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Dynamic capacity allocation in a radiology service considering different types of patients, individual no-show probabilities, and overbooking.

Rodolfo Benedito Zattar da SilvaFlávio Sanson FogliattoAndré KrindgesMoiseis Dos Santos Cecconello
Published in: BMC health services research (2021)
Based on such recommendation and observing the state of the system at any given period (representing the number of patients waiting for service), radiology department managers should be able to make a decision (i.e., define number and type of patients) that should be selected for service such that the system's cost is minimized.
Keyphrases
  • end stage renal disease
  • newly diagnosed
  • chronic kidney disease
  • healthcare
  • ejection fraction
  • peritoneal dialysis
  • prognostic factors
  • tertiary care