. Cantwell, C. Corrado, S. Coveney, E. M. Cherry, T. Delhaas, et al. "Creation and application of virtual patient cohorts of heart models." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2173 (May 25, 2020): 20190558. http://dx.doi.org/10.1098/rsta.2019.0558.

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Patient-specific cardiac models are now being used to guide therapies. The increased use of patient-specific cardiac simulations in clinical care will give rise to the development of virtual cohorts of cardiac models. These cohorts will allow cardiac simulations to capture and quantify inter-patient variability. However, the development of virtual cohorts of cardiac models will require the transformation of cardiac modelling from small numbers of bespoke models to robust and rapid workflows that can create large numbers of models. In this review, we describe the state of the art in virtual cohorts of cardiac models, the process of creating virtual cohorts of cardiac models, and how to generate the individual cohort member models, followed by a discussion of the potential and future applications of virtual cohorts of cardiac models. This article is part of the theme issue ‘Uncertainty quantification in cardiac and cardiovascular modelling and simulation’.

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Dissertations / Theses on the topic "Virtual patient simulation"

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Dower, L., M. Overbey, J. Russell, and Deborah Ricker. "Following a Patient from Virtual Simulation to Simulation Lab and Into the Classroom." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/8540.

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Sanderson, Elizabeth Anne. "Evaluating the Use Of A Virtual Reality Patient Simulator an An Educational Tool In An Audiological Setting." Thesis, University of Canterbury. Communication Disorders, 2013. http://hdl.handle.net/10092/10368.

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There is currently an international shortage of Audiologists (McIntyre, 2010). Audiology is a professional degree undertaken at a postgraduate level at most universities around the world. Students have training in anatomy and physiology, hearing aids, cochlear implants, electrophysiology and acoustics; combined with a clinical component to the course. The clinical component is undertaken throughout the entirety of the course and involves a mixture of observation and supervised clinical practice in a variety of settings. Clinical training often begins with students crowded around a single piece of equipment, such as an audiometer for testing puretone-hearing thresholds or by pairing up and simulating a hearing loss. This process creates time and access constraints for students as it restricts their ability to practice performing audiometry, particularly if there is a shortage of equipment, and also limits their exposure to a wide variety of hearing loss pathologies. The potential for universities worldwide to use Virtual Reality and Computer Based Simulations to provide Audiology students with basic clinical skills without relying on extensive support from external clinics warrants further investigation. In particular, it needs to be determined whether Audiology students value these simulations as a useful supplement to their clinical training, and whether the use of these simulations translates into measurable improvements in student abilities in real clinical placements. A computer based training program for Audiology students developed at the Human Interface Technology Lab (HITLAB) New Zealand is evaluated in this study as an educational tool at the University of Canterbury, New Zealand. The present study aims to determine if a sample of twelve first year Audiology students felt their interactions with Virtual Patients improved their ability to interact with clients and perform masking which is often part of a basic audiometric assessment for a patient with hearing loss. The study measures the students’ competency in performing masking in puretone audiometry on the Virtual Patient and then on a patient in a real-world setting to see whether the Audiology Simulator training tool improved the student’s basic audiometry skills (a training effect) and whether these skills were maintained after a period of four weeks (a maintenance effect). Statistical analysis is applied to determine any training and maintenance effects. Students also gave subjective feedback on the usefulness of the simulator and suggestions for ways in which it could be improved. Results indicated that there was no statistically significant training effect between students that had used the Audiology Simulator and those that hadn’t. Once all students had used the Virtual Patient there was an overall maintenance effect present in that student’s scores stayed the same or improved even for those students who had not used the Virtual Patient for a period of time. Students overall reported that they found the Virtual Patient to be ‘Moderately Useful’ and had many recommendations for ways in which it could be improved to further assist their learning.The present study indicates that computer based simulation programs like the Virtual Patient are able to present and simulate realistic hearing losses to an acceptable level of complexity for students studying in the field of audiology and that the Audiology Simulator can be a useful and complementary training tool for components of audiological clinical competence, such as puretone audiometry and masking.

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Barbosa, Ana Paula de Oliveira. "Simulação de práticas clínicas em farmácia : desenvolvimento de estrutura e simulador de processo de cuidado à saúde." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/149499.

