Authors:
Denisse Kim
1
;
Manuel Campos
1
;
2
;
Bernardo Canovas-Segura
1
and
Jose Juarez
1
Affiliations:
1
Med AI Lab, University of Murcia, Campus Espinardo, Murcia, 30100, Spain
;
2
Murcian Bio-Health Institute (IMIB-Arrixaca), El Palmar, Murcia, 30120, Spain
Keyword(s):
Visualization Application, Infection Control, Outbreak, Health, Hospital-Acquired Infection.
Abstract:
Hospital-acquired infections (HAIs) are a major concern today, especially when related to multidrug-resistant bacteria, as they are associated with increases in healthcare costs, prolonged length of stay, and attributable mortality. Tracking the presence of these infections requires interweaving spatial-temporal information from patients and microbiological laboratory results. However, this is normally a manual process and the big amounts of daily clinical data makes it error-prone and time-consuming. In these processes, the temporal dimension is usually taken into account, but not the topology and spatial distribution of patients within a hospital building. Interactive Information Visualization can be used to bring together information from various data sources and to make these spatial-temporal relationships understandable to the human eye. We propose a new interactive visual tool for the exploration of infection spreads within hospitals. The tool presents several connected views t
o help analyze the epidemic situation of a hospital over time and understand the information contained in the epidemiological indicators.
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