A Model to Optimize Followup Care and Reduce Hospital Readmissions after Radical Cystectomy.
作者： Naveen Krishnan , Xiang Liu , Mariel S. Lavieri , Michael Hu , Alexander Helfand
DOI: 10.1016/J.JURO.2015.11.063
关键词:
摘要: Purpose: Radical cystectomy has one of the highest readmission rates across all surgical procedures at approximately 25%. We developed a mathematical model to optimize outpatient followup regimens for radical cystectomy.Materials and Methods: used delay-time analysis, systems engineering approach, maximize probability detecting patients susceptible through office visits telephone calls. Our data source includes readmitted after from Healthcare Cost Utilization Project State Inpatient Databases in 2009 2010 as well our institutional bladder cancer database 2007 2011. measured interval hospital discharge point when patient first exhibits concerning symptoms. primary end is 30-day readmission. optimized timing sequence care cystectomy.Results: The calls more important ris...
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