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Objetivos: Descrever todo o processo de implantação dos laboratórios de prática de simulação farmacêutica e desenvolver e avaliar um simulador virtual de seguimento farmacoterapêutico adaptando o software SIACC. Métodos: Para a implantação dos laboratórios de prática foi realizado o planejamento da área física, incluindo o fluxo de atividades, identificados os materiais e equipamentos necessários a realização das práticas, os procedimentos que ali serão realizados, bem como a validação dos mesmos, por meio de desenvolvimento, avaliação de realização e correção de desenvolvido. Em relação ao simulador, a metodologia do estudo foi realizada em quatro fases: Fase de planejamento: a adaptação do SIACC para o ensino da prática farmacêutica; Fase de uso do simulador; Desempenho dos usuários; Fase de avaliação do simulador que foi realizada utilizando dois instrumentos de avaliação: ISO 9126 e as Dez Regras de Ouro para avaliação de software. A avaliação foi qualitativa e quantitativa. Na avaliação qualitativa, utilizou-se a Técnica do Grupo Nominal. Resultados: No que se refere a implantação dos laboratórios de prática de simulação, o estudo descreveu todas as etapas da implantação dos laboratórios de prática para a formação do profissional farmacêutico. A avaliação do software com base na ISO 9126 mostrou que não houve diferença estatísticas (p < 0,05) das dimensões avaliadas por dois grupos diferentes: estudantes e especialistas. Também não houve diferença estatística (p < 0,05) das dimensões avaliadas em relação a três grupos: os que não utilizam a informática na educação, os que utilizam apenas para fazer apresentação e os que utilizam mais de um recurso computacional na educação. Na avaliação com base nas Dez Regras de Ouro, apenas dois dos dez itens avaliados tiverem a média < 4 (média máxima: 5,0). Os resultados da avaliação qualitativa corroboraram com a avaliação quantitativa. Conclusões: Estes são os resultados da investigação destinada a desenvolver modelos para a aplicação de métodos de aprendizagem ativos usando novas tecnologias que se destina a ser implementado inicialmente na Escola de Farmácia da UFRGS.
Objectives: The aim was to describe the entire implantation process of the simulation practice laboratories and to develop and evaluate a virtual simulator for pharmacotherapeutic follow-up by adapting IASCC software. Methods: In order to set up the laboratories, the planning of the physical area was carried out to include the flow of activities and the materials and the equipment needed were identified. Also, the procedures that would be done were validated through development and evaluation of achievement and then correction was proposed. In relation to simulator, the methodological development study was conducted in four phases: Planning phase: the adaptation of SIACC for pharmaceutical practice teaching; A second phase using the simulator; and a third consisting of grading the performance of users; and finally, the evaluation of software using two instruments: ISO 9126 and the Ten Golden Rules. The assessment was qualitative and quantitative. In qualitative evaluation, was used the Nominal Group Technique. Results: Regarding the implantation of the simulation practice laboratories, the study described all steps needed to set up laboratories for the training of pharmacists. The evaluation based on the ISO 9126 showed that there was no statistical difference (p < 0.05) between the factors evaluated by two different groups: students and experts in this field. Also, there was no statistical difference (p < 0.05) among the factors evaluated by three groups: those who do not use information technology in education, those who use it only to make presentations and those who use more than one IT resource in education. In the evaluation based on the Ten Golden Rules, only two of the ten items evaluated had an average < 4.0 (maximum average: 5.0). The results of the qualitative evaluation corroborate the quantitative assessment. Conclusions: These are the results of the authors’ research aimed to develop models for the application of active learning methods using new technology to be initially implemented at UFRGS School of Pharmacy.

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Chesher, Douglas. "Exploring the use of a web-based virtual patient to support learning through reflection." University of Sydney. Pathology, 2004. http://hdl.handle.net/2123/645.

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This thesis explores the support of learning through reflection, in the context of medical students and practitioners, working through a series of simulated consultations involving the diagnosis and management of chronic illness. A model of the medical consultative process was defined, on which a web-based patient simulation was developed. This simulation can be accessed over the Internet using commonly available web-browsers. It enables users to interact with a virtual patient by taking a history, examining the patient, requesting and reviewing investigations, and choosing appropriate management strategies. The virtual patient can be reviewed over a number of consultations, and the patient outcome is dependant on the management strategy selected by the user. A second model was also developed, that adds a layer of reflection over the consultative process. While interacting with the virtual patient users are asked to formulate and test their hypotheses. Simple tools are included to encourage users to record their observations and thoughts for further learning, as well as providing links to web-based library resources. At the end of each consultation, users are asked to review their actions and indicate whether they think their actions were critical, relevant, or not relevant to the diagnosis and management of the patient in light of their current knowledge. Users also have the opportunity to compare their activity to their peers or an expert in the case under study. Three formal cycles of evaluation were undertaken during the design and development of the software. A number of clinicians were involved in the initial design to ensure there was an appropriate structure that matched clinical practice. Formative evaluation was conducted to review the usability of the application, and based on user feedback a number of changes were made to the user interface and structure of the application. A third, end user, evaluation was undertaken using a single case concerning the diagnosis and management of hypertriglyceridaemia in the context of Type 1B Glycogen Storage Disease. This evaluation involved ten medical students, five general practitioners and two specialists. The evaluation involved observation using a simplified think-aloud, as well as administration of a questionnaire. Users were engaged by the simulation, and were able to use the application with only a short period of training. Usability issues still exist with respect to the processing of natural language input, especially when asking questions of the virtual patient. Until such time that natural language recognition is able to provide satisfactory performance, alternative, list-based, methods of interaction will be required. Evaluation involving medical students, general practitioners, and specialist medical practitioners demonstrated that reflection can be supported and encouraged by providing appropriate tools, as well as by judiciously interrupting the consultative process and providing time for reflection to take place. Reflection could have been further enhanced if users had been educated on reflection as a learning modality prior to using SIMPRAC. Further work is also required to improve the simulation environment, improve the interfaces for supporting reflection, and further define the benefits of using this approach for medical education and professional development with respect to learning outcomes and behavioural change.

