Predictive analytics and device tracking to facilitate minimization of alert events

Patent metadata

Field	Value
Publication number	US-11405264-B2
Application number	US-202016799234-A
Country	US
Kind code	B2
Filing date	Feb 24, 2020
Priority date	Feb 28, 2017
Publication date	Aug 2, 2022
Grant date	Aug 2, 2022

Abstract

Techniques for autonomously tracking and/or predicting an alert event are provided. In one example, a system can comprise a memory that stores computer executable components. The system can also comprise a processor, operably coupled to the memory, and that executes the computer executable components stored in the memory. The computer executable components can comprise a schedule component that determines plan information for a hub of a plurality of hubs, and the hub can be coupled to a device. The computer executable components can further comprise a tracking component that identifies a deviation from the plan information by the hub. Additionally, the computer executable components can comprise a prediction component that determines a probability that the deviation will result in an alert event.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
determining, by a system operatively coupled to a processor, schedule information for a hub of a plurality of hubs, wherein the schedule comprises an order in which a caregiver associated with the hub travels to one or more locations associated with the caregiver and a first entity to whom the caregiver provides care;
identifying, by the system, a deviation from the schedule information by the hub, wherein the deviation is a change in the order; and
transmitting, by the system, via direct electrical connection or via one or more networks, an alert signal based on the deviation and based on a determination that a signal strength of a connection between the hub and a device associated with the first entity is less than a defined strength threshold; and
causing a command to be generated at the hub in response to transmission of the alert signal, wherein the command is a notification, and the notification comprises information indicative of a location of the first entity, wherein the first entity is likely to be affected by the deviation and the caregiver is distinct from but associated with the first entity.

2. The computer-implemented method of claim 1 , further comprising:
receiving, by the system, information from a second hub of the plurality of hubs, wherein the information is generated employing blockchain technology and is indicative of a monitored status of a second device, wherein the second device is associated with the first entity; and
updating, by the system, to a second status of the second device and the second hub based on a change in the monitored status of the second device.

3. The computer-implemented method of claim 1 , wherein the notification is selected from a group consisting of a text message, a noise, an audio command, and a digital image.

4. The computer-implemented method of claim 1 , further comprising:
transmitting, by the system, the alert signal to the hub and a second hub based on determining that the second device has disconnected from the hub and has failed to connect to the second hub, wherein the alert signal causes notification to be generated at the hub and the second hub.

5. The computer-implemented method of claim 4 , further comprising:
causing a second command and a confirmation request to be generated at a second hub in response to transmission of the alert signal to the hub, wherein the second command is the notification and the confirmation request is a request for a second caregiver to transmit confirmation of receipt of the notification, wherein the second caregiver is associated with an intended location of the first entity based on the schedule.

6. The computer-implemented method of claim 1 , wherein the schedule information comprises a parameter selected from a group consisting of an event, a location, a date, and a time.

7. The computer-implemented of claim 1 , wherein the identifying the deviation comprises tracking of a location of the hub.

8. The computer-implemented method of claim 7 , wherein software is provided as a service in a cloud environment to perform the tracking of the location of the hub.

9. A system, comprising:
a memory that stores computer executable components;
a processor, operably coupled to the memory, and that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
a schedule component that determines first schedule information for a first hub of a plurality of hubs and second schedule information for a second hub of the plurality of hubs, wherein the first schedule information is associated with a preferred order of transit for a first caregiver relative to a first entity and a second entity, and wherein the second schedule information is associated with a second preferred order of transit for a second caregiver relative to the first entity and the second entity, and wherein the preferred order is distinct from the second preferred order;
a tracking component that identifies a deviation from the first schedule information by the hub or identifies a deviation from the second schedule information by the second hub; and
an alert component that transmits, via a direct electrical connection over one or more networks, an alert signal based on the deviation and comprising a notification being generated at the hub and the second hub based on a determination of a deviation relative to the first hub or the second hub, wherein the notification comprises a first entity location, wherein the first entity and the second entity are likely to be affected by the deviation and the first caregiver and the second caregiver are distinct from but associated with the first entity and the second entity, wherein the alert signal causes a notification to be generated that causes the hub and the second hub to verify a location of the first entity in response to a determination that a device associated with the first entity has changed status from connected to the first hub or the second hub to not connected to the first hub or the second hub, respectively.

10. The system of claim 9 , wherein the alert signal is indicative of an alert event wherein the device is more than a defined distance from the first hub or the second hub, and wherein the second entity is a caregiver of the first entity.

11. The system of claim 9 , wherein the alert signal identifies an alert event comprising disconnection of the device from the first hub or the second hub and failure of the second device to connect to another hub from the plurality of hubs, and wherein the alert component first sends the alert signal to first hub or the second hub communicatively coupled to the device and then sends the alert signal to additional hubs associated with the device in accordance with an authorized caregivers database in response to not receiving a confirmation receipt from the first hub or the second hub.

12. The system of claim 9 , wherein the computer executable components comprise:
an extraction component that extracts a social action from an information corpus, wherein the determination of the schedule information is based on the social action.

13. The system of claim 12 , wherein the information corpus is selected from a group consisting of a second text message and a website on the Internet.

14. The system of claim 9 , wherein the hub is selected from a group consisting of a smartphone, a personal computer or a tablet.

15. The system of claim 9 , wherein the second device is selected from a group consisting of a smartphone, a wearable device, smart eyewear or a smart watch.

16. The system of claim 9 , wherein the alert signal is indicative of an alert event wherein the second device is more than a defined distance from the first hub or the second hub.

17. A computer program product for tracking an alert event, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
determine schedule information for a first hub and a second hub of a plurality of hubs wherein the first hub and the second hub are associated with a same caregiver and a first device and a second device, respectively, of the same caregiver;
determine prioritization information for the first device and the second device, wherein the prioritization information is based on behavior of the caregiver relative to the first device and relative to the second device, wherein different priorities are associated with the first dev

Assignees

• IBM

Inventors

• Bar-Joshua Michael
• Goldberg Itzhack
• Monge Núñez Roxana
• Vukovic Maja

Classifications

• H04L41/147

  for predicting network behaviour · CPC title

• H04L41/0686 Primary

  Additional information in the notification, e.g. enhancement of specific meta-data · CPC title

• H04L41/0681

  Configuration of triggering conditions · CPC title

• H04L41/12

  Discovery or management of network topologies · CPC title