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A Reactive “In silico” Simulation for Theoretical Learning Clinical Skills and Decision-Making

Authors:
Alex Vicente-Villalba
Montserrat Antonin
Dolores Rexachs
Emilio Luque

Keywords: Nursing and Medical Education; Learning; computer models.

Abstract:
One of the problems found nowadays in the field of healthcare, and in particular, in the emergency services, is that clinical staff members have to make many decisions and they have to implement them promptly. In addition, in the academic field, we must work to train in the competence of decision making with the aim of improving both critical thinking skills and clinical skills. The aim of our research is to develop a conceptual model of the evolution of the Chronic Obstructive Pulmonary Disease (COPD) in a patient, depending on the performances (INPUTS) of the clinician or student (medicine/nursing), in order to transfer that knowledge to a VIRTUAL computerized model. The simulator will enhance a student’s training in decision-making and the assessment of acquired skills. Clinical variables, conditions, the evolution of the disease and the input of the clinicians who attend the patient in emergency services define the model. Considering the system configuration, the training offered will be more or less controlled depending on the expertise of the student. Moreover, it will show them not only those scenarios which are more frequent probabilistically, but also those scenarios which are less usual but likely to be encountered in real life.

Pages: 3 to 7

Copyright: Copyright (c) IARIA, 2019

Publication date: November 24, 2019

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-61208-756-6

Location: Valencia, Spain

Dates: from November 24, 2019 to November 28, 2019