Granted Patent B2

US 12,409,269 · App. 19/031,862 · Granted Sep 9, 2025

Inventors: Jeremy Corbett (Lexington, KY); John Spencer (Lexington, KY); Nathaniel Mitchell (Nicholasville, KY)

Assignee: DATADOSE, LLC

A61M5/172G16H20/17A61M5/20A61M2205/3553A61M2205/50

Abstract

Claims (58)

1. A cloud-based medication tracking system, comprising:

a plurality of intelligent injection devices across multiple healthcare facilities,

each having:

a barrel in fluid communication with a needle;

a piston comprising a plunger;

a microprocessor coupled to one or more sensors of the respective intelligent injection devices, the microprocessor configured to report data associated with the respective intelligent injection devices;

a wireless communication module configured to transmit the data associated with the respective intelligent injection devices to a supply chain tracking system;

the supply chain tracking system configured to receive, via the wireless communication module, the data associated with the plurality of intelligent injection devices, the supply chain tracking system further configured to process the data to:

monitor distribution of an injectable medication from the plurality of intelligent injection devices;

verify availability of the injectable medication from at least one of the plurality of intelligent injection devices and the supply chain tracking system;

track a global medication delivery pattern relating to the injectable medication from the plurality of intelligent injection devices;

a machine learning system trained to process the data associated with the respective intelligent injection devices to:

analyze medication usage data from the plurality of intelligent injection devices across healthcare entities;

predict a supply chain event from the plurality of intelligent injection devices;

optimize an inventory level from the plurality of intelligent injection devices; and

improve a distribution datum from the plurality of intelligent injection devices.

2. The cloud-based medication tracking system of claim 1 , wherein the supply chain tracking system employs blockchain verification.

3. The cloud-based medication tracking system of claim 1 further comprising a predictive analytics dashboard.

4. The cloud-based medication tracking system of claim 1 , wherein a digital twin system provides real-time simulation capabilities.

5. The cloud-based medication tracking system of claim 1 , wherein machine learning includes deep learning neural networks.

6. The cloud-based medication tracking system of claim 1 , wherein verification includes expiration date tracking.

7. The cloud-based medication tracking system of claim 1 , wherein patterns include geographic distribution analysis.

8. The cloud-based medication tracking system of claim 1 further comprising real-time shortage alerts.

9. The cloud-based medication tracking system of claim 1 , wherein analysis includes demographic usage patterns.

10. A networked medication usage analysis system, comprising:

multiple intelligent injection devices across a plurality of healthcare entities, each respective intelligent injection device coupled to a microprocessor, one or more sensors, and a wireless communication module, the microprocessor configured to report data, measured by the one or more sensors, associated with each respective intelligent injection devices, the wireless communication module configured to send the data to a digital twin system;

the digital twin system configured to:

model a medication usage pattern based upon the data from the multiple intelligent injection devices;

simulate a supply chain process based upon at least one of the data from the multiple intelligent injection devices and a custody and supply chain management system;

predict an inventory event based upon the data from the multiple intelligent injection devices;

enable coordinated distribution action across at least two healthcare entities among the plurality of healthcare entities based upon at least one of the data from the multiple intelligent injection devices and the custody and supply chain management system;

wherein a machine learning system associated with the multiple intelligent injection devices is configured to:

analyze global medication administration data based upon the data from the multiple intelligent injection devices;

detect a usage trend based upon the data from the multiple intelligent injection devices;

forecast a demand based upon the data from the multiple intelligent injection devices;

the custody and supply chain management system associated with the multiple intelligent injection devices configured to:

track a medication delivery based upon at least one of the data from the multiple intelligent injection devices and the custody and supply chain management system;

monitor an inventory level based upon at least one of the data from the multiple intelligent injection devices and the custody and supply chain management system;

detect a supply chain error based upon at least one of the data from the multiple intelligent injection devices and the custody and supply chain management system; and

detect a fraud event relating to the medication delivery based upon at least one of the data from the multiple intelligent injection devices and the custody and supply chain management system.

11. The networked medication usage analysis system of claim 10 , wherein simulation includes disaster response scenarios.

12. The networked medication usage analysis system of claim 10 , wherein fraud detection includes pattern recognition algorithms.

13. The networked medication usage analysis system of claim 10 , wherein the digital twin system includes multi-facility inventory optimization.

14. A medication supply chain optimization system, comprising:

networked intelligent injection devices across facilities, each respective networked intelligent injection device coupled to a microprocessor, one or more sensors, and a wireless communication module, the microprocessor configured to report data, measured by the one or more sensors, associated with each respective networked intelligent injection devices, the wireless communication module configured to send the data to a transaction intelligence system;

the transaction intelligence system configured to:

verify supply chain supply of a medication based upon at least one of the data from the networked intelligent injection devices and a supply chain tracking system;

provide financial prediction relating to the supply chain supply of the medication based upon at least one of the data from the networked intelligent injection devices and the supply chain tracking system;

an artificial intelligence system trained to:

analyze a medication usage pattern based upon the data from the networked intelligent injection devices;

predict a regional demand for the medication based upon the data from the networked intelligent injection devices; and

optimize a planned distribution of the medication based at least in part on the predicted demand.

15. The medication supply chain optimization system of claim 14 , wherein the artificial intelligence system employs natural language processing.

16. The medication supply chain optimization system of claim 14 further comprising automated compliance documentation.

17. The medication supply chain optimization system of claim 14 further comprising regulatory compliance verification.

18. The medication supply chain optimization system of claim 14 wherein prediction includes market dynamics analysis.

19. The medication supply chain optimization system of claim 14 further comprising seasonal demand forecasting.

20. The medication supply chain optimization system of claim 14 further comprising automated supplier communication protocols.

Assignments (1)

Continuity (7)

References Cited (65)