Patent ID: 11929164
Assignee: UNIVERSITY OF SOUTH ALABAMA
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A non-transitory computer-readable medium coupled to a processor and having instructions stored thereon, which, when executed by said processor, cause said processor to manage patient load of a group of individuals by executing steps comprising:
receiving workload data from a computing device,
wherein a user interface of said computing device is configured to receive workload data of an individual within a group of individuals,
wherein said group of individuals provide healthcare services to said plurality of patients,

saving said workload data to a workload profile of said individual,
wherein each workload profile of a plurality of workload profiles is associated with a specific individual within said group of individuals,
wherein said workload data of said plurality of workload profiles of said group of individuals represents one or more working conditions created by said plurality of patients,

retrieving said workload data of said plurality of workload profiles of said group of individuals,
wherein each workload profile of said plurality of workload profiles is associated with a professional profile of a plurality of professional profiles,
wherein each said professional profile of said plurality of professional profiles comprises at least one threshold limit corresponding to said workload data,
wherein said at least one threshold limit represents a quantitative threshold corresponding to an amount of said one or more working conditions that said specific individual can endure before being subject to an increased risk for committing a medical related error,

combining said at least one threshold limit of said plurality of workload profiles to create at least one group threshold limit,
wherein said at least one group threshold limit represents said quantitative threshold corresponding to said amount of said one or more working conditions that said group of individuals can endure before being subject to said increased risk for committing said medical related error,

determining a risk level for said group of individuals using said workload data of said group of individuals and said at least one group threshold limit,
wherein said risk level represents an extent to which said group of individuals is subject to said increased risk for committing said medical related error, and

generating at least one displayable indicia for display on said user interface based on said risk level,
wherein said at least one displayable indicia signifies a risk level said group of individuals has of committing said medical related error.