Persistência de dados clínicos baseada nas definições ADL de arquétipos do OpenEHR

• Ano de defesa: 2016
• Autor(a) principal: Silva, Áurea Valéria Pereira da
• Orientador(a): Leitão Júnior, Plínio de Sá
• Banca de defesa: Leitão Júnior, Plínio de Sá, Vicenzi, Auri Marcelo Rizzo, Silva, João Carlos da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
• Departamento: Instituto de Informática - INF (RG)
• País: Brasil
• Palavras-chave em Português: Persistência de dados clínicos; Persistência direta de arquétipos; Interoperabilidade de registros eletrônicos de saúde
• Palavras-chave em Inglês: Clinical data persistence; Direct persistence of archetypes; Interoperability of electronic health records
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/6726

Introduction: OpenEHR is a standardization of Health Information Systems (HIS) that is mainly concerned with the exchange of Electronic Health Records (EHR). One of the major obstacles to the adoption of openEHR is the lack of database persistence specifications. Objective: The aim of this work is the mapping of storage structures from the Archetype Definition Language (ADL) specifications which describe clinical knowledge structure. Method: This research initially makes a systematic mapping about persistence structures that are derived directly from ADL specifications, i.e. without dependences from the Reference Model (RM) of openEHR. A new persistence strategy is proposed and compared with ones found in the literature. Results: Assumptions, criteria and rules were used to present the proposed approach. Its evaluation considered quantitative aspects of persistence structures. Conclusion: The evaluation revealed some advantages of proposed approach, such as: reductions of reference attributes (referential integrity) and redundancy in clinical database; production of unidentified clinical records in relation to the patient; creation of a single base table for each archetype, regardless of its use in the form of slots; scalability of database schema (stable number of database tables), even in the occurrence of recursion through slots.