Importance

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Abstract

A system and method for assessing risk, monitoring risk, and managing caseloads of individuals under risk assessment is provided. The system includes a network server computer that stores into memory information regarding each individual's environment, behavior, physical condition, personal relationships, and/or mental state of being. Similar information regarding other individuals associated with the individual being assessed for risk also may be stored in the server memory. Individuals under risk assessment, individuals associated with individuals under risk assessment, and workers responsible for overseeing individuals under risk assessment may input this information into the server memory. The server processes this information for input into a risk assessment application that may include a fuzzy logic, neural network, neuro-fuzzy, or other artificial intelligence software or hardware to compute a composite risk score. The system provides workers an alarm signal when an individual's assessed score exceeds a predetermined level. The system provides workers an alarm signal when an assessed score of an individual exceeds a predetermined level or falls into a predetermined classification category. Worker caseloads are automatically updated and/or prioritized by the system in accordance with alarm signals present in the server database. The system and method also provide individuals accessing the system with helpful resources based on information they provide the system server, and a means for communication between system users.

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First Claim