US-20260124366-A1 - PHARMACY AND INTELLIGENT INJECTION DEVICE SYSTEMS INTEGRATION

US20260124366A1US 20260124366 A1US20260124366 A1US 20260124366A1US-20260124366-A1

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. A device may include a verification system configured to: verify a user of the intelligent injection device, validate proper medication administration using the intelligent injection device. A device may include a machine learning system trained to: detect a medication preparation error at the intelligent injection device, verify proper medication within the intelligent injection device, prevent a medication administration mistake, wherein the prevention is provided at least in part by locking the intelligent injection device upon detection of a medication preparation error at the intelligent injection device.

Inventors

Jeremy Corbett

Assignees

DATADOSE, LLC

Dates

Publication Date: 20260507
Application Date: 20250725

Claims (20)

1 . A pharmacy integration system for prior authorization verification, comprising: an intelligent injection device including: a barrel in fluid communication with a needle; a piston comprising a plunger; a microprocessor; a wireless communication module; a verification system configured to: verify a user associated with the intelligent injection device; validate a prior authorization for distribution of a medication to the user through the intelligent injection device using the wireless communication module; a machine learning system trained to: detect, by the microprocessor, an improper event in a usage history of the intelligent injection device based upon, at least in part, information associated with the piston and a pharmaceutical within the barrel of the intelligent injection device; generate an alert associated with the improper event in the usage history of the intelligent injection device; and wherein the intelligent injection device is configured to physically lock the intelligent injection device to prevent actuation of the piston and delivery of the medication to the user based upon, at least in part, the improper event.
2 . The pharmacy integration system of claim 1 , wherein the detection of the improper event causes a revocation of the prior authorization.
3 . The pharmacy integration system of claim 1 , wherein the detection of the improper event causes cancellation of a medication shipment.
4 . The pharmacy integration system of claim 1 , wherein the improper event in the usage history is a non-use of the intelligent injection device within a specified timeframe.
5 . The pharmacy integration system of claim 1 , wherein the improper event in the usage history is a temperature excursion detected in a medication.
6 . The pharmacy integration system of claim 1 , wherein the improper event in the usage history is an incorrect medication amount.
7 . The pharmacy integration system of claim 1 , wherein the improper event in the usage history is an incongruity between a medication dosage and a known prescription.
8 . The pharmacy integration system of claim 1 , wherein the improper event in the usage history is a contraindication between the medication and a second medication the user is prescribed.
9 . The pharmacy integration system of claim 1 , wherein the improper event in the usage history is a generic/name brand differentiation.
10 . The pharmacy integration system of claim 1 , wherein the improper event in the usage history is a mismatch between the medication and a formulary.
11 . The pharmacy integration system of claim 1 , wherein the improper event in the usage history is an improper medication dose administration using the intelligent injection device within a specified timeframe.
12 . The pharmacy integration system of claim 1 , wherein the improper event in the usage history is a detected incorrect shipment location for the intelligent injection device.
13 . The pharmacy integration system of claim 12 , wherein the detected incorrect shipment location is based at least in part on a confirmed shipment geolocation that does not conform to a recorded geolocation for an intended user of the intelligent injection device.
14 . The pharmacy integration system of claim 1 , wherein the improper event in the usage history is a delivery date of the intelligent injection device outside of a specified acceptable delivery timeframe.
15 . A method for detecting and canceling improper medication shipments using an intelligent dosing platform, comprising: receiving, by a server of the intelligent dosing platform, administration data from a wireless module associated with an intelligent injection device; storing a treatment schedule and medication shipment data in a database associated with the intelligent dosing platform; analyzing, by an artificial intelligence module of the intelligent dosing platform, the administration data received from the wireless module associated with the intelligent injection device and medication shipment data to detect an improper medication shipment based on at least one of a set of fraud indicators; generating, by the artificial intelligence module, a compliance score for the medication shipment based on at least one of conformance to predetermined shipment criteria and the administration data received from the wireless module associated with the intelligent injection device;—and automatically generating an electronic cancellation instruction that cancels the medication shipment when the compliance score for the medication shipment falls below a threshold metric indicating the improper medication shipment.
16 . The method of claim 15 , wherein the set of fraud indicators includes a medication expiration, medication cost analysis, insurance coverage analysis, dosage administration location information, recipient verification, absence of prior authorization, medical contraindication, or shipment date verification.
17 . The method of claim 15 further comprising detecting fraud, wherein detecting fraud comprises: training the artificial intelligence module on a fraud detection model of historical injection device data to identify fraudulent usage patterns; analyzing new administration data against the trained fraud detection model; and generating a fraud alert when a suspicious pattern is detected.
18 . The method of claim 15 , wherein detecting expired medication comprises: monitoring temperature data from at least one sensor in the intelligent injection device; analyzing the temperature data to detect if medication has been exposed to conditions outside an acceptable range; and tracking a medication expiration date in the database.
19 . The method of claim 15 , wherein verifying a proper recipient comprises: maintaining an authenticated patient profile in the database; validating recipient information against a prescribed treatment schedule; and generating an alert if a shipment recipient does not match an authorized patient profile.
20 . The method of claim 15 , wherein analyzing medication costs comprises: tracking historical pricing data in the database; comparing a current shipment cost against a predetermined cost threshold; and flagging an excessive cost variation for review.