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Roomkham, Sirinthip. "Design a simulated multimedia enriched immersive learning environment (SMILE) for nursing care of dementia patient." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/94175/1/Sirinthip_Roomkham_Thesis.pdf.

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This thesis is to establish a framework to guide the development of a simulated, multimedia-enriched, immersive, learning environment (SMILE) framework. This framework models essential media components used to describe a scenario applied in healthcare (in a dementia context), demonstrates interactions between the components, and enables scalability of simulation implementation. The thesis outcomes also include a simulation system developed in accordance with the guidance framework and a preliminary evaluation through a user study involving ten nursing students and practicioners. The results show that the proposed framework is feasible and effective for designing a simulation system in dementia healthcare training.

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Zary, Nabil. "Virtual patients for education, assessment and research : a web-based approach /." Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-272-9/.

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Nehring, Wendy M., and Felissa R. Lashley. "Nursing Simulation: A Review of the Past 40 Years." Digital Commons @ East Tennessee State University, 2009. https://dc.etsu.edu/etsu-works/6706.

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Simulation, in its many forms, has been a part of nursing education and practice for many years. The use of games, computer-assisted instruction, standardized patients, virtual reality, and low-fidelity to high-fidelity mannequins have appeared in the past 40 years, whereas anatomical models, partial task trainers, and role playing were used earlier. A historical examination of these many forms of simulation in nursing is presented, followed by a discussion of the roles of simulation in both nursing education and practice. A viewpoint concerning the future of simulation in nursing concludes this article.

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Boudissa, Mehdi. "Réduction virtuelle des fractures complexes du bassin à l'aide du premier simulateur biomécanique patient-spécifique Computer-assisted surgery in acetabular fractures: Virtual reduction of acetabular fracture using the first patient-specific biomechanical model simulator Computer Assisted Surgery in Preoperative Planning of Acetabular Fracture Surgery: State of the Art." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAS038.

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The aim of this work was to develop and validate a new pre-operative planning in acetabular surgery based on a patient-specific biomechal model. During the first part of this work we brought enhancement in each step of the planning process for acetabular fracture surgery. The first step was to generate 3D models of several acetabular fracture patterns using semi-automatic segmentation methods. In the same time, we showed that the segmented fragments bone could be usefull to correctly classify acetabular fracture by unexperimented residents. The second step was to generate a patient-specific model, in a very simple way, that could be used in clinical practice by surgeons. A literature review of acetabular planning models was performed to identify that a new paradigm was required because of the limitations of the existing models. Once the objectives of patient-specific modelling was identified, a literature review of hips models was performed to record biomechanical properties of the elements that we had to modelize. A compromise between simplicity and realistic behaviour was found to generate patient-specifics biomechanical models, in a limited time, that could be used in clinical practice. Clinical studies on 14 operated cases, then 29 operated cases and finally 39 operated cases, were performed to validate retrospectively the simulations. The results were quite promising. Only open-source softwares with their own weaknesses were used because validity and feasability of the procedure was required before bigger investissment. The proof of concept was done. A prospective clinical study has shown the efficiency of the patient-specific biomechanical simulation and its feasibility in a daily clinical practice. This work opens a door for new approaches in surgical planning and patient-specific modelling
L’objectif de cette thèse est de développer et valider une nouvelle méthode de planification pré-opératoire en chirurgie traumatique de l’acetabulum reposant sur un modèle biomécanique patient-spécifique. La première partie de ce travail a consisté en l’élaboration et l’amélioration progressive de ce nouvel outil de planification. La première étape était de générer des modèles tri-dimensionnels de plusieurs fractures acétabulaires à l’aide d’une méthode de segmentation semi-automatique. Dans le même temps, nous avons démontré que les fragments osseux segmentés pouvaient être utile pour classer correctement les fractures acétabulaires par des internes non expérimentés. La seconde étape était de générer un modèle biomécanique patient-spécifique, le plus simplement possible pour pouvoir être compatible avec une pratique clinique régulière. Une revue de la littérature à propos des différentes méthodes de planifications péri-opératoire en traumatologie de l’acetabulum a été réalisée afin d’identifier qu’un nouveau paradigme était nécessaire du fait des limites des méthodes existantes. Une fois les objectifs d’une modélisation biomécanique patient-spécifique définis, une revue de la littérature des différents modèles biomécanique de la hanche a été réalisée pour définir les propriétés biomécaniques des différents éléments à modéliser. Un compromis entre simplicité et comportement réaliste du modèle a été trouvé pour générer un modèle biomécanique patient-spécifique, dans un temps limité, compatible avec une utilisation courante en pratique clinique. Des études cliniques portant sur 14 cas de fractures acétabulaires opérées, puis 29 et finalement 39 cas ont été réalisées pour valider rétrospectivement les simulations biomécaniques. Les résultats montraient une parfaite adéquation avec la réalité. Seuls des logiciels en libre accès, avec leurs faiblesses, étaient utilisés car la fiabilité et la validité de la simulation étaient nécessaires avant d’envisager plus d’investissements. La preuve de concept était donnée. Enfin, une étude clinique prospective a démontré l’efficacité de la simulation biomécanique patient-spécifique et sa faisabilité en pratique clinique quotidienne. Ce travail ouvre la porte à de nouvelles approches en matière de planification chirurgicale et de modélisation patient-spécifique

