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Business Intelligence for Nutrition Therapy

Business Intelligence for Nutrition Therapy

Rita Reis, Ana Mendonça, Diana Lisandra Azevedo Ferreira, Hugo Peixoto, José Machado
ISBN13: 9781522569152|ISBN10: 1522569154|EISBN13: 9781522569169
DOI: 10.4018/978-1-5225-6915-2.ch022
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MLA

Reis, Rita, et al. "Business Intelligence for Nutrition Therapy." Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 459-474. https://doi.org/10.4018/978-1-5225-6915-2.ch022

APA

Reis, R., Mendonça, A., Ferreira, D. L., Peixoto, H., & Machado, J. (2019). Business Intelligence for Nutrition Therapy. In I. Management Association (Ed.), Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications (pp. 459-474). IGI Global. https://doi.org/10.4018/978-1-5225-6915-2.ch022

Chicago

Reis, Rita, et al. "Business Intelligence for Nutrition Therapy." In Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 459-474. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-6915-2.ch022

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Abstract

The assessment of health status in communities throughout the world is a massive information technology challenge. Data warehousing provides a flexible environment to support the business management and serve as an integrated repository for data. With the addition of models and analytic tools that have the potential to provide actionable information resources and support effective problem identification, critical decision-making, and strategy formulation, implementation, and evaluation. Of particular interest are the factors of influence like the patient's height or weight and its impact on processes and results. A multidimensional process is a way to discover health care processes according to certain factors of influence. This study aims to implement a data warehousing environment for decision support, in the context of nutrition evaluation, to integrate data obtained from a health care facility. This paper highlights the implementation of Business Intelligence in health care settings allows searching and interpreting stored information to support decisions concerning people's life.

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