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BACKGROUND: Interoperability between health information systems is a fundamental requirement to guarantee the continuity of health care for the population. The Fast Healthcare Interoperability Resource (FHIR) is the standard that enables the design and development of interoperable systems with broad adoption worldwide. However, FHIR training curriculums need an easily administered web-based self-learning platform with modules to create scenarios and questions that the learner answers. This paper proposes a system for teaching FHIR that automatically evaluates the answers, providing the learner with continuous feedback and progress. OBJECTIVE: We are designing and developing a learning management system for creating, applying, deploying, and automatically assessing FHIR web-based courses. METHODS: The system requirements for teaching FHIR were collected through interviews with experts involved in academic and professional FHIR activities (universities and health institutions). The interviews were semistructured, recording and documenting each meeting. In addition, we used an ad hoc instrument to register and analyze all the needs to elicit the requirements. Finally, the information obtained was triangulated with the available evidence. This analysis was carried out with Atlas-ti software. For design purposes, the requirements were divided into functional and nonfunctional. The functional requirements were (1) a test and question manager, (2) an application programming interface (API) to orchestrate components, (3) a test evaluator that automatically evaluates the responses, and (4) a client application for students. Security and usability are essential nonfunctional requirements to design functional and secure interfaces. The software development methodology was based on the traditional spiral model. The end users of the proposed system are (1) the system administrator for all technical aspects of the server, (2) the teacher designing the courses, and (3) the students interested in learning FHIR. RESULTS: The main result described in this work is Huemul, a learning management system for training on FHIR, which includes the following components: (1) Huemul Admin: a web application to create users, tests, and questions and define scores; (2) Huemul API: module for communication between different software components (FHIR server, client, and engine); (3) Huemul Engine: component for answers evaluation to identify differences and validate the content; and (4) Huemul Client: the web application for users to show the test and questions. Huemul was successfully implemented with 416 students associated with the 10 active courses on the platform. In addition, the teachers have created 60 tests and 695 questions. Overall, the 416 students who completed their courses rated Huemul highly. CONCLUSIONS: Huemul is the first platform that allows the creation of courses, tests, and questions that enable the automatic evaluation and feedback of FHIR operations. Huemul has been implemented in multiple FHIR teaching scenarios for health care professionals. Professionals trained on FHIR with Huemul are leading successful national and international initiatives.

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Digital Health is one of the three pillars for the effective implementation of Universal Health Coverage in Argentina. The Ministry of Health published the National Digital Health Strategy 2018-2024 in order to establish the conceptual guidelines for the design and development of interoperable health information systems as a state policy. The World Health Organization "National eHealth Strategy Toolkit", "Global Strategy on Digital Health" and other international and local evidence and expert recommendations were taken into account. The path to better healthcare involves adopting systems at the point of care, allowing for the primary recording of information and enabling information exchange through real interoperability. In that way, people, technology and processes will synergize to enhance integrated health service networks. In this paper, we describe the plan and the first two years of implementation of the strategy.

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OBJECTIVES: To present the technical background and the development of a procedure that enriches the semantics of Health Level Seven version 2 (HL7v2) messages for software-intensive systems in telemedicine trauma care. METHODS: This study followed a multilevel model-driven approach for the development of semantically interoperable health information systems. The Pre-Hospital Trauma Life Support (PHTLS) ABCDE protocol was adopted as the use case. A prototype application embedded the semantics into an HL7v2 message as an eXtensible Markup Language (XML) file, which was validated against an XML schema that defines constraints on a common reference model. This message was exchanged with a second prototype application, developed on the Mirth middleware, which was also used to parse and validate both the original and the hybrid messages. RESULTS: Both versions of the data instance (one pure XML, one embedded in the HL7v2 message) were equally validated and the RDF-based semantics recovered by the receiving side of the prototype from the shared XML schema. CONCLUSIONS: This study demonstrated the semantic enrichment of HL7v2 messages for intensive-software telemedicine systems for trauma care, by validating components of extracts generated in various computing environments. The adoption of the method proposed in this study ensures the compliance of the HL7v2 standard in Semantic Web technologies.

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Help4Mood is a project inside 7th European Framework Programme (FP7) for developing a computational distributed system to support remotely the treatment of patients with major depression at home. Core components are integrated with Health Level Seven (HL7) standard. One of the main goals of this system is to use the paradigm of a Virtual Agent to support the first symptoms of clinician alert of a patient, to interact with him an to prevent some causes of relapse. The system processes inputs from different devices (to monitor sleeping, eating and motor activity) in a decision support system, and the Virtual Agent interacts with the patient before clinical support from hospital is needed. The technical framework is using the open source HL7-standard-based healthcare integration engine, Mirth Connect, to interact with the different subsystems, analyze data and give different priorities for messages in queues. Particularly, the use of standard HL7 will contribute to interest in the project results and the potential impact through the development, dissemination and use, as stated in the analysis of the European commission.

Help4Mood é um projeto do 7 º Programa de Framework Europeu (FP7) para desenvolvimento de um sistema computacional distribuído para apoio remoto de tratamento domiciliar de pacientes com depressão. Os principais componentes são integrados com o padrão Health Level Seven (HL7). Um dos objetivos principais deste sistema é a utilização do paradigma de um agente virtual para apoiar os primeiros sintomas de alerta clínico de um paciente, interagirindo com ele de forma a impedir que algumas ocorrências de recaída. O sistema processa as entradas de dispositivos diferentes (para monitorar a dormir, comer e atividade motora) em um sistema de apoio à decisão, e o Agente Virtual interage com o paciente antes que o atendimento clínico hospitalar seja necessário. O framework usa o código-fonte ?open source? como motor de integração baseado no padrão HL7, chamado ?Mirth Connect? a fim de interagir com os diferentes subsistemas, analisar os dados, e dar prioridades diferentes para as mensagens enviadas. A utilização do padrão HL7, por certo, contribuirá para os resultados do projeto e o impacto potencial através do desenvolvimento, difusão e utilização, como referenciado na análise da Comissão Europeia do programa.

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En el Uruguay el Decreto Nº 396/003 sobre Historia clínica electrónica establece que los datos patronímicos tienen que separarse de los datos clínicos salvo contexto de atención medica, el CDA es un documento que normalmente contiene ambos. Utilizamos esta especificación para registrar el documento clínico referente a la ?descripción operatoria?, restringiendo lo patronímico a un solo identificador, el cual permite encontrar los datos almacenados en otro sistema desacoplado. La conciliación del identificador con la información patronímica, se realiza mediante transacciones IHE pertenecientes al perfil PDQ de forma transparente al usuario autorizado, que edita o revisa el documento.

In Uruguay, the Decree No. 396/003 on electronic medical records states that patronymic data must be separated from clinical data except in the medical care context, the CDA is a document that typically contains both. We use this specification to record the clinical document regarding ?operative description?, restricting the patronymic information to a single identifier, which allows to find data stored on another disengaged system. Reconciliation of the identifier with the patronymic information is effected through IHE transactions belonging to the PDQ Profile which it is done transparently to the user authorized to edit or revise the document.

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