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What is Clinical Decision Making

Virtual and Augmented Reality in Mental Health Treatment
A type of informal decision-making that combines clinical expertise, patient concerns, and evidence gathered from scientific literature to arrive at a diagnosis and treatment recommendations.
Published in Chapter:
E-Learning and Augmented Reality (AR) for Chronic Wound Assessment: Promoting Learning and Quality of Care
Nelson Ribeiro Jorge (Universidade Aberta, Portugal), Lina Morgado (Universidade Aberta, Portugal), and Pedro J. S. Gaspar (Instituto Politécnico de Leiria, Portugal)
Copyright: © 2019 |Pages: 21
DOI: 10.4018/978-1-5225-7168-1.ch014
Abstract
This investigation aimed to verify if augmented reality (AR) increases students' motivation and enhances the development of clinical decision-making skills in wound diagnosis and treatment. A quasi-experimental study was carried out with a sample of 54 nursing students. A comparative analysis of the progress of the control and experimental group was made using the data extracted from the simulator and a questionnaire. First, both groups used e-FER, a virtual simulator that simulates the diagnosis and treatment of virtual clinical cases. In the second moment, the control group continued using only e-FER, while the experimental group used e-FER combined with an AR application to observe the chronic wounds. The results showed that AR enhanced student performance, particularly in wound diagnostic parameters, with highly statistically significant differences (p<0,001), and registering high levels of motivation and simulator usability, even with the introduction of an additional device in the activity.
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A Neuroimaging Study Protocol on the Motivational Structures of Physicians Belonging to Private and Public Health: Neuroeconomics in Healthcare
Is the process the process used by healthcare professionals and which affects their patients, an enormously broad and diverse concept that ranges from diagnosis to treatment, through many other aspects related to healthcare activity.
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Conceptual Design Principles for Data-Driven Clinical Decision Support Systems (CDSS): Developing Useful and Relevant CDSS
The process of considering a patient with a health problem, future or present, and making a decision that maximizes what the patient values while conforming to or improving the workflow of clinicians.
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