System and method to monitor, alert and predict precursory behavior
OwnerJo Lynn J. Clemensinventor
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Abstract
A multi-stack software solution including artificial intelligence and blockchain to reduce employer liability and insurer risk is disclosed. Through ongoing and real-time assessment, the system curbs employer negligence through crime or fraud deterrence, re-enforcement of policies, obtaining information to assist in prevention, and providing continual recommendations for improvement.
Claims18
A method to monitor, alert and predict precursory behavior, comprising the steps of:
- determining a source of information specific to occupational behaviors;
- obtaining from one or more of the determined sources, a plurality of predetermined factors associated with an organization and at least one employee of that organization;
- and
- generating a risk score associated with the at least one employee and separately for the organization based on its employee's occupational behaviors.
A method to monitor, alert and predict precursory behavior, comprising the steps of:
- determining a source of information specific to occupational behaviors;
- obtaining from one or more of the determined sources, a plurality of predetermined factors associated with an organization and at least one employee of that organization;
- generating a risk score associated with the organization based on its employee's occupational behaviors;
- continuously updating the predetermined factors obtained from one or more of the determined sources;
- analyzing the plurality of factors obtained from one or more of the determined sources;
- producing updated prediction models for recommendations;
- and
- generating recommendations to the organization for improving the risk score and reinforcing compliance.
A method to monitor, alert and predict precursory behavior, comprising the steps of:
- determining a source of information specific to occupational behaviors;
- obtaining from one or more of the determined sources, a plurality of predetermined factors associated with an organization and at least one employee of that organization;
- generating a risk score associated with the at least one employee;
- providing, by the employee, additional sources of information for improvement of the employee's risk score;
- continuously updating the predetermined factors obtained from one or more of the determined sources;
- producing updated prediction models for recommendations;
- generating recommendations to the employee for improving the risk score and reinforcing compliance;
- and
- permission-based sharing of the employee's risk score through encryption or smart contracts.
Dependencies are inferred from the claim text.