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Giovannelli, Luca. "Direct creation of patient-specific Finite Element models from medical images and preoperative prosthetic implant simulation using h-adaptive Cartesian grids." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/113644.

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Se cree que la medicina in silico supondrá uno de los cambios más disruptivos en el futuro próximo. A lo largo de la última década se ha invertido un gran esfuerzo en el desarrollo de modelos computacionales predictivos para mejorar el poder de diagnóstico de los médicos y la efectividad de las terapias. Un punto clave de esta revolución, será la personalización, que conlleva en la mayoría de los casos, la creación de modelos computacionales específicos de paciente, también llamados gemelos digitales. Esta práctica está actualmente extendida en la investigación y existen en el mercado varias herramientas de software que permiten obtener modelos a partir de imágenes. A pesar de eso, para poderse usar en la práctica clínica, estos métodos se necesita reducir drásticamente el tiempo y el trabajo humano necesarios para la creación de los modelos numéricos. Esta tésis se centra en la propuesta de la versión basada en imágenes del Cartesian grid Finite Element Method (cgFEM), una técnica para obtener de forma automática modelos a partir de imágenes y llevar a cabo análisis estructurales lineales de huesos, implantes o materiales heterogéneos. En la técnica propuesta, tras relacionar la escala de los datos de la imágen con valores de propiedades mecánicas, se usa toda la información contenida en los píxeles para evaluar las matrices de rigidez de los elementos que homogenizan el comportamiento elástico de los grupos de píxeles contenidos en cada elemento. Se h-adapta una malla cartesiana inicialmente uniforme a las características de la imágen usando un procedimiento eficiente que tiene en cuenta las propiedades elásticas locales asociadas a los valores de los píxeles. Con eso, se evita un suavizado excesivo de las propiedades elásticas debido a la integración de los elementos en áreas altamente heterogéneas, pero, no obstante, se obtienen modelos finales con un número razonable de grados de libertad. El resultado de este proceso es una malla no conforme en la que se impone la continudad C0 de la solución mediante restricciones multi-punto en los hanging nodes. Contrariamente a los procedimientos estandar para la creación de modelos de Elementos Finitos a partir de imágenes, que normalmente requieren la definición completa y watertight de la geometrá y tratan el resultado como un CAD estandar, con cgFEM no es necesario definir ninguna entidad geométrica dado que el procedimiento propuesto conduce a una definición implícita de los contornos. Sin embargo, es inmediato incluirlas en el modelo en el caso de que sea necesario, como por ejemplo superficies suaves para imponer condiciones de contorno de forma más precisa o volúmenes CAD de dispositivos para la simulación de implantes. Como consecuencia de eso, la cantidad de trabajo humano para la creación de modelos se reduce drásticamente. En esta tesis, se analiza en detalles el comportamiento del nuevo método en problemas 2D y 3D a partir de CT-scan y radiográfias sintéticas y reales, centrandose en tres clases de problemas. Estos incluyen la simulación de huesos, la caracterización de materiales a partir de TACs, para lo cual se ha desarrollado la cgFEM virtual characterisation technique, y el análisis estructural de futuros implantes, aprovechando la capacidad del cgFEM de combinar fácilmente imágenes y modelos de CAD.
Es creu que la medicina in silico suposarà un dels canvis més disruptius en el futur pròxim. Al llarg de l'última dècada, s'ha invertit un gran esforç en el desenvolupament de models computacionals predictius per millorar el poder de diagnòstic dels metges i l'efectivitat de les teràpies. Un punt clau d'aquesta revolució, serà la personalització, que comporta en la majoria dels casos la creació de models computacionals específics de pacient. Aquesta pràctica està actualment estesa en la investigació i hi ha al mercat diversos software que permeten obtenir models a partir d'imatges. Tot i això, per a poder-se utilitzar en la pràctica clínica aquests métodes es necessita reduir dràsticament el temps i el treball humà necessaris per a la seva creació. Aquesta tesi es centra en la proposta d'una versió basada en imatges del Cartesian grid Finite Element Method (cgFEM), una técnica per obtenir de forma automàticament models a partir d'imatges i dur a terme anàlisis estructurals lineals d'ossos, implants o materials heterogenis. Després de relacionar l'escala del imatge a propietats macàniques corresponents, s'usa tota la informació continguda en els píxels per a integrar les matrius de rigidesa dels elements que homogeneïtzen el comportament elàstic dels grups de píxels continguts en cada element. Es emphh-adapta una malla inicialment uniforme a les característiques de la imatge usant un procediment eficient que té en compte les propietats elàstiques locals associades als valors dels píxels. Amb això, s'evita un suavitzat excessiu de les propietats elàstiques a causa de la integració dels elements en àrees altament heterogénies, però, tot i això, s'obtenen models finals amb un nombre raonable de graus de