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Adult Learning Principles and Non-Technical Skills
Published in Matthew J. W. Thomas, Training and Assessing Non-Technical Skills, 2017
The use of simulation in non-technical skills training provides a unique environment in which error can be encountered, or even promoted, without an adverse impact on safety. In the simulator, not only is the actual physical safety of the trainees and instructors never compromised, but the environment is one where psychological safety can also be maintained. In many domains, such as healthcare, this notion of being able to safely make errors in the learning process is critical. Traditionally, many skills were developed by trainee doctors through interacting with real patients. While this medical apprentice model is long-standing and has many benefits, the reality was that any error by a trainee doctor could result in actual harm to the patient. In this context, medical simulation in its many forms provides a unique environment where error can be harnessed safely as a mechanism for enhanced learning.38
Creating High-Technology Learning Materials
Published in Mark A. Vonderembse, Crisis in Higher Education, 2018
CAD/CAE/CAM systems have their roots in the 1960s,5 and they have been used extensively to design and produce manufactured parts for more than three decades. More recently, computer-based medical simulation is allowing physician to create 3D replicas of the heart, even the entire body, which can be used to train physicians and other healthcare professionals. It can also be used to diagnose problems, consider treatment alternatives, and assist in creating treatment plans.6,7
Health Care 4.0: A vision for smart and connected health care
Published in IISE Transactions on Healthcare Systems Engineering, 2021
Second, many technologies and methodologies need to get involved. In addition to using quantitative methods, such as modeling, simulation, computation and optimization techniques, qualitative approaches, including survey, human-centered design, evaluation, and field observations, should also be utilized. Preference should be given to combination of quantitative and qualitative methods and the mixing of various methods and data. Moreover, empirical studies and experimental projects, such as medical simulation, virtual reality, and pilot studies, are an essential complement to modeling; especially before, during and after implementation of new practices. This will allow for continuous learning and improvement of care processes and outcomes.
Modelling and real-time dynamic simulation of flexible needles for prostate biopsy and brachytherapy
Published in Mathematical and Computer Modelling of Dynamical Systems, 2023
Athanasios Martsopoulos, Thomas L. Hill, Rajendra Persad, Stefanos Bolomytis, Antonia Tzemanaki
Future work will further analyse the RFEM model in order to validate its performance in experimental studies. The model will also be used in conjunction with computationally efficient and accurate tissue models and will act as the basis for modelling the dynamics of virtual surgical instruments of a fully featured medical simulation solution. Future extensions of our work will also allow the implementation of the proposed model with the help of the graphics processing unit, aiming at further improvement of the model’s computational efficiency.
An experimental training support framework for eye fundus examination skill development
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2019
Minh Nguyen, Alvaro Quevedo-Uribe, Bill Kapralos, Michael Jenkin, Kamen Kanev, Norman Jaimes
Norman Jaimesholds a Specialization in Occupational Health care from Fundaci?n Universitaria Manuela Beltr?n, and a Medical degree from the Unversidad el Bosque in Bogot?, Colombia. His current research focuses on medical simulation and virtual reality to address skill development and maintenance through multimodality.