US 12,327,208 B2
Systems and methods for improved interruption and resumption management
James Gualtieri, Glenshaw, PA (US); Ann Trumble, Mequon, WI (US); Sean P. O'Connor, San Francisco, CA (US); and Audrey Clarke, Chicago, IL (US)
Assigned to General Electric Company, Schenectady, NY (US)
Filed by GE Precision Healthcare LLC, Wauwatosa, WI (US)
Filed on Sep. 30, 2021, as Appl. No. 17/490,398.
Prior Publication US 2023/0101589 A1, Mar. 30, 2023
Int. Cl. G06Q 10/0631 (2023.01); G06F 18/25 (2023.01); G06Q 10/0633 (2023.01)
CPC G06Q 10/06316 (2013.01) [G06F 18/256 (2023.01); G06Q 10/063114 (2013.01); G06Q 10/0633 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A communication engine embodied on a non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the device to:
monitor a task state of a user;
receive an incoming matter;
analyze the incoming matter with a classification model, wherein the classification model comprises a trained neural network;
compare the analyzed incoming matter with a priority of the task state of the user; and
interrupt the user by providing the incoming matter to the user if a priority of the analyzed incoming matter is greater than the priority of the task state of the user, and providing the incoming matter to a second user if the priority of the analyzed incoming matter is lower than the priority of the task state of the user, wherein the providing the incoming matter to the user comprises appending additional information based on output from the trained neural network;
obtain sensor data indicating a pattern of user activity that identifies inputs into the electronic device from the user that co-occur, wherein the sensor data comprises machine data from an eye tracking sensor, a camera, a microphone, or a combination thereof, the sensor data representing a user's interaction with the electronic device, wherein the sensor data is obtained via a system bus connecting the eye tracking sensor, the camera, and the microphone to the one or more processors; and
provide refocus output, based on the pattern of user activity identified using the sensor data, to a display screen of a computing device by executing a ready to resume process, wherein the refocus output comprises data to be provided to the user via the display screen of the computing device, wherein the refocus output is generated using computer executable instructions that perform artificial intelligence analysis using a saved context and the sensor data, an interruption type, and an escalation of the task state of the user in response to a patient status.