Forecasting: unknowns and intangibles
- PMID: 10246191
Forecasting: unknowns and intangibles
Abstract
If the rate at which the patient population of a mental hospital is likely to decline can be predicted with reasonable accuracy, policies and plans can be put on a realistic basis. Len Goldstone, of the University of Manchester Institute of Science and Technology, explains how simulation can give planners and managers a better chance of meeting future needs.