PRINCIPAL COMPONENT ANALYSIS FOR DECISION MAKING IN HEALTHCARE AND HOSPITAL READMISSIONS

2021 Issues in Information Systems  
The authors examined datafiles from a hospital system and applied various analytical techniques including principal component analysis to determine the drivers of readmission. Results were discussed with respect to Medicare "all-cause" 30-day readmission policy. The study highlights decision support value of hospital data and the need to utilize them for continuing healthcare quality management, cost reduction and patient outcomes.
doi:10.48009/4_iis_2021_372-380 fatcat:6pt6ccerrzg3jknehmdbycnkma