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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