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AI DRIVEN ANESTHETIC PLANNING, MANAGEMENT AND CASE SCHEDULING TOOL FOR ANESTHESIOLOGISTS, RESIDENT PHYSICIANS, SURGEONS, PROCEDURALISTS, MID-LEVEL PROVIDERS AND OPERATING ROOM MANAGERS (AISCHPLAN)
AI DRIVEN ANESTHETIC PLANNING, MANAGEMENT AND CASE SCHEDULING TOOL FOR ANESTHESIOLOGISTS, RESIDENT PHYSICIANS, SURGEONS, PROCEDURALISTS, MID-LEVEL PROVIDERS AND OPERATING ROOM MANAGERS (AISCHPLAN)
In an embodiment, a method includes accessing, by a processor configured within a device, a central system that provides trained data and crowd-sourced data to be used to schedule a plurality of medical services and treatment options. A module is configured to receive the trained data and crowd-sourced data from the central system, and pass the trained data and crowd-sourced data to an application, and provide predictive capabilities to the application based on the trained data and the crowd-sourced data. The processor uses the application to provide scheduling intervals for a series of medical services and treatments at one or more medical stations in real-time. Another device is connected to the first device, wherein the other device is configured to access the application and identify the scheduling intervals, and request updates and changes to the scheduling intervals in real-time.
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