Development of a Web Platform for Surgical Oncologists in Portugal

• Autor(a) principal: Martins, João Miguel Tavares
• Data de Publicação: 2022
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10362/157055
• topic: Web platform; database; decision support systems; data management; risk prediction; cancer; Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

In an age of enormous access to clinical data and rapid technological development, ensuring that physicians have computational tools to navigate a sea of information and improve health outcomes is vital. A major advance in medical practice is the incorporation of Clinical Decision Support Systems (CDSSs) to assist and support the healthcare team in clinical decision making, thus improving the quality of decisions and overall patient care, while minimizing costs. Postsurgical complications of cancer surgery are hard to predict, although there are several traditional risk scores available. However, there is an urgent need to improve perioperative risk assessment to reduce the growing postoperative burden in the Portuguese population. Understanding the individual risks of performing surgical procedures is essential to customizing preparatory, intervention, and aftercare protocols to minimize post-surgical complications. This knowledge is essential in oncology, given the nature of the interventions, the fragile profile of patients with comorbidities and drug exposure, and the possible recurrence of cancer. This thesis aims to develop an user-friendly web platform to support the collaboration and manage clinical data among oncologists at the Portuguese Institute of Oncology, Porto. The work integrates both a database to register/store the clinical data of cancer patients in a structured format, visualization tools and computational methods to calculate a specific risk score of postoperative outcomes for the Portuguese population. The platform named IPOscore will not only to manage the clinic data but also offer a predictive healthcare system, as an valuable instrument for the oncologists.