4 resultados para integrated management system (IMS)
em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo
Resumo:
Objective: To describe and analyze the teaching of the Integrated Management of hildhood Illness (IMCI) strategy on Brazilian undergraduate nursing programs. Method: Integrating an international multicentric study, a cross-sectional online survey was conducted between May and October 2010 with 571 undergraduate nursing programs in Brazil Results: Responses were received from 142 programs, 75% private and 25% public. 64% of them included the IMCI strategy in the theoretical content, and 50% of the programs included IMCI as part of the students’ practical experience. The locations most used for practical teaching were primary health care units. The ‘treatment’ module was taught by the fewest number of programs, and few programs had access to the IMCI instructional manuals. All programs used exams for evaluation, and private institutions were more likely to include class participation as part of the evaluation. Teaching staff in public institutions were more likely to have received training in teaching IMCI. Conclusion: In spite of the relevance of the IMCI strategy in care of the child, its content is not addressed in all undergraduate programs in Brazil, and many programs do not have access to the IMCI teaching manuals and have not provide training in IMCI to their teaching staff.
Resumo:
Background The use of the knowledge produced by sciences to promote human health is the main goal of translational medicine. To make it feasible we need computational methods to handle the large amount of information that arises from bench to bedside and to deal with its heterogeneity. A computational challenge that must be faced is to promote the integration of clinical, socio-demographic and biological data. In this effort, ontologies play an essential role as a powerful artifact for knowledge representation. Chado is a modular ontology-oriented database model that gained popularity due to its robustness and flexibility as a generic platform to store biological data; however it lacks supporting representation of clinical and socio-demographic information. Results We have implemented an extension of Chado – the Clinical Module - to allow the representation of this kind of information. Our approach consists of a framework for data integration through the use of a common reference ontology. The design of this framework has four levels: data level, to store the data; semantic level, to integrate and standardize the data by the use of ontologies; application level, to manage clinical databases, ontologies and data integration process; and web interface level, to allow interaction between the user and the system. The clinical module was built based on the Entity-Attribute-Value (EAV) model. We also proposed a methodology to migrate data from legacy clinical databases to the integrative framework. A Chado instance was initialized using a relational database management system. The Clinical Module was implemented and the framework was loaded using data from a factual clinical research database. Clinical and demographic data as well as biomaterial data were obtained from patients with tumors of head and neck. We implemented the IPTrans tool that is a complete environment for data migration, which comprises: the construction of a model to describe the legacy clinical data, based on an ontology; the Extraction, Transformation and Load (ETL) process to extract the data from the source clinical database and load it in the Clinical Module of Chado; the development of a web tool and a Bridge Layer to adapt the web tool to Chado, as well as other applications. Conclusions Open-source computational solutions currently available for translational science does not have a model to represent biomolecular information and also are not integrated with the existing bioinformatics tools. On the other hand, existing genomic data models do not represent clinical patient data. A framework was developed to support translational research by integrating biomolecular information coming from different “omics” technologies with patient’s clinical and socio-demographic data. This framework should present some features: flexibility, compression and robustness. The experiments accomplished from a use case demonstrated that the proposed system meets requirements of flexibility and robustness, leading to the desired integration. The Clinical Module can be accessed in http://dcm.ffclrp.usp.br/caib/pg=iptrans webcite.
Resumo:
Abstract Background Recent medical and biological technology advances have stimulated the development of new testing systems that have been providing huge, varied amounts of molecular and clinical data. Growing data volumes pose significant challenges for information processing systems in research centers. Additionally, the routines of genomics laboratory are typically characterized by high parallelism in testing and constant procedure changes. Results This paper describes a formal approach to address this challenge through the implementation of a genetic testing management system applied to human genome laboratory. We introduced the Human Genome Research Center Information System (CEGH) in Brazil, a system that is able to support constant changes in human genome testing and can provide patients updated results based on the most recent and validated genetic knowledge. Our approach uses a common repository for process planning to ensure reusability, specification, instantiation, monitoring, and execution of processes, which are defined using a relational database and rigorous control flow specifications based on process algebra (ACP). The main difference between our approach and related works is that we were able to join two important aspects: 1) process scalability achieved through relational database implementation, and 2) correctness of processes using process algebra. Furthermore, the software allows end users to define genetic testing without requiring any knowledge about business process notation or process algebra. Conclusions This paper presents the CEGH information system that is a Laboratory Information Management System (LIMS) based on a formal framework to support genetic testing management for Mendelian disorder studies. We have proved the feasibility and showed usability benefits of a rigorous approach that is able to specify, validate, and perform genetic testing using easy end user interfaces.
Resumo:
The aim of this work was to review the role of the host marking pheromone (HMP) and its application in integrated management programs for the fruit flies. Initially the oviposition behavior of tephritids has been analyzed with emphasis on Ceratitis capitata. The deposition of HMP, which consists in the last stage of the oviposition behavior has been characterized and discussed about evolutive aspects and the biological meaning of the tephritidae communication through the HMP. Finally, the perspectives on the use of HMP in the integrated management of fruit flies have been discussed.