llibertat. El resultat d'aquest procés és una malla no conforme en la qual s'imposa la continuïtat C0 de la solució mitjançant restriccions multi-punt en els hanging nodes. Contràriament als procediments estàndard per a la creació de models d'Elements finits a partir d'imatges, que normalment requereixen la definició completa i watertight de la geometria i tracten el resultat com un CAD estàndard, amb cgFEM no cal definir cap entitat geométrica. No obstant això, és immediat incloure-les en el model en el cas que sigui necessari, com ara superfícies suaus per imposar condicions de contorn de forma més precisa o volums CAD de dispositius per a la simulació d'implants. Com a conseqüéncia d'això, la quantitat de treball humà per a la creació de models es redueix dràsticament. En aquesta tesi, s'analitza en detalls el comportament del nou métode en problemes 2D i 3D a partir de CT-scan i radiografies sintétiques i reals, centrant-se en tres classes de problemes. Aquestes inclouen la simulació d'ossos, la caracterització de materials a partir de TACs, per a la qual s'ha desenvolupat la cgFEM virtual characterisation technique, i l'anàlisi estructural de futurs implants, aprofitant la capacitat del cgFEM de combinar fàcilment imatges i models de CAD.
In silico medicine is believed to be one of the most disruptive changes in the near future. A great effort has been carried out during the last decade to develop predicting computational models to increase the diagnostic capabilities of medical doctors and the effectiveness of therapies. One of the key points of this revolution, will be personalisation, which means in most of the cases creating patient specific computational models, also called digital twins. This practice is currently wide-spread in research and there are quite a few software products in the market to obtain models from images. Nevertheless, in order to be usable in the clinical practice, these methods have to drastically reduce the time and human intervention required for the creation of the numerical models. This thesis focuses on the proposal of image-based Cartesian grid Finite Element Method (cgFEM), a technique to automatically obtain numerical models from images and carry out linear structural analyses of bone, implants or heterogeneous materials. In the method proposed in this thesis, after relating the image scale to corresponding elastic properties, all the pixel information will be used for the integration of the element stiffness matrices, which homogenise the elastic behaviour of the groups of pixels contained in each element. An initial uniform Cartesian mesh is h-adapted to the image characteristics by using an efficient refinement procedure which takes into account the local elastic properties associated to the pixel values. Doing so we avoid an excessive elastic property smoothing due to element integration in highly heterogeneous areas, but, nonetheless obtain final models with a reasonable number of degrees of freedom. The result of the process is non-conforming mesh in which C0 continuity is enforced via multipoint constraints at the hanging nodes. In contrast to the standard procedures for the creation of Finite Element models from images, which usually require a complete and watertight definition of the geometry and treat the result as a standard CAD, with cgFEM it is not necessary to define any geometrical entity, as the procedure proposed leads to an implicit definition of the boundaries. Nonetheless, they are straightforward to include in the model if necessary, such as smooth surfaces to impose the boundary conditions more precisely or CAD device volumes for the simulation of implants. As a consequence, the amount of human work required for the creation of the numerical models is drastically reduced. In this thesis, we analyse in detail the new method behaviour in 2D and 3D problems from CT-scans and X-ray images and synthetic images, focusing on three classes of problems. These include the simulation of bones, the material characterisation of solid foams from CT scans, for which we developed the cgFEM virtual characterisation technique, and the structural analysis of future implants, taking advantage of the capability of cgFEM to easily mix images and CAD models.
Giovannelli, L. (2018). Direct creation of patient-specific Finite Element models from medical images and preoperative prosthetic implant simulation using h-adaptive Cartesian grids [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/113644
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Brossier, David. "Élaboration et validation d'une base de données haute résolution destinée à la calibration d'un patient virtuel utilisable pour l'enseignement et la prise en charge personnalisée des patients en réanimation pédiatrique Perpetual and Virtual Patients for Cardiorespiratory Physiological Studies Creating a High-Frequency Electronic Database in the PICU: The Perpetual Patient Qualitative subjective assessment of a high-resolution database in a paediatric intensive care unit-Elaborating the perpetual patient's ID card Validation Process of a High-Resolution Database in a Pediatric Intensive Care Unit – Describing the Perpetual Patient’s Validation Evaluation of SIMULRESP©: a simulation software of child and teenager cardiorespiratory physiology." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMC428.

