Interoperability between information systems of the results of clinical analysis and electronic record of the patient

• Autor(a) principal: Sousa, Octávio Viana Jesus de
• 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/10071/27565
• topic: Interoperabilidade; Sistema de informação -- Information system; Clinical Analysis; Interoperability

The issue of interoperability between institutions in underdeveloped countries always presents good opportunities for science to contribute to substantial improvements in real-world issues. Basic support systems, such as health institutions, are among those that can benefit most from scientific advances. This paper reports an analysis made on the lack of interoperability between health institutions, specifically with regard to the interaction between physicians' offices and clinical analysis laboratory. This research was validated with a real practical use case that is presented in this paper. In order to make the information stored in different computer applications of the health information system (HIS), more specifically in the Hospital Center Dr. Ayres de Menezes, in São Tomé and Príncipe, interoperable, two distinct applications were developed, Patient Management System (PMS) and Clinical Analysis Laboratory Management System (LMS) to implement interoperability between them. In this way, take advantage of the interoperability logic implemented between these two applications and later integrate other systems. The PMS requests medical exams through your Medical Consultation panel. The second system, LMS receives the exam request and after the exams are processed and validated, the results are sent to the requesting system. To make the interoperability service effective, the SOAP protocol was used, which allowed the exchange of information synchronously between these two applications, allowing for faster transactions of patients' pathological data, and greater confidentiality of this same information. And as the work progressed, we felt the need to create a functional prototype with REST to meet the cloud model proposal.