Using data to reduce hospital readmissions.
This article describes the importance and the development of data concerning hospital readmissions as an outcomes indicator. It emphasizes the need for consistent definition of readmissions according to time intervals and diagnostic categories. It describes the development of readmission information using computer abstract databases to ensure consistency of indicators. It also provides examples of data developed through this approach.
Franklin
P D
PD
University Hospital-SUNY HSC, Syracuse, USA.
Noetscher
C M
CM
Murphy
M E
ME
Lagoe
R J
RJ
D003627:Data Interpretation, Statistical; D006801:Humans; D009518:New York; D009738:Nursing Service, Hospital / Q000592:standards*; D017063:Outcome Assessment, Health Care / Q000379:methods*; D010359:Patient Readmission / Q000706:statistics & numerical data*; D019984:Quality Indicators, Health Care; D014481:United States