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La complexité des patients de réanimation justifie le recours à des systèmes d’aide à la décision thérapeutique. Ces systèmes rassemblent des protocoles automatisés de prise en charge permettant le respect des recommandations et des simulateurs physiologiques ou patients virtuels, utilisables pour personnaliser de façon sécuritaire les prises en charge. Ces dispositifs fonctionnant à partir d’algorithmes et d’équations mathématiques ne peuvent être développés qu’à partir d’un grand nombre de données de patients. Le principal objectif de cette thèse était la mise en place d’une base de données haute résolution automatiquement collectée de patients de réanimation pédiatrique dont le but sera de servir au développement et à la validation d’un simulateur physiologique : SimulResp© . Ce travail présente l’ensemble du processus de mise en place de la base de données, du concept jusqu’à son utilisation
The complexity of the patients in the intensive care unit requires the use of clinical decision support systems. These systems bring together automated management protocols that enable adherence to guidelines and virtual physiological or patient simulators that can be used to safely customize management. These devices operating from algorithms and mathematical equations can only be developed from a large number of patients’ data. The main objective of the work was the elaboration of a high resolution database automatically collected from critically ill children. This database will be used to develop and validate a physiological simulator called SimulResp© . This manuscript presents the whole process of setting up the database from concept to use

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Books on the topic "Virtual patient simulation"

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Virtual Patient Encounters for Mosby's EMT-Intermediate Textbook for the 1999 National Standard Curriculum. 3rd ed. Mosby/JEMS, 2007.

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Tyerman, Jane, Sheryl Brahman, Amy Nakajima, Bill Kapralos, and Anthony L. Brooks. Recent Advances in Technologies for Inclusive Well-Being: Virtual Patients, Gamification and Simulation. Springer International Publishing AG, 2021.

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Tyerman, Jane, Sheryl Brahman, Amy Nakajima, Bill Kapralos, and Anthony Lewis Brooks. Recent Advances in Technologies for Inclusive Well-Being: Virtual Patients, Gamification and Simulation. Springer International Publishing AG, 2022.

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Book chapters on the topic "Virtual patient simulation"

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Kockro, Ralf A., and Luis Serra. "Patient-Specific Virtual Reality Simulation for Minimally Invasive Neurosurgery." In Comprehensive Healthcare Simulation: Neurosurgery, 159–84. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75583-0_13.

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Simo, Altion, and Marc Cavazza. "Qualitative Simulation of Shock States in a Virtual Patient." In Artificial Intelligence in Medicine, 101–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39907-0_15.

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Zhang, Jinglu, Jian Chang, Xiaosong Yang, and Jian J. Zhang. "Virtual Reality Surgery Simulation: A Survey on Patient Specific Solution." In Next Generation Computer Animation Techniques, 220–33. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69487-0_16.

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Melka, Bartłomiej, Wojciech Adamczyk, Marek Rojczyk, Andrzej J. Nowak, Adam Golda, and Ziemowit Ostrowski. "Virtual Therapy Simulation for Patient with Coarctation of Aorta Using CFD Blood Flow Modelling." In Innovations in Biomedical Engineering, 153–60. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47154-9_18.

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Hirumi, Atsusi, Benjamin Chak Lum Lok, Teresa R. Johnson, Kyle Johnsen, Diego de Jesus Rivera-Gutierrez, Ramsamooj Javier Reyes, Tom Atkinson, Christopher Stapleton, and Juan C. Cendán. "NERVE, InterPLAY, and Design-Based Research: Advancing Experiential Learning and the Design of Virtual Patient Simulation." In Learning, Design, and Technology, 1–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17727-4_76-1.

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Hirumi, Atsusi, Benjamin Chak Lum Lok, Teresa R. Johnson, Kyle Johnsen, Diego de Jesus Rivera-Gutierrez, Ramsamooj Javier Reyes, Tom Atkinson, Christopher Stapleton, and Juan C. Cendán. "NERVE, InterPLAY, and Design-Based Research: Advancing Experiential Learning and the Design of Virtual Patient Simulation." In Learning, Design, and Technology, 1–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-17727-4_76-2.

