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Network Analysis of Academic Medical Center Websites in the United States.
- Source :
- Scientific Data; 4/28/2023, Vol. 10 Issue 1, p1-13, 13p
- Publication Year :
- 2023
-
Abstract
- Healthcare resources are published annually in repositories such as the AHA Annual Survey Database<superscript>TM</superscript>. However, these data repositories are created via manual surveying techniques which are cumbersome in collection and not updated as frequently as website information of the respective hospital systems represented. Also, this resource is not widely available to patients in an easy-to-use format. Network analysis techniques have the potential to create topological maps which serve to aid in pathfinding for patients in their search for healthcare services. This study explores the topological structure of forty United States academic health center websites. Network analysis is utilized to analyze and visualize 48,686 webpages. Several elements of network structure are examined including basic network properties, and centrality measures distributions. The Louvain community detection algorithm is used to examine the extent to which these techniques allow identification of healthcare resources within networks. The results indicate that websites with related healthcare services tend to form observable clusters useful in mapping key resources within a hospital system. [ABSTRACT FROM AUTHOR]
- Subjects :
- ACADEMIC medical centers
HEALTH websites
DATA libraries
WEBSITES
HOSPITALS
Subjects
Details
- Language :
- English
- ISSN :
- 20524463
- Volume :
- 10
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Scientific Data
- Publication Type :
- Academic Journal
- Accession number :
- 163414664
- Full Text :
- https://doi.org/10.1038/s41597-023-02104-3