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An architecture proposal for noncommunicable diseases prevention
Braga, Diana; Oliveira, Daniela Sofia Rijo; Rosário, Rafaela; Novais, Paulo; Machado, José ManuelNoncommunicable Diseases (NCDs) are a leading global health challenge, causing 41 million deaths per year. Risk factors include genetics, environmental factors, and lifestyle choices. Adopting healthy lifestyles can prevent or delay the onset of NCDs, but health misinformation can lead people to make poor decisions about their health. To combat this, it is proposed to develop an Intelligent System using Artific...
The impact of contingency measures on the COVID-19 reproduction rate
Sousa, Regina; Oliveira, Daniela Sofia Rijo; Hak, Francini; Machado, José ManuelThe SARS-CoV-2 virus had a major impact on the health of the world’s population, causing governments to take progressively more cautious measures. All of these measures took into account the pandemic situation in the region in real time, with the aim of slowing down the spread of the infection as much as possible and reducing the associated mortality. This article aims to study the impact of preventive measures...
COVID-19 cases and their impact on global air traffic
Sousa, Regina; Gomes, João Manuel; Gomes, José; Arcipreste, Mário; Guimarães, Pedro; Oliveira, Daniela Sofia Rijo; Machado, José ManuelThe air transport industry has marked unprecedented changes throughout the pandemic period of Covid-19 infection. Mostly in the number of flights canceled, liquidation of airlines and disconnection between points worldwide. The existing documentation relating to air traffic, in the specific period of this study, can be extracted, processed and visualized through tools widely used to support case study assumptio...
Knowledge engineering for interoperable electronic health records
Oliveira, Daniela Sofia RijoThe demand for more efficient healthcare delivery has prompted hospital institutions to become increas-ingly concerned with the evolution of their information systems over time, pursuing increased efficiency and interoperability among them on a global scale. Due to the large degree of variety in healthcare, an increasing number of methods and standards for standardized information and establishing critical leve...
Medical recommendation system based on daily clinical reports: A proposed NLP a...
Sousa, Regina; Oliveira, Daniela Sofia Rijo; Durães, Dalila; Neto, Cristiana; Machado, José ManuelThe operational management of an emergency department (ED) requires more attention from hospital administration since it can have a global impact on the institution’s management, increasing the probability of adverse events and worsening hospital expenses. Effective management of an ED potentially results in fewer hospitalisations after an ED admission. The purpose of the present study is to perform a multi-cla...
The COVID-19 influence on the desire to stay at home: a Big Data architecture
Sousa, Regina; Oliveira, Daniela Sofia Rijo; Carneiro, Ana; Pinto, Luís F.; Pereira, Ana; Peixoto, Ana; Peixoto, Hugo; Machado, José ManuelThe COVID-19 pandemic has had an impact on many aspects of society in recent years. The ever-increasing number of daily cases and deaths makes people apprehensive about leaving their homes without a mask or going to crowded places for fear of becoming infected, especially when vaccination was not available. People were expected to respect confinement rules and have their public events cancelled as more restrict...
OpenEHR modelling applied to Complementary Diagnostics Requests
Oliveira, Daniela Sofia Rijo; Santos, Ana; Braga, Diana; Silva, Inês; Sousa, Regina; Abelha, António; Machado, José ManuelComplementary Diagnostic Requests (CDRs) are required for disease identification, monitoring, and prognosis. Diagnostic tests misuse, on the other hand, can lead to negative health outcomes as well as additional costs. Inappropriate diagnostic test requests are primarily the result of a lack of interoperability between Healthcare Information Systems (HIS). On one hand, clinicians can be mislead into which test ...
Prediction of COVID-19 diagnosis based on openEHR artefacts
Oliveira, Daniela Sofia Rijo; Ferreira, Diana; Abreu, Nuno; Leuschner, Pedro; Abelha, António; Machado, José ManuelNowadays, we are facing the worldwide pandemic caused by COVID-19. The complexity and momentum of monitoring patients infected with this virus calls for the usage of agile and scalable data structure methodologies. OpenEHR is a healthcare standard that is attracting a lot of attention in recent years due to its comprehensive and robust architecture. The importance of an open, standardized and adaptable approach...
OpenEHR based bariatric surgery follow-up
Afonso, Ana; Alvarez, Cesar; Ferreira, Diana; Oliveira, Daniela Sofia Rijo; Peixoto, Hugo; Abelha, António; Machado, José ManuelAccording to the World Health Organization (WHO), more than one billion people in the world are obese, and this number is still increasing. When this disease becomes a high risk to the individual's health and the non-invasive approach does not result in weight loss, it is usual to resort to an invasive intervention, bariatric surgery. Due to all the specifications, as well as the multidisciplinary treatment inh...
OpenEHR modeling: improving clinical records during the COVID-19 pandemic
Oliveira, Daniela Sofia Rijo; Miranda, Rui; Leuschner, Pedro; Abreu, Nuno; Santos, Manuel; Abelha, António; Machado, José ManuelThe COVID-19 pandemic had put pressure on various national healthcare systems, due to the lack of health professionals and exhaustion of those avaliable, as well as lack of interoperability and inability to restructure their IT systems. Therefore, the restructuring of institutions at all levels is essential, especially at the level of their information systems. Furthermore, the COVID-19 pandemic had arrived in ...