US-20260124376-A1 - WEARABLE DEVICE AND INTELLIGENT INJECTION DEVICE SYSTEMS AND METHODS INTEGRATION
Abstract
Methods and systems are disclosed for integrating wearable devices within an intelligent injection device platform. A device may include an intelligent injection device with wireless communication capabilities. A device may include a smartphone application configured to interface with the intelligent injection device. A device may include at least one wearable device. A device may include a server configured to receive administration data from the intelligent injection device and measurement data from the wearable device. A device may include an artificial intelligence module configured to analyze the measurement data and determine injection authorization based on a predetermined health parameter, wherein the smartphone application provides user interface control for an injection authorization process based on the artificial intelligence module analysis.
Inventors
- Jeremy Corbett
Assignees
- DATADOSE, LLC
Dates
- Publication Date
- 20260507
- Application Date
- 20250829
Claims (20)
- 1 . An intelligent injection management system comprising: an intelligent injection device with wireless communication capabilities; a smartphone application configured to interface with the intelligent injection device; at least one wearable device; a server configured to receive administration data from the intelligent injection device and measurement data from the wearable device; an artificial intelligence module configured to analyze the measurement data and determine injection authorization based on a predetermined health parameter, wherein the smartphone application provides user interface control for an injection authorization process based on the artificial intelligence module analysis.
- 2 . The system of claim 1 , wherein the wearable device is a physiological monitor.
- 3 . The system of claim 1 , wherein the wearable device is a smart watch.
- 4 . The system of claim 1 , wherein the wearable device is smart eyeglasses.
- 5 . The intelligent injection management system of claim 1 , wherein the system further comprises an injectable administration compliance management platform for real-time monitoring and management of adherence to an injectable administration plan that receives data collected by the wearable device.
- 6 . The intelligent injection management system of claim 1 , wherein the artificial intelligence module is configured to calculate a compliance score for an injection event based at least in part on a conformance of the administration data to at least one criterion of a treatment schedule.
- 7 . The intelligent injection management system of claim 1 , wherein the artificial intelligence module comprises a generative AI system configured to generate a data story related to the intelligent injection device or to an instance of medical dosage administration.
- 8 . The intelligent injection management system of claim 1 , wherein the artificial intelligence module is configured to improve differences between supply and demand of a set of intelligent injection devices across a set of locations and times.
- 9 . An intelligent injection management system comprising: an intelligent injection device having a reporting component; a network of connected wearable devices configured to continuously monitor a user’s physiological parameter; a cloud-based management platform configured to receive data from both the intelligent injection device and the wearable device; a machine learning system trained to predict optimal injection timing and dosage based on the continuously monitored physiological parameter, wherein the intelligent injection device is configured to automatically unlock and permit injection only when the machine learning system determines that current physiological parameter indicates a preferred administration condition.
- 10 . The intelligent injection management system of claim 9 , wherein the cloud-based management platform comprises an injectable administration compliance management platform for real-time monitoring and management of adherence to an injectable administration plan that receives data collected by the network of connected wearable devices.
- 11 . The intelligent injection management system of claim 9 , wherein the machine learning system uses sensor fusion to generate a prediction related to the intelligent injection device.
- 12 . The intelligent injection management system of claim 9 , wherein the cloud-based management platform further comprises a digital twin that combines data from a plurality of sensors to model at least one feature of the intelligent injection device to inform a prediction relating to one or more of its status, condition, operation, utilization or maintenance.
- 13 . The intelligent injection management system of claim 9 , wherein the machine learning system is configured to calculate a compliance score for an injection event based at least in part on a conformance of administration data to at least one criterion of a treatment schedule.
- 14 . The intelligent injection management system of claim 9 , wherein the machine learning system comprises a generative AI system configured to generate a data story related to an instance of medical dosage administration.
- 15 . The intelligent injection management system of claim 9 , wherein the cloud-based management platform further comprises a set of digital twins that digitally represent a set of parameters of a set of workflows involved in at least one of a prescription, delivery, administration or reporting of a medication dosage, wherein the digital twin has an embedded AI chatbot expert trained to interact with a user to provide information about the intelligent injection device or medical dosage administration.
