摘要:
Snapshot data may be received indicative of a current state of resources that deliver healthcare to a plurality of patients associated with a healthcare enterprise. The received snapshot data may be automatically used to initialize a healthcare enterprise simulation model. The healthcare enterprise simulation model may then be executed to automatically generate a predicted future state of the resources at a predetermined point in time. Some embodiments may automatically suggest mitigation strategies based on simulated scenarios reflecting potential bottlenecks and appropriate actions that may be taken by the enterprise. The system may continuously and automatically monitor forecast accuracy to detect potential anomalies.
摘要:
According to some embodiments, first current resource data indicative of a current state of first resources that are used to deliver healthcare to a plurality of patients associated with a first healthcare enterprise is continuously and automatically received. The first current resource data may be automatically used to update a healthcare enterprise simulation model. The healthcare enterprise simulation model may automatically generate a predicted future state of the first resources, wherein the predicted future state of the first resources is based at least in part on second resource data indicative of a state of second resources that are used to deliver healthcare to a plurality of patients associated with a second healthcare enterprise remote from and networked with the first healthcare enterprise.
摘要:
Current resource data may be continuously and automatically received indicative of a current state of resources that are used to deliver healthcare to a plurality of patients associated with a healthcare enterprise. The current resource data may be automatically used to update a healthcare enterprise simulation model. The healthcare enterprise simulation model may be executed to automatically generate a predicted future state of the resources. A resource request may then be received, and a resource assignment engine may automatically assign a particular resource to the resource request based at least in part on the predicted future state of the resources.