A primer on data visualization in infection prevention and antimicrobial stewardship. (11th August 2020)

• Record Type: Journal Article
• Authors: Salinas, Jorge L.; Kritzman, Jeffrey; Kobayashi, Takaaki; Edmond, Michael B.; Ince, Dilek; Diekema, Daniel J.
• Is Part Of: Infection control and hospital epidemiology. Volume 41:Number 8(2020)
• Page Start: 948
• Page End: 957
• Publication Date: 2020-08-11
• Subjects: Nosocomial infections -- Epidemiology -- Periodicals; Health facilities -- Sanitation -- Periodicals; Hospital buildings -- Sanitation -- Periodicals; Cross Infection -- Periodicals; Epidemiology -- Periodicals; Hospitals -- Periodicals; Infection Control -- Periodicals; 614.44
• DOI: 10.1017/ice.2020.142
• Languages: English
• ISSNs: 0899-823X

Abstract

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.