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Hauze, Sean W., Helina H. Hoyt, James P. Frazee, Philip A. Greiner, and James M. Marshall. "Enhancing Nursing Education Through Affordable and Realistic Holographic Mixed Reality: The Virtual Standardized Patient for Clinical Simulation." In Advances in Experimental Medicine and Biology, 1–13. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06070-1_1.

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Heinrichs, LeRoy, Parvati Dev, and Dick Davies. "Virtual environments and virtual patients in healthcare." In Healthcare Simulation Education, 69–79. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119061656.ch10.

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Hara, Takayuki, and Masanori Yoshino. "Surgical Simulation with Three-Dimensional Fusion Images in Patients with Arteriovenous Malformation." In Acta Neurochirurgica Supplement, 83–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63453-7_12.

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AbstractIn arteriovenous malformation (AVM) surgery, vessel structures should be well evaluated with angiography. However, with conventional angiography, it is sometimes difficult to distinguish each feeder and its feeding territory in the nidus. In this study, we used two software systems to create three-dimensional (3D) fusion images using multiple imaging modalities and evaluated their clinical use. In the AVM patient, data were obtained from 3D rotational angiography, rotational venography, computed tomography (CT), and magnetic resonance imaging (MRI) and superimposed into 3D fusion images using imaging software (iPLAN and Avizo). Virtual surgical fields that were quite similar to the real ones were also created with these software programs. Compared with fusion images by iPLAN, those by Avizo have higher resolution and can demarcate not only each feeder but also its supplying territory in the nidus with different colors.In conclusion, 3D fusion images in AVM surgery are helpful for simulation, even though it takes time and requires special skill to create them.

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Heras, Unai, Xabier Amezua, Rubén I. García, Lander Barrenetxea, Eneko Solaberrieta, Javier Pilar, and Harkaitz Eguiraun. "Construction of a “Virtual Patient Simulation” Environment for Design and Testing of Customized Adapters of Medical Use Respiratory Masks." In Lecture Notes in Mechanical Engineering, 493–505. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20325-1_39.

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Conference papers on the topic "Virtual patient simulation"

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Cavazza, Marc, and Altion Simo. "A virtual patient based on qualitative simulation." In the 8th international conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/604045.604053.

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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 Information Technologies in Society (IT’IS Foundation, Zürich, Switzerland) to produce a virtual family, which is a set of anatomical computer-aided design (CAD) models of adults and children [2, 3], and those CAD models are used in electromagnetic, thermal, and computer fluid dynamics simulations. However, the meaning of virtual patients or models has varied across the recent years and more and more researchers tried to categorize the terminology of virtual patients. In general, virtual patients can be classified into seven major types including: case presentation, interactive patient scenarios, virtual patient game, high fidelity software simulation, human standardized patients, high fidelity manikins, and virtual standardized patients [4]. The virtual patients discussed in this study can be classified as interactive patient scenarios, whose application includes clinical reasoning, surgical planning, and disease diagnosis.

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Onbasıog˘lu, Esin, Bas¸ar Atalay, Dionysis Goularas, Ahu H. Soydan, Koray K. S¸afak, and Fethi Okyar. "Visualisation of Burring Operation in Virtual Surgery Simulation." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25233.

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Virtual reality based surgical training have a great potential as an alternative to traditional training methods. In neurosurgery, state-of-the-art training devices are limited and the surgical experience accumulates only after so many surgical procedures. Incorrect surgical movements can be destructive; leaving patients paralyzed, comatose or dead. Traditional techniques for training in surgery use animals, phantoms, cadavers and real patients. Most of the training is based either on these or on observation behind windows. The aim of this research is the development of a novel virtual reality training system for neurosurgical interventions based on a real surgical microscope for a better visual and tactile realism. The simulation works by an accurate tissue modeling, a force feedback device and a representation of the virtual scene on the screen or directly on the oculars of the operating microscope. An intra-operative presentation of the preoperative three-dimensional data will be prepared in our laboratory and by using this existing platform virtual organs will be reconstructed from real patients’ images. VISPLAT is a platform for virtual surgery simulation. It is designed as a patient-specific system that provides a database where patient information and CT images are stored. It acts as a framework for modeling 3D objects from CT images, visualization of the surgical operations, haptic interaction and mechanistic material-removal models for surgical operations. It tries to solve the challenging problems in surgical simulation, such as real-time interaction with complex 3D datasets, photorealistic visualization, and haptic (force-feedback) modeling. Surgical training on this system for educational and preoperative planning purposes will increase the surgical success and provide a better quality of life for the patients. Surgical residents trained to perform surgery using virtual reality simulators will be more proficient and have fewer errors in the first operations than those who received no virtual reality simulated education. VISPLAT will help to accelerate the learning curve. In future VISPLAT will offer more sophisticated task training programs for minimally invasive surgery; this system will record errors and supply a way of measuring operative efficiency and performance, working both as an educational tool and a surgical planning platform quality.

