MULTIPLE RESOURCE PLANNING SYSTEM
First Claim
1. A system for generating an optimized assignment schedule for a future time period, the system comprising:
- a data module to provide data associated with previous radiological reading requests submitted by a plurality of medical facilities at a plurality of different locations;
a prediction generator to generate an optimized assignment schedule based upon die future time period, the prediction generator configured for;
identifying a volume of previous radiological reading requests associated with each location, the volume relating to a prior time period;
identifying a volume of future radiological reading requests expected to be received from the medical facilities during the future time period, the future time period being the same length as the prior time period;
identifying one or more assignment parameters selected from the group consisting of doctor work schedules, expected licensing approvals, expected credentialing approvals, medical facility preferences for certain doctors, doctor contract terms, doctor compensation metrics, historical doctor performance metrics, and additional medical facilities to be serviced during the future time period;
identifying, within the doctor work schedules, a list of scheduled doctors associated with the future time period;
identifying an optimized assignment schedule, including;
(a) assigning each of the volume of future radiological reading requests to one of the scheduled doctors; and
(b) creating a proposed assignment schedule based upon the assignments;
wherein identifying the optimized assignment schedule is repeated for a plurality of iterations, each iteration including a different combination of doctors and radiological reading requests.
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Accused Products
Abstract
A system for managing remote doctor medical request workflow may include a workflow module that optimizes assignments of medical requests to remote doctors based on parameterized doctor and scheduling information and may further include a forecasting module that predicts the hospital credentials, state licenses or doctors needed to fulfill a projected volume of future medical requests. In one embodiment, radiologists are parameterized and then matched with requests for radiological readings based on information extracted from DICOM image headers and merged with associated information contained in a medical work order. In this embodiment, the radiologists are parameterized based on their locations, schedules, hospital credentials, state licensing, compensation metrics, and performance metrics and incoming requests for review of CT scans and the like are filtered based on the parameterized radiologist information to identify one or more radiologists who are to fulfill the medical request.
102 Citations
14 Claims
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1. A system for generating an optimized assignment schedule for a future time period, the system comprising:
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a data module to provide data associated with previous radiological reading requests submitted by a plurality of medical facilities at a plurality of different locations; a prediction generator to generate an optimized assignment schedule based upon die future time period, the prediction generator configured for; identifying a volume of previous radiological reading requests associated with each location, the volume relating to a prior time period; identifying a volume of future radiological reading requests expected to be received from the medical facilities during the future time period, the future time period being the same length as the prior time period; identifying one or more assignment parameters selected from the group consisting of doctor work schedules, expected licensing approvals, expected credentialing approvals, medical facility preferences for certain doctors, doctor contract terms, doctor compensation metrics, historical doctor performance metrics, and additional medical facilities to be serviced during the future time period; identifying, within the doctor work schedules, a list of scheduled doctors associated with the future time period; identifying an optimized assignment schedule, including; (a) assigning each of the volume of future radiological reading requests to one of the scheduled doctors; and (b) creating a proposed assignment schedule based upon the assignments; wherein identifying the optimized assignment schedule is repeated for a plurality of iterations, each iteration including a different combination of doctors and radiological reading requests. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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Specification