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- W4245990803 abstract "Data visualization techniques are widely applied in all kinds of organizations, turning tables of numbers into visualizations for discovery, information communication, and knowledge sharing. Data visualization solutions can be found everywhere in healthcare systems from hospital operations monitoring and patient profiling to demand projection and capacity planning. In this chapter, interactive data visualization techniques are discussed and their applications to various aspects of healthcare systems are explored. Compared to static data visualization techniques, interactive ones allow users to explore the data and find the insights themselves. Four case studies are given to illustrate how interactive data visualization techniques are applied in healthcare: summary and overview, information selection and filtering, patient flow visualization, and geographical and longitudinal analyses. These case studies show that interactive data visualization techniques expand the boundary of data visualization as a pure presentation tool and bring certain analytical capability to support better healthcare decision making." @default.
- W4245990803 created "2022-05-12" @default.
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- W4245990803 date "2017-01-30" @default.
- W4245990803 modified "2023-09-25" @default.
- W4245990803 title "Interactive Data Visualization Techniques Applied to Healthcare Decision Making" @default.
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- W4245990803 doi "https://doi.org/10.4018/978-1-5225-1837-2.ch052" @default.
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