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Sargeson, Tracey. "PG87 Deteriorating patient simulation and human factors." In Abstracts of the ASPiH 2020 Virtual Conference, 10–11 November 2020. The Association for Simulated Practice in Healthcare, 2020. http://dx.doi.org/10.1136/bmjstel-2020-aspihconf.135.

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Segura-Azuara, NA, and M. Lopez. "REDESIGNING MEDICAL STUDENTS' TRAINING THROUGH VIRTUAL CLINICAL SIMULATION." In The 7th International Conference on Education 2021. The International Institute of Knowledge Management, 2021. http://dx.doi.org/10.17501/24246700.2021.7128.

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Clinical simulation is an engaging teaching strategy that has been used to develop disciplinary and soft skills in medical students through structured educational activities with assessment and feedback. COVID-19 has forced medical schools into redesigning many curricular activities, including these clinical simulations, which leveraged virtual technologies to continue the training amid the pandemic. The objective of this study was to assess the adaptation of clinical simulation to a virtual-based format to continue medical students' training. The sample of participants in this study was 34-thirdyear medical students. Simulation sessions were held through a synchronous videoconference platform where students used a monitor for vital signs, an actor simulated a patient, and the corresponding lab results and imaging studies were available upon students' request. Students provided care for the patient by teams; they interviewed and asked for physical exam findings from an actor representing a nurse. The simulation adapted to the team's performance, students were provided with the test results as they requested, and the patient's vital signs responded to the team's prescriptions. Following the simulation, they received feedback using the debriefing with a good-judgment framework which supports a reflection regarding their mental processes leading to decision-making. Adapting educational strategies using technology in remote teaching is essential for medical schools to continue their training. This curricular adaptation exemplifies a proficient way to carry out virtual simulation activities amid the pandemic, easily adapted to other disciplines and educational levels. Keywords: higher education, educational innovation, professional education, pandemic adaptations, COVID-19, virtual simulation

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Peres, Nick. "0012 Patientvr – a virtual reality experience from the patient perspective." 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-2015-000075.1.

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Sait, Saif, Peter Springbett, Stephanie Hicks, and Gnananandan Janakan. "PG67 Acute surgical emergency patient (ASEP) simulation course." In Abstracts of the ASPiH 2020 Virtual Conference, 10–11 November 2020. The Association for Simulated Practice in Healthcare, 2020. http://dx.doi.org/10.1136/bmjstel-2020-aspihconf.115.

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Luo, Jianfeng, Afaque Rafique Memon, and Xiaojun Chen. "Haptic Based Simulation for Patient-Specific Zygomatic Implant Placement Surgery." In 2022 8th International Conference on Virtual Reality (ICVR). IEEE, 2022. http://dx.doi.org/10.1109/icvr55215.2022.9848347.

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Xie, Zhijun, Shuai Li, Qing Xia, and Aimin Hao. "Kinetic Simulation of Cardiac Motion with Patient-Specific Coronary Artery Vessels Attached for PCI Simulator." In 2017 International Conference on Virtual Reality and Visualization (ICVRV). IEEE, 2017. http://dx.doi.org/10.1109/icvrv.2017.00081.

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Morotti, Roberto, Caterina Rizzi, Daniele Regazzoni, and Giorgio Colombo. "Digital Human Modelling to Analyse Virtual Amputee’s Interaction With the Prosthesis." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34381.

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This paper refers to the integration of simulations tools to assess the design of prosthetic devices. We address issues arising when the prosthesis needs to be virtually tested, i.e., the gait of the virtual patient wearing the prosthesis. Therefore, we integrate two different simulation tools: the first one to study the interaction between socket and residual limb during the gait and the second one to analyze the patient’s gait deviations. Combining these numerical analyses, it is possible to investigate the causes of gait deviations and suggest remedies, both related to the prosthesis setup and the socket modeling. To prove the validity of the approach, we implemented a Finite Element Analysis model to analysis the stump-socket contact and we assembled a low cost Motion Capture system to acquire and elaborate patient gait. Preliminary results and remarks conclude the paper.

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Reports on the topic "Virtual patient simulation"

1

Picho, Katherine, Timothy J. Cleary, Jr Artino, Dong Anthony R., and Ting. Developing and Testing a Self-Regulated Learning Assessment Methodology Combined with Virtual-Patient Simulation in Medical Education. Fort Belvoir, VA: Defense Technical Information Center, April 2015. http://dx.doi.org/10.21236/ada623009.

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