Granted Patent B1

US 11,321,652 · App. 16/729,410 · Granted May 3, 2022

Inventor: Khurram Mahmood (San Ramon, CA)

Assignee: VINETI INC.

G06Q10/06316G06N20/00G06Q50/28G16H20/10

Abstract

Claims (61)

1. A system comprising:

one or more processors; and

one or more storage devices comprising processor executable instructions that, responsive to execution by the one or more processors, cause the system to perform operations comprising:

receiving label identification data corresponding to a smart label device;

verifying whether the label identification data is valid or invalid;

assigning the label identification data to personal identification data representing a patient identifier,

curating a set of smart label data corresponding to a set of smart label devices;

applying one or more machine learning algorithms to the set of smart label data;

extracting insights from the set of smart label data based on the one or more machine learning algorithms;

tuning parameters of the one or more machine learning algorithms;

querying the set of curated smart label data for one or more insights; and

identifying one or more subsets of curated smart label data for a query analysis based on contextual parameters of a query, wherein the contextual parameters comprise at least one of a smart label device identifier, a geo-locational input, or authentication input.

2. The system of claim 1 , wherein the operations further comprise receiving current coordinates corresponding to a current location of the smart label device.

3. The system of claim 2 , wherein the operations further comprise:

comparing the current coordinates to boundary coordinates of an approved geo-locational boundary; and

determining whether the current coordinates are within the approved geo-locational boundary.

4. The system of claim 3 , wherein the operations further comprise:

triggering a transmission of secure media content to the smart label device based on a verification that the current coordinates are within the approved geo-locational boundary, wherein the secure media content is at least one of textual content, audio content, or video content.

5. The system of claim 3 , wherein the operations further comprise:

determining that the current coordinates are not within the approved geo-locational boundary;

removing secure media content from a display of the smart label device based on the determining that the current coordinates are not within the approved geo-locational boundary.

6. The system of claim 1 , wherein the operations further comprise:

generating a set of manufacturing activity data from a manufacturing device;

triggering a transmission of a subset of manufacturing activity data to the smart label device; and

rendering the subset of manufacturing activity data on a display of the smart label device.

7. The system of claim 3 , wherein the operations further comprise:

triggering a notification to a user device indicating the current location of the smart label device; and

prioritizing a biological material in a package queue for pickup or delivery based on the notification.

8. The system of claim 1 , wherein the operations further comprise accessing a set of chain of custody event data or chain of identity data corresponding to the smart label device on a distributed ledger.

9. The system of claim 3 , wherein the operations further comprise controlling the smart label device to render secure media content based on a set of label rules corresponding to a target facility associated with the approved geo-locational boundary.

10. A method, comprising:

receiving label identification data corresponding to a smart label device;

verifying whether the label identification data is valid or invalid;

assigning the label identification data to personal identification data representing a patient identifier,

curating a set of smart label data corresponding to a set of smart label devices;

applying one or more machine learning algorithms to the set of smart label data;

extracting insights from the set of smart label data based on the one or more machine learning algorithms;

tuning parameters of the one or more machine learning algorithms;

querying the set of curated smart label data for one or more insights; and

identifying one or more subsets of curated smart label data for a query analysis based on contextual parameters of a query, wherein the contextual parameters comprise at least one of a smart label device identifier, a geo-locational input, or authentication input.

11. The method of claim 10 , further comprising:

receiving current coordinates corresponding to a current location of the smart label device.

12. The method of claim 11 , further comprising:

comparing the current coordinates to boundary coordinates of an approved geo-locational boundary; and

determining whether the current coordinates are within the approved geo-locational boundary.

13. The method of claim 12 , further comprising:

triggering a transmission of secure media content to the smart label device based on a verification that the current coordinates are within the approved geo-locational boundary, wherein the secure media content is at least one of textual content, audio content, or video content.

14. The method of claim 12 , further comprising:

determining that the current coordinates are not within the approved geo-locational boundary;

removing secure media content from a display of the smart label device based on the determining that the current coordinates are not within the approved geo-locational boundary.

15. The method of claim 12 , further comprising:

triggering a notification to a user device indicating the current location of the smart label device; and

prioritizing a biological material in a package queue for pickup or delivery based on the notification.

16. The method of claim 12 , further comprising:

controlling the smart label device to render secure media content based on a set of label rules corresponding to a target facility associated with the approved geo-locational boundary.

17. The method of claim 10 , further comprising:

generating a set of manufacturing activity data from a manufacturing device;

triggering a transmission of a subset of manufacturing activity data to the smart label device; and

rendering the subset of manufacturing activity data on a display of the smart label device.

18. The method of claim 10 , further comprising:

accessing a set of chain of custody event data or chain of identity data corresponding to the smart label device on a distributed ledger.

Assignments (4)

Continuity (2)

Cited By (9)

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