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1.
Stud Health Technol Inform ; 129(Pt 1): 33-7, 2007.
Artigo em Inglês | MEDLINE | ID: mdl-17911673

RESUMO

São Paulo is the largest city in Brazil and one of the largest cities in the world. In 2004, São Paulo City Department of Health decided to implement a Healthcare Information System to support managing healthcare services and provide an ambulatory health record. The resulting information system is one of the largest public healthcare information systems ever built, with more than 2 million lines of code. Although statistics shows that most software projects fail, and the risks for the São Paulo initiative were enormous, the information system was completed on-time and on-budget. In this paper, we discuss the software engineering principles adopted that allowed to accomplish that project's goals, hoping that sharing the experience of this project will help other healthcare information systems initiatives to succeed.


Assuntos
Sistemas de Informação em Atendimento Ambulatorial , Sistemas de Informação , Sistemas Computadorizados de Registros Médicos , Informática em Saúde Pública , Software , Brasil , Atenção à Saúde , Órgãos Governamentais , Humanos , Design de Software
2.
Stud Health Technol Inform ; 107(Pt 1): 62-6, 2004.
Artigo em Inglês | MEDLINE | ID: mdl-15360775

RESUMO

This paper describes a method for using Semantic Web technologies for sharing knowledge in healthcare. It combines deductive databases and ontologies, so that it is possible to extract knowledge that has not been explicitly declared within the database. A representation of the UMLS (Unified Medical Language System) Semantic Network and Metathesaurus was created using the RDF standard, in order to represent the basic medical ontology. The inference over the knowledge base is done by the TRI-DEDALO System, a deductive data-base created to query and update RDF based knowledge sources as well as conventional relational databases. Finally, an ontology was created for the Brazilian National Health Card data interchange format, a standard to capture and transmit health encounter information throughout the country. This paper demonstrates how this approach can be used to integrate heterogeneous information and to answer complex queries in a real world environment.


Assuntos
Redes de Comunicação de Computadores/normas , Sistemas de Informação/organização & administração , Registro Médico Coordenado/métodos , Sistemas Computadorizados de Registros Médicos/organização & administração , Vocabulário Controlado , Brasil , Redes de Comunicação de Computadores/organização & administração , Humanos , Sistemas de Informação/normas , Sistemas Computadorizados de Registros Médicos/normas , Sistemas de Identificação de Pacientes , Semântica , Integração de Sistemas , Unified Medical Language System
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