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A ALERT® é uma empresa de software clínico com produtos espalhados pelo mundo. Estes produtos funcionam em hospitais e clínicas onde outro software e produtos de IoT estão em utilização. Posto isto, os produtos da ALERT® precisam de comunicar com produtos de outros fornecedores, e esta comunicação nem sempre é fácil, pois cada software tem o seu próprio conhecimento interno. Para alcançar interoperabilidade em informação sensível, tal como é qualquer dado clínico, Health Level Seven (HL7) criou o FHIR, um protocolo de comunicação e modelação de dados que faz uso de serviços REST. Este é o protocolo mais popular a nível global, e qualquer software que seja capaz de o interpretar está preparado para comunicar com muitos outros. Assim, é benéfico para a ALERT® utilizar este protocolo nos seus produtos. Para além deste protocolo, os dados em si são codificados usando terminologias clínicas, que são sistemas para classificar conceitos usados em contextos de cuidados de saúde. Estas terminologias garantem que o significado de um determinado conceito é o mesmo em todo o lado, independentemente da linguagem do contexto ou do conhecimento da pessoa. Assim, este documento foca-se no estudo e desenvolvimento de um conjunto de serviços REST que expõem terminologias clínicas e que são compatíveis com a especificação do FHIR. Estes serviços compõem um servidor de terminologias, que deve ser capaz de responder a todas as necessidades da ALERT® neste campo. Para que o sucesso seja alcançado, o desenvolvimento segue os requisitos definidos após um trabalho de estudo na matéria. O produto será depois avaliado consoante um conjunto de testes que avaliam os requisitos, e o seu sucesso discutido numa apreciação final.
ALERT® is a clinical software company with products spread throughout the world. These products perform in hospitals and clinics, in which other software and IoT products are in use. This said, ALERT® products need to communicate with products from other vendors, and this communication is not always easy, since each software as its own internal knowledge. In order to achieve interoperability in sensitive information, as is any clinical data, HL7 created FHIR, a communication and data modeling protocol, making use of REST services. This is the most popular protocol on a global scale and any software that can interpret it is ready to communicate with many others. Therefore, it is beneficial for ALERT® to use this protocol within its products. Beyond this protocol, the data itself is often codified using clinical terminologies, which are systems for classifying concepts used in a healthcare context. These terminologies ensure that the meaning of a certain concept is the same everywhere, despite the language of the context or knowledge of the person. Hence, this document focus on the study and development of a set of REST services that expose clinical terminologies and are conformant with the FHIR specification. These services compose a Terminology server, which should be able to respond to every ALERT® need. In order to achieve success, the development follows ALERT® requirements created after a study on the field. The product will later on be evaluated by a set of tests that evaluate the requirements, and its success is discussed in a final appreciation.
ALERT® is a clinical software company with products spread throughout the world. These products perform in hospitals and clinics, in which other software and IoT products are in use. This said, ALERT® products need to communicate with products from other vendors, and this communication is not always easy, since each software as its own internal knowledge. In order to achieve interoperability in sensitive information, as is any clinical data, HL7 created FHIR, a communication and data modeling protocol, making use of REST services. This is the most popular protocol on a global scale and any software that can interpret it is ready to communicate with many others. Therefore, it is beneficial for ALERT® to use this protocol within its products. Beyond this protocol, the data itself is often codified using clinical terminologies, which are systems for classifying concepts used in a healthcare context. These terminologies ensure that the meaning of a certain concept is the same everywhere, despite the language of the context or knowledge of the person. Hence, this document focus on the study and development of a set of REST services that expose clinical terminologies and are conformant with the FHIR specification. These services compose a Terminology server, which should be able to respond to every ALERT® need. In order to achieve success, the development follows ALERT® requirements created after a study on the field. The product will later on be evaluated by a set of tests that evaluate the requirements, and its success is discussed in a final appreciation.
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Keywords
Cuidados de Saúde HL7 FHIR Interoperabilidade Java Terminologias Clínicas Clinical Terminologies Healthcare Interoperability