SPLiCE

Abstract

In face of well-known inhibitor factors for the dissemination of Healthcare Information Systems (HIS)-e.g., high development cost, lack of standardization, and technologyorientation-, model-driven engineering (MDE) in general, and OMG's model-driven architecture (MDA) in particular, has been referred to in the medical informatics literature as a cost-effective proposal to advance maintainable HIS. In this paper, we propose an MDE method for HISes that goes beyond MDA. This method seeks a higher degree of maintainability and reuse by adhering to three main principles: transversalization of data models and architecture models, dualization of information and clinical data models, and stylization of architecture models. To support this method on the generation of HIS skeletons, we are progressing work on the development of a software product line called SPLiCE (Software Product Line for healthCarE) that weaves together clinical data models described according to the openEHR specifications and architecture models specified in the Acme language.

Toward Integrating Healthcare Data and Systems

“…However, even though the adoption of health information systems (HIS) by medical providers is starting to approach a wider acceptance in usage, the corresponding and required integration of healthcare data and systems via HIE remains a challenging problem, technologically as well as politically. On the side of technology, factors that limit adoption of HISs and HIE have been identified (Gomes, Ziviani, Correa, Teixeira, & Moreira, 2012): a high development cost associated with HIE; a lack of agreed upon open-standardization particularly in regard to the sharing and exchange of data; a focus on brute force technology solutions rather than a healthcare process orientation that considers the needs of patients and providers and high data availability across HISs; and, the difficulty in maintaining HIE across multiple HISs that have the potential to evolve with new capabilities. On the political side, there is concern by major medical providers (e.g., hospitals in a particular region) that sharing data may lead to losing business (patients).…”

An Architectural Solution for Health Information Exchange

“…On the side of technology, factors that limit adoption of HITs and HIE have been identified (Gomes, Ziviani, Correa, Teixeira, & Moreira, 2012): a high development cost associated with HIE; a lack of agreed upon open-standardization particularly in regards to the sharing and exchange of data; a focus on brute force technology solutions rather than a healthcare process orientation that considers the needs of patients and providers and high data availability across HITs; and, a difficulty in maintaining HIE across multiple HITs that have the potential to evolve with new capabilities. On the political side, there is concern by major medical providers (e.g., hospitals and other healthcare providers in a particular region) that sharing data may lead to losing patients to competitors.…”

Engenharia Do Conhecimento De Sistemas De Informação Em Saúde Com Base Em Modelos Multinível Minimalistas

“…10 Os esforços mais bem sucedidos neste domínio se referem à adoção de métodos de engenharia de software orientados a modelos, sendo que já existem propostas nacionais sendo executadas neste sentido. 12,13 Mais especificamente, nas últimas duas décadas, uma abordagem diferente tem sido proposta, e é genericamente denominada de Modelagem Multi-Introdução A efetividade dos sistemas de saúde pode ser medida pela sua adequação ao perfil demográfico e epidemiológico da população-alvo. 1 Nas últimas décadas, esses perfis têm apresentado mudanças rápidas e complexas, devidas à globalização, como pode ser visto durante a ocorrência de epidemias e pandemias, 2 bem como no dia a dia superlotado dos serviços de emergência.…”