| Summary: | A review of software program PsyberNetTM|AmA Length-of-Stay Predictor for Psychiatry, by George E. Davis, Walter E. Lowell, and Geoffrey L. Davis. This program offers a quick second opinion about predicted length of stay for psychiatric inpatients and could be administered in preadmission screening. Based on neural network programming, the program's algorithms are “retrained” with the data of the clinician's own institution or practice. As data are accumulated, the software adjusts the weights of a variety of factors based upon the characteristics of the clinician's population. PsybernetTM demonstrates how artificial intelligence can potentially meet very specific needs and help manage resource utilization. It is software that could be explored by any psychiatric program that wanted to better grasp issues relating to discharge planning and inpatient length of stay. The program and some of its functions are described.
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