@neurIST - Chronic disease management through integration of heterogeneous data and computer-interpretable guideline services

R. Dunlop, A. Arbona, H. Rajasekaran, L. Lo Iacono, J. Fingberg, P. Summers, S. Benkner, G. Engelbrecht, A. Chiarini, C. M. Friedrich, B. Moore, P. Bijlenga, J. Iavindrasana, R. D. Hose, A. F. Frangi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an overview of computerised decision support for clinical practice. The concept of computer-interpretable guidelines is introduced in the context of the @neurIST project, which aims at supporting the research and treatment of asymptomatic unruptured cerebral aneurysms by bringing together heterogeneous data, computing and complex processing services. The architecture is generic enough to adapt it to the treatment of other diseases beyond cerebral aneurysms. The paper reviews the generic requirements of the @neurIST system and presents the innovative work in distributing executable clinical guidelines.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
Pages173-177
Number of pages5
Volume138
Publication statusPublished - 2008
Event6th Annual HealthGrid Conference - Global HealthGrid: E-Science Meets Biomedical Informatics, HealthGrid 2008 - Chicago, IL, United States
Duration: Jun 2 2008Jun 4 2008

Other

Other6th Annual HealthGrid Conference - Global HealthGrid: E-Science Meets Biomedical Informatics, HealthGrid 2008
CountryUnited States
CityChicago, IL
Period6/2/086/4/08

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ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Dunlop, R., Arbona, A., Rajasekaran, H., Iacono, L. L., Fingberg, J., Summers, P., Benkner, S., Engelbrecht, G., Chiarini, A., Friedrich, C. M., Moore, B., Bijlenga, P., Iavindrasana, J., Hose, R. D., & Frangi, A. F. (2008). @neurIST - Chronic disease management through integration of heterogeneous data and computer-interpretable guideline services. In Studies in Health Technology and Informatics (Vol. 138, pp. 173-177)