USING THE DUAL-LEVEL MODELING APPROACH TO DEVELOP APPLICATIONS FOR PERVASIVE HEALTHCARE

Authors

  • JOÃO LUÍS CARDOSO DE MORAES Federal University of São Carlos, Computer Science, São Carlos, Brazil
  • WANDERLEY LOPES DE SOUZA Federal University of São Carlos, Computer Science, São Carlos, Brazil
  • LUÍS FERREIRA PIRES University of Twente, Software Engineering Group, Enschede, The Netherlands
  • LUCIANA TRICAI CAVALINI Rio de Janeiro State University, Department of Health Information Technology, Brazil
  • ANTÔNIO FRANCISCO DO PRADO Federal University of São Carlos, Computer Science, São Carlos, Brazil

Keywords:

Pervasive Healthcare, Ubiquitous Computing, openEHR, Dual-level Modeling, Archetypes, Domain-Specific Language

Abstract

Health information technology is the area of IT involving the design, development, creation, use and maintenance of information systems for the healthcare industry. Automated and interoperable healthcare information systems are expected to lower costs, improve efficiency and reduce error, while also providing better consumer care and service. Pervasive Healthcare focuses on the use of new technologies, tools, and services, to help patients play a more active role in the treatment of their conditions. Pervasive Healthcare environments demand a huge amount of information exchange, and specific technologies have been proposed to provide interoperability between the systems that comprise such environments. However, the complexity of these technologies makes it difficult to fully adopt them and to migrate Centered Healthcare Environments to Pervasive Healthcare Environments. Therefore, this paper proposes an approach to develop applications in the Pervasive Healthcare environment, through the use of dual-level modeling based on Archetypes. This approach was demonstrated and evaluated in a controlled experiment that we conducted in the cardiology department of a hospital located in the city of Marília (São Paulo, Brazil). An application was developed to evaluate this approach, and the results showed that the approach is suitable for facilitating the development of healthcare systems by offering generic and powerful capabilities.

 

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Published

2013-08-11

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