US-20260124369-A1 - SCHEDULING AND INTELLIGENT INJECTION DEVICE SYSTEMS INTEGRATION

Abstract

A device may include a barrel in fluid communication with a needle. A device may include a piston comprising a plunger. A device may include a microprocessor. A device may include a wireless communication module, wherein the microprocessor is configured to. A device may include communicate between the intelligent injection devices to coordinate medication timing. A device may include verify no conflicting medications are planned for administration. A device may include transmit administration data to at least one external entity. A device may include prevent concurrent administration of incompatible medications. A device may include a digital twin system configured to: model medication interactions, simulate administration workflows, predict potential medication conflicts; and enable coordinated medication delivery across the intelligent injection devices.

Inventors

• Jeremy Corbett

Assignees

• DATADOSE, LLC

Dates

Publication Date

20260507

Application Date

20250725

Claims (20)

1. 1 . A networked medication administration system, comprising: a plurality of intelligent injection devices, each having: a barrel in fluid communication with a needle; a piston comprising a plunger; a microprocessor; a wireless communication module; wherein the microprocessor is configured to: communicate between the intelligent injection devices to coordinate medication timing; verify no conflicting medications are planned for administration; transmit administration data to at least one external entity; prevent concurrent administration of incompatible medications; a digital twin system configured to: model medication interactions; simulate administration workflows; predict potential medication conflicts; and enable coordinated medication delivery across the intelligent injection devices.
2. 2 . The system of claim 1 , wherein the digital twin system includes role-based configurations for different medication administrators.
3. 3 . The system of claim 1 , wherein the digital twin system combines data from multiple sensors to model device interactions.
4. 4 . The system of claim 1 , wherein the digital twin system includes an embedded AI chatbot for medication guidance.
5. 5 . The system of claim 1 , wherein the system includes environmental monitoring capabilities for medication storage conditions.
6. 6 . The system of claim 1 , wherein the system includes temperature sensors to verify proper medication conditions.
7. 7 . The system of claim 1 , wherein the system includes automated planning capabilities for coordinated administration.
8. 8 . The system of claim 1 , wherein the digital twin system includes outcome analysis capabilities.
9. 9 . The system of claim 1 , wherein the system includes quality standards monitoring for medication administration.
10. 10 . The system of claim 1 , wherein the system includes EMR integration capabilities.
11. 11 . The system of claim 1 , wherein the system includes risk management functionality for medication interactions.
12. 12 . A system for coordinated medication administration, comprising: a plurality of intelligent injection devices configured to: communicate device-to-device among the multiple intelligent injection devices; share medication verification data; coordinate injection timing; prevent adverse drug interactions by inactivating at least one of the multiple intelligent injection devices upon detection of a medication conflict; an intelligent virtual care assistant configured to: monitor all connected devices among the plurality of intelligent injection devices; coordinate a medication schedule; alert to a potential medication conflict among the plurality of intelligent injection devices; ensure proper medication administration timing using at least one of the multiple intelligent injection devices; a machine learning system trained to: detect medication incompatibilities; optimize an administration schedule; predict a potential adverse event; and recommend a corrective action.
13. 13 . The system of claim 12 , wherein the intelligent virtual care assistant includes natural language processing capabilities.
14. 14 . The system of claim 12 , wherein the machine learning system includes neural network capabilities for conflict detection.
15. 15 . The system of claim 12 , wherein the system includes generative AI capabilities for schedule optimization.
16. 16 . The system of claim 12 , wherein the system includes real-time monitoring capabilities.
17. 17 . The system of claim 12 , wherein the machine learning system includes sensor fusion capabilities.
18. 18 . The system of claim 12 , wherein the system includes automated planning capabilities for medication scheduling.
19. 19 . The system of claim 12 , wherein the system includes mobile application integration.
