US-20260124397-A1 - INTELLIGENT INJECTION DEVICE FOR INJECTION ANALYSIS AND REAL-TIME GUIDANCE

Abstract

A method, computer program product, and computer system for an intelligent injection device with technique analysis capabilities. The device may include a barrel in fluid communication with a needle, a piston including a plunger, a microprocessor, sensors for detecting injection parameters including: force measurement upon depression of plunger, depth measurement of needle penetration, angle measurement of the barrel relative to injection surface, a machine learning system trained on: injection device operation data, medical dosage administration data, patient outcome data, wherein the machine learning system is configured to: analyze injection technique in real-time, provide technique optimization recommendations, detect improper administration patterns, and provide patient recommendations.

Inventors

• Jeremy Corbett

Assignees

• DATADOSE, LLC.

Dates

Publication Date

20260507

Application Date

20250117

Claims (20)

1. 1 . An intelligent injection device with technique analysis capabilities, comprising: a barrel in fluid communication with a needle; a piston comprising a plunger; a microprocessor; a sensor for detecting an injection parameter including: force measurement upon depression of plunger; depth measurement of needle penetration; angle measurement of the barrel relative to injection surface; a machine learning system trained on: injection device operation data; medical dosage administration data; patient outcome data, wherein the machine learning system is configured to: analyze injection technique in real-time; provide technique optimization recommendations; detect improper administration patterns; and provide patient recommendations.
2. 2 . The intelligent injection device of claim 1 , wherein the force measurement includes dynamic pressure sensing.
3. 3 . The intelligent injection device of claim 1 further comprising injection duration monitoring.
4. 4 . The intelligent injection device of claim 1 further comprising injection speed monitoring.
5. 5 . The intelligent injection device of claim 1 , wherein patterns include tremor detection.
6. 6 . The intelligent injection device of claim 1 , wherein machine learning includes reinforcement learning algorithms.
7. 7 . The intelligent injection device of claim 1 , wherein recommendations include tissue targeting guidance.
8. 8 . The intelligent injection device of claim 1 , wherein optimization includes personalized patient profiles.
9. 9 . A system for intelligent injection technique optimization, comprising: an intelligent injection device having: injection parameter sensor; a wireless communication module; a microprocessor; a digital twin system configured to: model injection technique; simulate administration process; predict patient outcome; enable technique improvement; an artificial intelligence system trained to: analyze sensor fusion data; generate technique prediction; provide real-time user feedback; and recommend administration method to the user in real-time during the administration of a mediation using the intelligent injection device.
10. 10 . The system of claim 9 , wherein the digital twin system includes anatomical modeling.
11. 11 . The system of claim 9 , wherein technique predictions employ neural networks.
12. 12 . The system of claim 9 , wherein user feedback includes audio instructions.
13. 13 . The system of claim 9 , wherein simulation includes virtual reality training modules.
14. 14 . An injection technique analysis system, comprising: an intelligent injection device; a training system configured to: provide real-time technique guidance; demonstrate proper injection method; deliver educational content; recommend administration techniques to a user in real-time during the administration of a mediation using the intelligent injection device; a machine learning system trained to: detect administration pattern; identify technique improvement; predict administration outcome; optimize injection parameter, wherein the system uses sensor fusion to: analyze multiple data streams; generate technique recommendations; and improve medication administration accuracy.
15. 15 . The injection technique analysis system of claim 14 , wherein training includes augmented reality guidance.
16. 16 . The injection technique analysis system of claim 14 , wherein educational content includes video demonstrations.
17. 17 . The injection technique analysis system of claim 14 , wherein technique guidance includes real-time visual indicators.
18. 18 . The injection technique analysis system of claim 14 , wherein optimization includes injection angle adjustment.
19. 19 . The injection technique analysis system of claim 14 , wherein guidance includes pressure application recommendations.
20. 20 . The injection technique analysis system of claim 14 , wherein sensor fusion includes temperature monitoring technique analysis system of claim 14 , wherein sensor fusion includes temperature monitoring.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS This application claims the benefit of U.S. provisional application No. 63/715,505, filed on Nov. 1, 2024, which is hereby incorporated by reference in its 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 an intelligent injection device with technique analysis capabilities, including: a barrel in fluid communication with a needle; a piston including a plunger; a microprocessor; sensors for detecting injection parameters including: force measurement upon depression of plunger; depth measurement of needle penetration; angle measurement of the barrel relative to injection surface; a machine learning system trained on: injection device operation data; medical dosage administration data; patient outcome data, wherein the machine learning system is configured to: analyze injection technique in real-time; provide technique optimization recommendations; detect improper administration patterns; and provide patient recommendations. In some aspects, the techniques described herein relate to an intelligent injection device, wherein the force measurement includes dynamic pressure sensing. In some aspects, the techniques described herein relate to an intelligent injection device, further including injection duration monitoring. In some aspects, the techniques described herein relate to an intelligent injection device, further including injection speed monitoring. In some aspects, the techniques described herein relate to an intelligent injection device, wherein patterns include tremor detection. In some aspects, the techniques described herein relate to an intelligent injection device, wherein machine learning includes reinforcement learning algorithms. In some aspects, the techniques described herein relate to an intelligent injection device, wherein recommendations include tissue targeting guidance. In some aspects, the techniques described herein relate to an intelligent injection device, wherein optimization includes personalized patient profiles. In some aspects, the techniques described herein relate to a system for intelligent injection technique optimization, including: an intelligent injection device having: injection parameter sensors; a wireless communication module; a microprocessor; a digital twin system configured to: model injection techniques; simulate administration processes; predict patient outcomes; enable technique improvements; an artificial intelligence system trained to: analyze sensor fusion data; generate technique predictions; provide real-time user feedback; and recommend administration methods to the user in real-time during the administration of a mediation using the intelligent injection device. In some aspects, the techniques described herein relate to a system, wherein the digital twin system includes anatomical modeling. In some aspects, the techniques described herein relate to a system, wherein technique predictions employ neural networks. In some aspects, the techniques described herein relate to a system, wherein user feedback includes audio instructions. In some aspects, the techniques described herein relate to a system, wherein simulation includes virtual reality training modules. In some aspects, the techniques described herein relate to an injection technique analysis system, including: an intelligent injection device; a training system configured to: provide real-time technique guidance; demonstrate proper injection methods; deliver educational content; recommend administration techniques to a user in real-time during the administration of a mediation using the intelligent injection device; a machine learning system trained to: detect administration patterns; identify technique improvements; predict administration outcomes; optimize injection parameters, wherein the system uses sensor fusion to: analyze multiple data streams; generate technique recommendations; and improve medication administration accuracy. In some aspects, the techniques described herein relate to an injection technique analysis system, wherein training includes augmented reality guidance. In some aspects, the techniques described herein relate to an injection technique analysis system, wherein educational content includes video demonstrations. In some aspects, the