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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computer Graphics Fo...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computer Graphics Forum
Article . 2014 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
DBLP
Article . 2014
Data sources: DBLP
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Visualization of Medicine Prescription Behavior

Authors: Corput, van der, P.N.A.; Arends, J.B.A.M.; Wijk, van, J.J.;

Visualization of Medicine Prescription Behavior

Abstract

AbstractMedicine prescriptions play an important role in medical treatments. More insight in medicine prescription behavior can lead to more efficient and effective treatments, as well as reflection on prescription behavior for specific physicians, types of medicines, or classes of patients. Most current medical visualization systems show health data only from the perspective of patients, whereas to understand prescription behavior multiple perspectives are relevant. We present a new approach to visualize prescription data from four different perspectives: physician, patient, medicine, and prescription. Information about physicians, patients, and medicines is shown in three tables; relations between selected items in these tables are shown using custom glyphs and histograms. These tables can also be used to define selections of prescriptions which can be compared to each other by showing a variety of metrics. This enables physicians and possibly other stakeholders to perform a wide variety of queries and inspections, while the use of familiar metaphors, such as tables and histograms, enables them to use the system in short time. This was confirmed by an evaluation session with six neurologists from an institute of epileptology. Our system is tailored to medicine prescription data, but we argue that the underlying pattern in the data is ubiquitous, and that hence our approach can be useful for many other cases where A provides B to C.

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Netherlands
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Average
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