20. 20 . A medication error prevention system, comprising: networked intelligent injection devices; a continuity of care system configured to: track medication administrations using the networked intelligent injection devices; verify drug compatibility; prevent administration of concurrent incompatible doses; maintain medication administration records; a security/blockchain system configured to: record device interactions among the networked intelligent injection devices; verify medication safety protocols; document medication administration timing using the networked intelligent injection devices; prevent an unauthorized modification to the networked intelligent injection devices; wherein the system is configured to: enable real-time device coordination; prevent adverse drug interactions; optimize medication timing; and verify safe medication delivery among the networked intelligent injection devices.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS This application is a continuation of U.S. patent application Ser. No. 19/031,862, filed on Jan. 18, 2025, which is a continuation of U.S. patent application Ser. No. 19/030,829, filed on Jan. 17, 2025, which claims the benefit of U.S. provisional application no. 63/715,505, filed on Nov. 1, 2024, which are hereby incorporated by reference in their entirety. FIELD The present disclosure relates generally to a management platform for injection devices, such as syringes, and, more particularly, to data reporting regarding administration completion of an injectable pharmaceutical. BACKGROUND Understanding administration of drugs and their interaction in the healthcare ecosystem are important in delivering beneficial patient care. Applicant appreciates that regular pharmaceutical therapy and a need for real time data management related to both timing of and compliance in dosing bundled with increased information sharing across the care continuum can provide valuable insight for improving care and, in turn, reducing fraud, waste, and abuse. SUMMARY In some aspects, the techniques described herein relate to a networked medication administration system, including: a plurality of intelligent injection devices, each having: a barrel in fluid communication with a needle; a piston including a plunger; a microprocessor; a wireless communication module; wherein the microprocessor is configured to: communicate between the intelligent injection devices to coordinate medication timing; verify no conflicting medications are planned for administration; transmit administration data to at least one external entity; prevent concurrent administration of incompatible medications; a digital twin system configured to: model medication interactions; simulate administration workflows; predict potential medication conflicts; and enable coordinated medication delivery across the intelligent injection devices. In some aspects, the techniques described herein relate to a system, wherein the digital twin system includes role-based configurations for different medication administrators. In some aspects, the techniques described herein relate to a system, wherein the digital twin system combines data from multiple sensors to model device interactions. In some aspects, the techniques described herein relate to a system, wherein the digital twin system includes an embedded AI chatbot for medication guidance. In some aspects, the techniques described herein relate to a system, wherein the system includes environmental monitoring capabilities for medication storage conditions. In some aspects, the techniques described herein relate to a system, wherein the system includes temperature sensors to verify proper medication conditions. In some aspects, the techniques described herein relate to a system, wherein the system includes automated planning capabilities for coordinated administration. In some aspects, the techniques described herein relate to a system, wherein the digital twin system includes outcome analysis capabilities. In some aspects, the techniques described herein relate to a system, wherein the system includes quality standards monitoring for medication administration. In some aspects, the techniques described herein relate to a system, wherein the system includes EMR integration capabilities. In some aspects, the techniques described herein relate to a system, wherein the system includes risk management functionality for medication interactions. In some aspects, the techniques described herein relate to a system for coordinated medication administration, including: a plurality of intelligent injection devices configured to: communicate device-to-device among the multiple intelligent injection devices; share medication verification data; coordinate injection timing; prevent adverse drug interactions by inactivating at least one of the multiple intelligent injection devices upon detection of a medication conflict; an intelligent virtual care assistant configured to: monitor all connected devices among the plurality of intelligent injection devices; coordinate a medication schedule; alert to a potential medication conflict among the plurality of intelligent injection devices; ensure proper medication administration timing using at least one of the multiple intelligent injection devices; a machine learning system trained to: detect medication incompatibilities; optimize an administration schedule; predict a potential adverse event; and recommend a corrective action. In some aspects, the techniques described herein relate to a system, wherein the intelligent virtual care assistant includes natural language processing capabilities. In some aspects, the techniques described herein relate to a system, wherein the machine learning system includes neural network capabilities for conflict detection. In some aspects, the techniques described herein relate to a system, wherein the system includes generati