No abstract

This research work explores a new way of presenting and representing information about patients in critical care, which is the use of a timeline to display information. This is accomplished with the development of an interactive Pervasive Patient Timeline able to give to the intensivists an access in real-time to an environment containing patients clinical information from the moment in which the patients are admitted in the Intensive Care Unit (ICU) until their discharge This solution allows the intensivists to analyse data regarding vital signs, medication, exams, data mining predictions, among others. Due to the pervasive features, intensivists can have access to the timeline anywhere and anytime, allowing them to make decisions when they need to be made. This platform is patient-centred and is prepared to support the decision process allowing the intensivists to provide better care to patients due the inclusion of clinical forecasts.

The needs of reducing human error has been growing in every field of study, and medicine is one of those. Through the implementation of technologies is possible to help in the decision making process of clinics, therefore to reduce the difficulties that are typically faced. This study focuses on easing some of those difficulties by presenting real-time data mining models capable of predicting if a monitored patient, typically admitted in intensive care, will need to take vasopressors. Data Mining models were induced using clinical variables such as vital signs, laboratory analysis, among others. The best model presented a sensitivity of 94.94%. With this model it is possible reducing the misuse of vasopressors acting as prevention. At same time it is offered a better care to patients by anticipating their treatment with vasopressors.

This study has the objective of introducing an innovative way of presenting and representing information concerning patients in Intensive Care Units. Therefore, the Pervasive Patient Timeline, which has the purpose of offering support to intensivists' decision-making process, by providing access to a real-time environment, was developed. The solution is patient-centred as it can be accessed from anywhere, at any time and it contains patients' clinical data since they are admitted to the ICU until their discharge. The environment holds data concerning vital signs, laboratory results, therapeutics, and data mining predictions, which can be analysed to have a better understanding of patients' present and future condition. Due to the nature of the critical care environment, the pervasive aspect is crucial because it allows intensivists make decisions when they have to be made. The Pervasive Patient Timeline is focused on improving the quality of care by helping the intensivists perform better in their daily activity.

This study has the objective of introducing an innovative way of presenting and representing information concerning patients in Intensive Care Units. Therefore, the Pervasive Patient Timeline, which has the purpose of offering support to intensivists' decision-making process, by providing access to a real-time environment, was developed. The solution is patient-centred as it can be accessed from anywhere, at any time and it contains patients' clinical data since they are admitted to the ICU until their discharge. The environment holds data concerning vital signs, laboratory results, therapeutics, and data mining predictions, which can be analysed to have a better understanding of patients' present and future condition. Due to the nature of the critical care environment, the pervasive aspect is crucial because it allows intensivists make decisions when they have to be made. The Pervasive Patient Timeline is focused on improving the quality of care by helping the intensivists perform better in their daily activity.