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A primer on data visualization in infection prevention and antimicrobial stewardship

Published online by Cambridge University Press:  11 May 2020

Jorge L. Salinas Open the ORCID record for Jorge L. Salinas [Opens in a new window] ,
Jeffrey Kritzman ,
Takaaki Kobayashi ,
Michael B. Edmond ,
Dilek Ince  and
Daniel J. Diekema
Jorge L. Salinas*
Affiliation:
The University of Iowa Hospitals & Clinics, Iowa City, Iowa
Jeffrey Kritzman
Affiliation:
The University of Iowa Hospitals & Clinics, Iowa City, Iowa
Takaaki Kobayashi
Affiliation:
The University of Iowa Hospitals & Clinics, Iowa City, Iowa
Michael B. Edmond
Affiliation:
The University of Iowa Hospitals & Clinics, Iowa City, Iowa
Dilek Ince
Affiliation:
The University of Iowa Hospitals & Clinics, Iowa City, Iowa
Daniel J. Diekema
Affiliation:
The University of Iowa Hospitals & Clinics, Iowa City, Iowa
*
Author for correspondence: Jorge L. Salinas, E-mail: [email protected]
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Abstract

Data visualization refers to the techniques used to communicate information by encoding it as visual objects (eg, points, lines, or bars) contained in graphics. The recent acceleration in informatics technology has made it possible to obtain and process large amounts of data. Although data visualization can provide insights from large datasets, it can also help simplify messaging, making information more accessible for healthcare stakeholders. The field of data visualization is constantly evolving, and new techniques are frequently being created. However, evidence regarding the best way to visualize data in the fields of infection prevention and antimicrobial stewardship is limited. We provide an overview of data visualization theory and history, as well as recommendations for creating graphs for infection prevention and antimicrobial stewardship.

Type
Review
Information
Infection Control & Hospital Epidemiology , Volume 41 , Issue 8 , August 2020 , pp. 948 - 957
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Copyright
© 2020 by The Society for Healthcare Epidemiology of America. All rights reserved.

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