Simulation teaching is an artificial teaching strategy encompassed with role-play representing what would otherwise be the reality. Static manikins are categorized into two, those of high and limited functionality (Viceconti, et al 2016). The models are designed to teach nursing students the diagnostic procedures. High fidelity simulation involves use of complex and sophisticated models in realistic medical situations. The high fidelity models closely imitate the human physiology and anatomy. Static manikin that distantly mimic the human physiology are identified as low fidelity models also known as task coaches. They are frequently used for clinical skills like wound dressing and care.
Human patient simulators of high fidelity have detectable heart rates of variable tones, expanding chest while breathing and measurable pulses (Petrizzo, et al 2019). Surgical procedures can be performed on this manikins such as caesarean delivery, cannulation and others. In most cases the high fidelity models are computerized with external monitors viewing the physiological functions of the models (Jang, et al 2019). The learners are expected to respond to the changes in simulators aiding them in gaining confidence and acquiring problem solving skills in the scenario.
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Clinical practices are designed to make assumptions on the idealistic scenario based on past trials while simulation allows the leaner a practical trial on models. The cost of evaluation using clinical trials can be significantly minimized by using static manikins as a conventional alternative. In addition, clinical practices soak up time reducing the design outcome, simulation on the other hand allows for testing of various conditions generating data that come from a real situation in record time. The high fidelity simulators have created a possibility in responding to rare clinical conditions and fostering better team communication (Petrizzo, et al 2019).
References
Jang, K. J., Pant, Y. V., Zhang, B., Weimer, J., & Mangharam, R. (2019, April). Robustness evaluation of computer-aided clinical trials for medical devices. In Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems (pp. 163-173). ACM.
Petrizzo, M. C., Barilla-LaBarca, M. L., Lim, Y. S., Jongco, A. M., Cassara, M., Anglim, J., & Stern, J. N. (2019). Utilization of high-fidelity simulation to address challenges with the basic science immunology education of preclinical medical students. BMC medical education, 19(1), 1-8.
Viceconti, M., Henney, A., & Morley-Fletcher, E. (2016). In silico clinical trials: how computer simulation will transform the biomedical industry. International Journal of Clinical Trials, 3(2), 37-46.
