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Publications

2021

The Potential of Big Data Research in HealthCare for Medical Doctors' Learning

Authors
Au Yong Oliveira, M; Pesqueira, A; Sousa, MJ; Dal Mas, F; Soliman, M;

Publication
JOURNAL OF MEDICAL SYSTEMS

Abstract
The main goal of this article is to identify the main dimensions of a model proposal for increasing the potential of big data research in Healthcare for medical doctors' (MDs') learning, which appears as a major issue in continuous medical education and learning. The paper employs a systematic literature review of main scientific databases (PubMed and Google Scholar), using the VOSviewer software tool, which enables the visualization of scientific landscapes. The analysis includes a co-authorship data analysis as well as the co-occurrence of terms and keywords. The results lead to the construction of the learning model proposed, which includes four health big data key areas for MDs' learning: 1) data transformation is related to the learning that occurs through medical systems; 2) health intelligence includes the learning regarding health innovation based on predictions and forecasting processes; 3) data leveraging regards the learning about patient information; and 4) the learning process is related to clinical decision-making, focused on disease diagnosis and methods to improve treatments. Practical models gathered from the scientific databases can boost the learning process and revolutionise the medical industry, as they store the most recent knowledge and innovative research.

2021

Student Burnout: A Case Study about a Portuguese Public University

Authors
Salgado, S; Au Yong Oliveira, M;

Publication
EDUCATION SCIENCES

Abstract
Burnout is increasingly present in organizations and in the most diverse professions, namely, in university students. Burnout can have negative repercussions on their well-being and can even lead them to abandon their studies. The objective of the study focuses on academic burnout and taking medication as a consequence of the requirements of the academic path of students at a Portuguese public university. To achieve this goal, a quantitative methodology was used, consisting of the distribution of a questionnaire to a sample of students from the analyzed university. The first study questionnaire obtained 207 responses, all valid. To perform the analysis of the quantitative data, the program IBM SPSS Statistics, version 25 was used. Inferential statistics were used, namely, Student t-test and one-way ANOVA (parametric tests), Spearman's correlation coefficient, and the Chi-square test, to test the previously defined research hypotheses. Among the variables for which statistically significant relationships with burnout were found, the following stand out: the arithmetic mean (course average); the professional situation; participation in extracurricular activities; the practice and frequency of physical exercise; the choice and expectations regarding the course; the uncertainty felt about the professional future; the evaluation of the relationship with colleagues.

2020

A proposal for a 360° information system model for private health care organizations

Authors
Magalhaes, D; Martins, J; Branco, F; Au Yong Oliveira, M; Goncalves, R; Moreira, F;

Publication
Expert Systems

Abstract

2020

Model Driven Automatic Code Generation: An Evolutionary Approach to Disruptive Innovation Benefits

Authors
Penha Lopes, J; Au Yong Oliveira, M; Goncalves, R;

Publication
TRENDS AND APPLICATIONS IN SOFTWARE ENGINEERING

Abstract
Of all the technologies born in the 20th century the software industry is the sole one that has kept a large dependency on human physical effort in order to produce the necessary code for an Information Technology system to perform. This paper analyses that evolution in view of today's state-of-the-art regarding automatic code generation based on model definitions for critical business purposes. The social, financial and technological benefits will be addressed as they are disruptive and will affect different levels of society as we know it. Several testimonies were also sought regarding the technology described herein and how it may affect us in our day-to-day lives. We conclude that the software industry is in the midst of a major revolution - which has arrived late in comparison to other industries related to technology and which have decreased the reliance on human labour some time ago.

2020

Qualitative analysis of virtual reality adoption by tourism operators in low-density regions

Authors
Martins, J; Goncalves, R; Au Yong Oliveira, M; Moreira, F; Branco, F;

Publication
IET SOFTWARE

Abstract
Virtual reality technologies have grown in complexity and functionality, increasing their relevance in various sectors of activity. Applying these innovations to tourism is advantageous for the organisations, the tourists and even the territories. They can provide multisensory immersivity, simulate actions and movements in real-time, enriching reality using interactive virtual objects. Thus, captivating visitors and showing territories from richer and livelier perspectives. This study describes a review of the adoption of virtual reality technology at the organisational level. In order to adapt the literature review to the tourism topic, the process of analysis of the literature was carried out with a constant concern to analyse research that studied the topic. Assuming the need to further develop the work done and to obtain a confirmation on the contribution resulting from the bibliographic review, a focus group was developed, which allowed several specialists to discuss collaboratively and interactively the research project topics without having to be in face-to-face contact. The results of this study allow not only to acknowledge the relevance of virtual reality for tourism but also to understand how the existing literature and experts are aligned with the identification of opportunities for disruptive development of solutions that trigger tourism destinations and organisational development.