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 pharmacy integration system for medication verification, including: an intelligent injection device having: a barrel in fluid communication with a needle; a piston including a plunger; a microprocessor; a wireless communication module; a verification system configured to: verify a user of the intelligent injection device; validate proper medication administration using the intelligent injection device; a machine learning system trained to: detect a medication preparation error at the intelligent injection device; verify proper medication within the intelligent injection device; prevent a medication administration mistake, wherein the prevention is provided at least in part by locking the intelligent injection device upon detection of a medication preparation error at the intelligent injection device. In some aspects, the techniques described herein relate to a system, wherein the verification system includes biometric verification capabilities for user authentication. In some aspects, the techniques described herein relate to a system, wherein the verification system includes two-factor authentication. In some aspects, the techniques described herein relate to a system, wherein the machine learning system includes sensor fusion capabilities to detect medication preparation errors. In some aspects, the techniques described herein relate to a system, wherein the intelligent injection device includes a temperature sensor to verify proper medication storage conditions. In some aspects, the techniques described herein relate to a system, wherein the intelligent injection device includes a load sensor to detect force measurements during medication administration. In some aspects, the techniques described herein relate to a system, wherein the intelligent injection device includes an amount sensor to verify proper medication dosage. In some aspects, the techniques described herein relate to a system, wherein the verification system includes timestamping capabilities for tracking preparation and administration events. In some aspects, the techniques described herein relate to a system, wherein the machine learning system includes neural network capabilities for error detection. In some aspects, the techniques described herein relate to a system, wherein the system includes EMR integration capabilities for medication verification. In some aspects, the techniques described herein relate to a system, wherein the locking mechanism engages with a stalk of the piston to prevent unauthorized administration. In some aspects, the techniques described herein relate to a medication preparation verification system, including: an intelligent injection device; a digital twin system configured to: model medication preparation for intelligent injection devices; simulate a medication administration process; validate a proper medication administration; prevent medication preparation error; a custody and supply chain management system configured to: track a medication securely; verify proper handling of the intelligent injection device; maintain a medication supply record; a machine learning system configured to: analyze medication preparation data; detect a potential medication administration error, based at least in part on the learning derived from the digital twin system simulation; verify medication accuracy; and verify proper medication administration using the intelligent injection device. In some aspects, the techniques described herein relate to a system, wherein the digital twin system includes role-based configurations for different user types. In some aspects, the techniques described herein relate to a system, wherein the digital twin system combines data from multiple sensors to model device features. In some aspects, the techniques described herein relate to a system, wherein the