Desafios no desenvolvimento de prontuários eletrônicos baseados em arquétipos: avaliação fisioterapêutica funcional / Challenges in archetype-based development of electronic health records: physical therapy functional evaluation

INTRODUÇÃO: Cada vez mais, são necessários prontuários eletrônicos de pacientes (PEP) que contemplem informações específicas para a fisioterapia e que atendam aos requisitos de padronização e comunicação de dados. A modelagem baseada em arquétipos pode permitir a construção de PEP que atendem às necessidades da assistência ao paciente, garantindo a interoperabilidade entre sistemas e a sua usabilidade. Nesse contexto, a criação dos arquétipos é um passo crucial e determinante para um PEP específico e adequado para avaliação fisioterapêutica dos pacientes com lesão medular espinhal (LME). O objetivo deste estudo foi criar arquétipos e representá-los a partir da definição de um conjunto de dados clínicos para avaliação fisioterapêutica funcional de pacientes com LME, descrevendo os desafios, as dificuldades e as perspectivas durante o desenvolvimento e a modelagem do sistema. MÉTODO: Estudo exploratório, qualitativo e parcialmente observacional, dividido em duas fases: definição e validação dos dados clínicos para avaliação fisioterapêutica funcional de pacientes com LME e desenvolvimento dos arquétipos a partir dos dados definidos, utilizando a ferramenta OpenEHR Archetype Editor. RESULTADOS: Foram criados 24 arquétipos a partir da elaboração de um conjunto de dados para avaliação fisioterapêutica funcional de pacientes com LME. Em seguida, foi elaborado um protótipo a partir do arquétipo "Mobilidade" da parte "Avaliação Motora", para visualizar a interface do PEP. CONCLUSÃO: O conjunto formado serviu como base essencial para criação dos arquétipos. Esta abordagem favorece uma avaliação funcional com dados relevantes e permite uma avaliação completa, adequada e com facilidade de acesso aos dados.

INTRODUCTION: Electronic health records (EHR) that contemplate specific information for physiotherapy and cater to the required standard and data communication are more necessary each day. Archetype based modeling may allow the construction of EHR that attempts the patient's assistance needs, ensuring the interoperability between systems and its usability. In these circumstances, the archetype creation is a crucial and determinant step for a specific and adequate EHR for physical therapy evaluation of patients with spinal cord injury (SCI). The aim of this study was to create archetypes and represent through the definition of a clinical data set for evaluation of patients with SCI, describing the challenges, the difficulties and the perspectives during the system's development and the modeling. METHODS: Exploratory study, divided in two phases: definition and validation of clinical data set for physical therapy functional evaluation of patients with SCI and archetype development based on the data defined, using the OpenEHR Archetype Editor. RESULTS: 24 archetypes were created after the development of a data set for physical therapy functional evaluation of patients with SCI. After that, a prototype was developed after the archetype "Mobility" of the "Motor Evaluation" part to visualize the EHR interface. CONCLUSION: The data set developed was essential for the archetype's creation. This approach facilitates a functional evaluation with relevant data, and allows a complete and adequate evaluation with easy access to the data.

SeyeS - support system for preventing the development of ocular disabilities in leprosy.

Leprosy is an infectious disease caused by Mycobacterium Leprae, and generally compromises neural fibers, leading to the development of disabilities. These limit daily activities or social life. In leprosy, the study of disability considered functional (physical) and activity limitations; and social participation. These are measured respectively by EHF and SALSA scales; by and PARTICIPATION SCALE: The objective of this work was to propose a support system, SeyeS, to eyes disabilities development and progression identification, applying Bayesians network - BN's. It is expected that the proposed system be applied in monitoring the patient during treatment and after therapeutic cure of leprosy. SeyeS presented specificity 1 and sensitivity 0.6 in the identification of ocular disabilities development. With Seyes was discovered that the presence of trichiasis and lagophthalmos, tend to increase the probability of developing more disabilities. Otherwise, characteristics as cataracts tend to decrease development of other disabilities, considering that medical interventions could reduce it. The more import of this system is to indicate what should be monitored, and which elements needs interventions to not increasing patient's ocular disabilities.