Methodological support to develop interoperable applications for pervasive healthcare

The healthcare model currently being used in most countries will soon be inadequate, due to the increasing care costs of a growing population of elderly people, the rapid increase of chronic diseases, the growing demand for new treatments and technologies, and the relative decrease in the number of healthcare professionals with respect to the population increase. This healthcare model, which is centered on highly specialized people, located in large hospitals, needs to change into a distributed model, in order to produce faster responses and to allow patients to manage their own health. A distributed healthcare model that pervades the daily lives of the citizens is more appropriate to provide less expensive and more effective and timely healthcare, and characterizes Pervasive Healthcare.\ud \ud This thesis aims at demonstrating the feasibility of using healthcare standards, ubiquitous computing technologies, service-oriented architecture principles, and software agents, to develop interoperable applications for exchanging messages in Pervasive Healthcare environments. This thesis presents a Reusable Architecture and a Message Generator that employ these technologies for achieving its aim.\ud \ud In this work, a case study was performed in a realistic distributed healthcare environment, where three usage scenarios were defined in the cardiology domain: delivery of laboratory analysis results, schedule of an appointment for pacemaker evaluation, and support of a medical staff meeting to prepare for a cardiac surgery. The experiments were conducted in a distributed environment at the Santa Casa Hospital of Marília (Brazil). The evaluation of these applications was carried out using the Technology Acceptance Model, since this model is generally considered as appropriate to explain technology acceptance.\ud \ud We showed that the methodology proposed in this thesis truly facilitates the development of Pervasive Healthcare. The proposed methodology preserves the investment in the legacy healthcare information systems and allows developers to add new features to them, aiming to fill the automation gap and satisfying the need for increased user mobility, while providing smart assistance to the end-users. The results obtained so far are highly promising, and encourage us to continue exploring our methodology to develop communication services that are suitable for other healthcare scenarios