Biopsym : a learning environment for transrectal ultrasound guided prostate biopsies

This paper describes a learning environment for image-guided prostate biopsies in cancer diagnosis; it is based on an ultrasound probe simulator virtually exploring real datasets obtained from patients. The aim is to make the training of young physicians easier and faster with a tool that combines lectures, biopsy simulations and recommended exercises to master this medical gesture. It will particularly help acquiring the three-dimensional representation of the prostate needed for practicing biopsy sequences. The simulator uses a haptic feedback to compute the position of the virtual probe from three-dimensional (3D) ultrasound recorded data. This paper presents the current version of this learning environment

Designing for designers: Towards the development of accessible ICT products and services using the VERITAS framework

Among key design practices which contribute to the development of inclusive ICT products and services is user testing with people with disabilities. Traditionally, this involves partial or minimal user testing through the usage of standard heuristics, employing external assisting devices, and the direct feedback of impaired users. However, efficiency could be improved if designers could readily analyse the needs of their target audience. The VERITAS framework simulates and systematically analyses how users with various impairments interact with the use of ICT products and services. Findings show that the VERITAS framework is useful to designers, offering an intuitive approach to inclusive design.The work presented in this article forms part of VERITAS, which is funded by the European Commission's 7th Framework Programme (FP7) (grant agreement # 247765 FP7-ICT-2009.7.2)

Advances in Teaching & Learning Day Abstracts 2005

Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2005

Trends in virtual reality technologies for the learning patient

NextMed convened the Medicine Meets Virtual Reality 22 (MMVR 22) conference in 2016. Since 1992, the conference has brought together a diverse group of researchers to share creative solutions for the evolving challenge of integrating virtual reality tools into medical education. Virtual reality (VR) and its enabling technologies utilize hardware and software to simulate environments and encounters where users can interact and learn. The MMVR 22 symposium proceedings contain projects that support a variety of learners: medical students, practitioners, soldiers, and patients. This report will contemplate the trends in virtual reality technologies for patients navigating their medical and healthcare learning. The learning patient seeks more than intervention; they seek prevention. From virtual humans and environments to motion sensors and haptic devices, patients are surrounded by increasingly rich and transformative data-driven tools. Applied data enables VR applications to simulate experience, predict health outcomes, and motivate new behavior. The MMVR 22 presents investigations into the usability of wearable devices, the efficacy of avatar inclusion, and the viability of multi-player gaming. With increasing need for individualized and scalable programming, only committed open source efforts will align instructional designers, technology integrators, trainers, and clinicians. Curriculum and InstructionCurriculum and Instructio

NOViSE: a virtual natural orifice transluminal endoscopic surgery simulator

Purpose: Natural Orifice Transluminal Endoscopic Surgery (NOTES) is a novel technique in minimally invasive surgery whereby a flexible endoscope is inserted via a natural orifice to gain access to the abdominal cavity, leaving no external scars. This innovative use of flexible endoscopy creates many new challenges and is associated with a steep learning curve for clinicians. Methods: We developed NOViSE - the first force-feedback enabled virtual reality simulator for NOTES training supporting a flexible endoscope. The haptic device is custom built and the behaviour of the virtual flexible endoscope is based on an established theoretical framework – the Cosserat Theory of Elastic Rods. Results: We present the application of NOViSE to the simulation of a hybrid trans-gastric cholecystectomy procedure. Preliminary results of face, content and construct validation have previously shown that NOViSE delivers the required level of realism for training of endoscopic manipulation skills specific to NOTES Conclusions: VR simulation of NOTES procedures can contribute to surgical training and improve the educational experience without putting patients at risk, raising ethical issues or requiring expensive animal or cadaver facilities. In the context of an experimental technique, NOViSE could potentially facilitate NOTES development and contribute to its wider use by keeping practitioners up to date with this novel surgical technique. NOViSE is a first prototype and the initial results indicate that it provides promising foundations for further development

Pblcloud Virtual Patient Simulator: Enhancing Immersion Through Natural Language Processing

PBLCLOUD VIRTUAL PATIENT SIMULATOR: ENHANCING IMMERSION THROUGH NATURAL LANGUAGE PROCESSING Pierre Martin M.Ed.(1), Lisa DelSignore M.D.(2), and Traci A. Wolbrink M.D. M.P.H.(2) (1)Yale School of Medicine (2)From the Division of Critical Care Medicine, Department of Anesthesia, Perioperative and Pain Management, Boston Children’s Hospital and the Department of Anesthesia, Harvard Medical School, Boston, MA, USA. (Sponsored by JH, Department of Pediatrics, Yale School of Medicine) Virtual patient simulation has been utilized to teach interviewing skills, often employing selection-based methods (e.g., multiple-choice lists and menu-based prompts) to simulate doctor-patient conversations. Users have evaluated these systems as inauthentic, which can diminish user immersion (influenced by control, realism, distraction and sensory factors) and, in turn, negatively affect skill acquisition, mastery and transfer. Our objectives were to design and develop PBLCloud, a scenario-based and highly interactive platform that uses natural language processing to support a more realistic doctor-patient conversation and create an immersive clinical learning environment. PBLCloud was developed utilizing an iterative design thinking process and its initial evaluation involved a mixed methods approach. We recruited a convenience sample of 11 participants: three (27%) fourth-year medical students from Harvard Medical School as well as two (18%) residents, four (36%) fellows and two (18%) attendings from Boston Children’s Hospital. There were two rounds of formative evaluation testing with eight participants in Round 1 and three participants in Round 2. Each participant completed a semi-structured think–aloud protocol exploring our pilot case, 10-item system usability scale (SUS) and 10-item open-ended questionnaire. The chat-based functionality provides users with computer-generated context-specific responses during the historical encounter. Users have the opportunity to perform physical examinations, review incorporated multimedia, order and interpret diagnostic investigations, order therapeutic interventions that have appropriate effects on patient vitals and laboratory data, formulate and refine a differential diagnosis, receive just-in-time feedback regarding user-initiated actions and complete embedding learning exercises. 73% of participants strongly agreed that PBLCloud was useful (i.e., it is clinically-oriented, realistic, provides helpful feedback and is widely applicable) and 64% of participants strongly agreed that their experience with the system was enjoyable (i.e., it is relevant with an engaging interface). It was deemed to be more interactive and engaging than other simulators and 82% of participants were very interested in utilizing the system in the future. The average SUS score for Round 1 and 2 were 79.7 ± 12.0 and 82.5 ± 19.8 respectively. Areas of improvement were identified, in particular, the unsatisfactory response accuracy of the chat-based functionality. Future work will include the investigation of various strategies to optimize the platform’s natural language processing algorithm as well as the formal evaluation of the system’s validity, reliability, level of induced user immersion and educational impact. We anticipate that PBLCloud will serve as a cost-effective and scalable approach for the instruction and assessment of clinical reasoning

Development and implementation of a web-enabled 3D consultation tool for breast augmentation surgery based on 3D-image reconstruction of 2D pictures

Producing a rich, personalized Web-based consultation tool for plastic surgeons and patients is challenging

Electric Wheelchair Navigation Simulators: why, when, how?

International audienc