Abstract
Use of computer-based statistical models to support decision making may reduce the subjectivity and uncertainty in this process of more acceptable levels. Multivariate procedures capture the collective experience of many workers by integrating information from a large number of variables and cases. Once a predictive model has been developed and validated, the profile of new cases can be compared to cases already on the data base. The probability of critical case events such as admission tocare, occurence of abuse, and placement breakdown can be identified. Such capabilities could also be incorporated into the development of computerized information systems. This would faciliate case planning and a more equitable and effective match between client needs and resource utilization.
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