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

Claim 10:
11. 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 an individual 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 related to a plurality of patients,
wherein said workload data includes data representing one or more working conditions experienced by an individual providing healthcare services to said plurality of patients,

saving said workload data to a workload profile having said workload data,
wherein said workload profile is associated with a professional profile of said individual,
wherein said professional profile comprises at least one threshold limit corresponding to said workload data and near miss 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 individual can endure before being subject to an increased risk for committing a medical related error,

retrieving said workload data from said workload profile,
retrieving said at least one threshold limit of said professional profile associated with said workload profile,
determining a risk level using said workload data and said at least one threshold limit,
wherein said risk level represents an extent to which said individual is subject to said increased risk for committing said medical related error,
wherein said risk level is updated as said workload data is received by said processor from a scanning device operably connected thereto,
wherein said scanning device is configured to scan barcodes associated with said plurality of patients, wherein said barcodes contain said workload data, and

generating at least one displayable indicia for display in said user interface using said risk level.