The identification of high-cost patients.
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The authors examine whether retrospective claims data are useful to distinguish future high-cost cases among the uninsured. They rely on internal claims and accounting data for the calendar years from 1999 to 2001 from a representative safety net facility to describe the distribution of costs and any characteristics that distinguish high-cost patients from other uninsured patients. They conclude that administrative data combined with in-depth survey information could be a useful approach for identifying cases for intensive case management.
author list (cited authors)
Radcliff, T. A., Ct, M. J., & Duncan, R. P.
complete list of authors
Radcliff, Tiffany A||Côté, Murray J||Duncan, R Paul