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The term virtual patient is used to describe interactive computer simulations used in health care education [1] to train students on clinical processes such as making diagnoses and therapeutic decisions. [2] Virtual patients attempt to combine modern technologies and game-based learning to facilitate education, and complement real clinical ...
The core competencies most conducive to simulation-based training are patient care, interpersonal skills, and systems-based practice. It is appropriate for performance assessment but there is a scarcity of evidence that supports the validity of simulation in the use for promotion or certification.
Simulated patients have been successfully utilized for education, evaluation of health care professionals, as well as basic, applied, and translational medical research. The SP can also contribute to the development and improvement of healthcare protocols; especially in cases where input from the SP are based on extensive, first-hand experience ...
The evidence-based approach that is currently practiced in medicine is suggested to be merged with the practice-based medicine to achieve better outcomes for patients. As CEO of California-based cognitive computing firm Apixio, Darren Schutle, explains that the care can be better fitted to the patient if the data could be collected from various ...
Simulation users may practice on a variety of patients, each of which has a different case history, exhibits unique symptoms, and responds to user actions with appropriate physiological responses. As in real life, patient anatomy moves with the beating of the heart and the breathing of the lungs while tissues deform, bruise and bleed.
AI can allow for not only diagnosis of patient in areas where healthcare is scarce, but also allow for a good patient experience by resourcing files to find the best treatment for a patient. [131] The ability of AI to adjust course as it goes also allows the patient to have their treatment modified based on what works for them; a level of ...
The Society for Simulation in Healthcare (SSH), formerly known as the Society for Medical Simulation is a non-profit organization founded in 2004 to advance the application of medical simulation in healthcare. [1] It serves as a resource for young professionals in their growth in medical education and administration. [2]
An example of innovative simulation to study patient safety is from nursing research. Groves et al. (2016) used a high-fidelity simulation to examine nursing safety-oriented behaviors during times such as change-of-shift report. [39] However, the value of simulation interventions to translating to clinical practice are is still debatable. [41]