Multifactorical, machine-learning based prioritization framework for optimizing patient placement
AssigneeGE Precision Healthcare LLC
InventorsSavanoor Rai, Bex George Thomas, Andrew Day
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AssigneeGE Precision Healthcare LLC
InventorsSavanoor Rai, Bex George Thomas, Andrew Day
Estimating the term…
Techniques are described that employ a multifactorial, machine-learning based system and prioritization framework for optimizing patient placement to beds at a medical facility. In one embodiment, a computer-implemented is provided that comprises receiving, by a system operatively coupled to a processor, a patient placement request requesting placement of a patient to a hospital bed of the healthcare facility, wherein the request is associated with information identifying a medical service for the patient and a bed type. The method further comprises, selecting, by the system, a placement prioritization model from a set of placement prioritization models based on the medical service and the bed type, and employing, by the system, the prioritization model and state information regarding a current state of the healthcare facility to determine a prioritization score reflective of a priority level of the patient placement request.
A system for prioritizing patient placements at a healthcare facility, comprising:
A method, comprising:
A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
Dependencies are inferred from the claim text.