- 16 . A method of managing pharmaceutical injection using multiple connected devices comprising: establishing wireless communication between an intelligent injection device, a smartphone application, and at least one wearable device; collecting measurement data from the wearable device; transmitting the measurement data to a server configured to receive administration data; analyzing, by an artificial intelligence module, the measurement data to determine an injection authorization based on a predetermined health parameter; communicating the injection authorization determination to the smartphone application; providing, via the smartphone application, user interface control for an injection authorization process; and controlling injection authorization at the intelligent injection device based on the artificial intelligence module analysis.
- 17 . The method of claim 16 , wherein analyzing the measurement data comprises using sensor fusion to generate a prediction related to an instance of medical dosage administration.
- 18 . The method of claim 16 , further comprising implementing a digital twin that models at least one feature of the intelligent injection device based on a combination of data streamed from a plurality of sensors of the intelligent injection device or a medical dosage administration environment.
- 19 . The method of claim 16 , wherein the artificial intelligence module is trained on a training data set of medical dosages administration data to output at least one of a prediction, a classification, a recommendation, an analytic result, a report or a control instruction and uses sensor fusion to classify an instance of medical dosage administration.
- 20 . The method of claim 16 , wherein the intelligent injection device comprises a microprocessor in electronic communication with a damage detection system for detecting damage to the device.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS This application is a continuation-in-part of U.S. patent application no. 19/281,005, filed on July 25, 2025, which is a continuation of U.S. patent application no. 19/031,862, filed on January 18, 2025, which is a continuation of U.S. patent application no. 19/030,829, filed on January 17, 2025, which claims the benefit of U.S. provisional application no. 63/715,505, filed on November 1, 2024, which are all 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 an intelligent injection management system including: an intelligent injection device with wireless communication capabilities; a smartphone application configured to interface with the intelligent injection device; at least one wearable device; a server configured to receive administration data from the intelligent injection device and measurement data from the wearable device; an artificial intelligence module configured to analyze the measurement data and determine injection authorization based on a predetermined health parameter, wherein the smartphone application provides user interface control for an injection authorization process based on the artificial intelligence module analysis. In some aspects, the techniques described herein relate to a system, wherein the wearable device is a physiological monitor. In some aspects, the techniques described herein relate to a system, wherein the wearable device is a smart watch. In some aspects, the techniques described herein relate to a system, wherein the wearable device is smart eyeglasses. In some aspects, the techniques described herein relate to an intelligent injection management system, wherein the system further includes an injectable administration compliance management platform for real-time monitoring and management of adherence to an injectable administration plan that receives data collected by the wearable device. In some aspects, the techniques described herein relate to an intelligent injection management system, wherein the artificial intelligence module is configured to calculate a compliance score for an injection event based at least in part on a conformance of the administration data to at least one criterion of a treatment schedule. In some aspects, the techniques described herein relate to an intelligent injection management system, wherein the artificial intelligence module includes a generative AI system configured to generate a data story related to the intelligent injection device or to an instance of medical dosage administration. In some aspects, the techniques described herein relate to an intelligent injection management system, wherein the artificial intelligence module is configured to improve differences between supply and demand of a set of intelligent injection devices across a set of locations and times. In some aspects, the techniques described herein relate to an intelligent injection management system including: an intelligent injection device having a reporting component; a network of connected wearable devices configured to continuously monitor a user's physiological parameter; a cloud-based management platform configured to receive data from both the intelligent injection device and the wearable device; a machine learning system trained to predict optimal injection timing and dosage based on the continuously monitored physiological parameter, wherein the intelligent injection device is configured to automatically unlock and permit injection only when the machine learning system determines that current physiological parameter indicates a preferred administration condition. In some aspects, the techniques described herein relate to an intelligent injection management system, wherein the cloud-based management platform includes an injectable administration compliance management platform for real-time monitoring and management of adherence to an injectable administration plan that receives data collected by the network of connected wearable devices. In some aspects, the techniques described herein relate to an intelligent injection management system, wherein the machine learning system uses sensor fusion to generate a prediction related to the intelligent injection device. In some a