In The Critical Care & Hospitality Research Laboratory, we will have two major investigation lines, one directed towards the study of “Decision Making in Critical Patients” and the other towards the study of features of “(Management and) Hospitality”. In the last decades, cognitive sciences, social and cognitive psychology and neurosciences have made efforts to understand how conscious and unconscious mechanisms interact, influencing our behavior, decision making and mental health (Newen & Vogeley, 2003). The multidimensionality of the Human Being has led several authors to study the role of the conscious and unconscious in the decision-making process. Study approaches have been diverse, with emphasis on the importance attributed to neuronal structures by different authors over the years (Balconi, 2020; Tononi, 2005; Van Gaal & Lamme, 2012). Contemporary literature tells us that conscious, preconscious and unconscious mechanisms are involved in the modulation of the affective processing that we carry out in the course of our daily activities. Specifically, they highlight mental practice that stimulates awareness (such as mindfulness and neurofeedback) as tools to improve and improve our ability to deal with emotions, external stimuli and stressful events (Balconi et al., 2017; Tang et al., 2015). Intensive Care Units (ICU's) are highly stressful environments, with nurses being faced daily with the need to make quick decisions and with a great impact on the lives of patients (Gomes Bonilha et al., 2015). ). Thus, it is essential to understand which factors and what their influence in the decision-making process in the “Critical Care & Hospitality”contexts.
Major Research lines
• Line 1 – Conducting the situation diagnosis – Study how Emotions, Power and Justice, influence the decision making process- quantitative, descriptive, correlational and longitudinal study
• Line 2 – Use of artificial intelligence tools to analyze the results found in the light of a knowledge representation program, based on mathematical logic, in order to predict the evolution of the process of Decision Making in ICU’s
Rationale
In The Critical Care & Hospitality Research Laboratory, we will have two major investigation lines, one directed towards the study of “Decision Making in Critical Patients” and the other towards the study of features of “(Management and) Hospitality”. In the last decades, cognitive sciences, social and cognitive psychology and neurosciences have made efforts to understand how conscious and unconscious mechanisms interact, influencing our behavior, decision making and mental health (Newen & Vogeley, 2003). The multidimensionality of the Human Being has led several authors to study the role of the conscious and unconscious in the decision-making process. Study approaches have been diverse, with emphasis on the importance attributed to neuronal structures by different authors over the years (Balconi, 2020; Tononi, 2005; Van Gaal & Lamme, 2012). Contemporary literature tells us that conscious, preconscious and unconscious mechanisms are involved in the modulation of the affective processing that we carry out in the course of our daily activities. Specifically, they highlight mental practice that stimulates awareness (such as mindfulness and neurofeedback) as tools to improve and improve our ability to deal with emotions, external stimuli and stressful events (Balconi et al., 2017; Tang et al., 2015). Intensive Care Units (ICU's) are highly stressful environments, with nurses being faced daily with the need to make quick decisions and with a great impact on the lives of patients (Gomes Bonilha et al., 2015). ). Thus, it is essential to understand which factors and what their influence in the decision-making process in the “Critical Care & Hospitality”contexts.
Major Research lines
• Line 1 – Conducting the situation diagnosis – Study how Emotions, Power and Justice, influence the decision making process- quantitative, descriptive, correlational and longitudinal study
• Line 2 – Use of artificial intelligence tools to analyze the results found in the light of a knowledge representation program, based on mathematical logic, in order to predict the evolution of the process of Decision Making in ICU’s
José Maia Neves