Skip to main content
 
Notice: Users may be experiencing issues with displaying some pages on stanfordhealthcare.org. We are working closely with our technical teams to resolve the issue as quickly as possible. Thank you for your patience.
Stanford Health Care

A primer on data visualization in infection prevention and antimicrobial stewardship

A primer on data visualization in infection prevention and antimicrobial stewardship INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY Salinas, J. L., Kritzman, J., Kobayashi, T., Edmond, M. B., Ince, D., Diekema, D. J. 2020; 41 (8): 948-957

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.

View details for DOI 10.1017/ice.2020.142

View details for Web of Science ID 000553062300013

View details for PubMedID 32389138