The identification of high-cost patients. Academic Article uri icon


  • 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.

published proceedings

  • Hosp Top

author list (cited authors)

  • Radcliff, T. A., Ct, M. J., & Duncan, R. P.

citation count

  • 10

complete list of authors

  • Radcliff, Tiffany A||Côté, Murray J||Duncan, R Paul

publication date

  • July 2005