Personalized Medication Delivery and Management System

Publication ID: 24-11857770_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized Medication Delivery and Management System,” Published Technical Disclosure No. 24-11857770_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857770_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,770.

Summary of the Inventive Concept

A next-generation medication delivery system that integrates AI, wearable technology, and blockchain to optimize medication adherence, efficacy, and safety.

Background and Problem Solved

The original patent relates to a medication delivery device with a sensed element used in dose detection. However, it has limitations in terms of user experience, data analysis, and security. The present inventive concept addresses these limitations by introducing a personalized medication delivery and management system that leverages advanced technologies to improve patient outcomes.

Detailed Description of the Inventive Concept

The system comprises a self-learning AI module that adapts to a user's injection habits and optimizes dose detection based on machine learning algorithms. A wearable device tracks injection events and communicates with a cloud-based analytics platform to provide personalized feedback and alerts. The system also integrates a neural network that predicts medication efficacy using data from the medication delivery device, electronic health records, and genomic profiles. Furthermore, the system includes a medication delivery device with an integrated biosensor that detects biomarkers in real-time, enabling personalized dosing and treatment optimization. The cloud-based platform utilizes blockchain technology to ensure secure and transparent data exchange between patients, healthcare providers, and pharmaceutical companies.

Novelty and Inventive Step

The new claims introduce a paradigm shift in medication delivery and management by integrating AI, wearable technology, and blockchain. The self-learning AI module, wearable device, and cloud-based analytics platform are novel and non-obvious compared to the original patent. The use of blockchain technology for secure data exchange is also a new and inventive step.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include different AI algorithms, wearable device designs, and blockchain protocols. Variations could also include integration with other healthcare systems, such as electronic health records or telemedicine platforms.

Potential Commercial Applications and Market

The personalized medication delivery and management system has significant commercial potential in the pharmaceutical, healthcare, and technology industries. The system could be marketed to pharmaceutical companies, healthcare providers, and patients, offering improved medication adherence, efficacy, and safety.

Field of Art

Medical device engineering, specifically medication delivery systems and injection technologies, with expertise in sensor integration, dose detection, and electronic health monitoring

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degree, 3-5 years experience in medical device development, familiar with sensor technologies, data integration, and healthcare software platforms

Obviousness Rationale

A PHOSITA would recognize that the source patent's foundational medication delivery device provides a natural technological progression toward intelligent, data-driven healthcare solutions. The PTD's AI-enhanced, blockchain-integrated system represents predictable technological evolution by applying known software and sensor technologies to an existing medical device framework. The core mechanical principles of dose detection remain consistent, with added layers of digital intelligence that would be considered an obvious enhancement by a skilled practitioner.

Obvious Combinations & Variations

Source Patent Element
Medication delivery device with dose detection system and annular sensed element
PTD Variation
Integration of AI module to optimize dose detection through machine learning algorithms
Obviousness Reasoning
Applying machine learning to sensor-based systems is a known technique in medical device engineering, representing a predictable technological improvement with expected results of enhanced precision
Source Patent Element
Device body with rotatable dose setting component
PTD Variation
Wearable device tracking injection events and communicating with cloud-based analytics platform
Obviousness Reasoning
Extending mechanical injection devices to include digital tracking is an obvious design choice driven by the trend of connected healthcare technologies
Source Patent Element
Sensed element for detecting dose parameters
PTD Variation
Integrated biosensor detecting real-time biomarkers for personalized dosing
Obviousness Reasoning
Expanding sensor capabilities from mechanical dose detection to biochemical monitoring represents a logical and foreseeable technological progression
Source Patent Element
Medication delivery device with electronic components
PTD Variation
Blockchain-based secure data exchange platform for healthcare information
Obviousness Reasoning
Implementing secure data transmission protocols is a standard engineering approach when expanding electronic medical device capabilities
Source Patent Element
Dose detection system with electronic tracking
PTD Variation
Neural network predicting medication efficacy by integrating device data with electronic health records
Obviousness Reasoning
Correlating medical device data with broader health information is an obvious extension of existing data integration practices in healthcare technology
35 U.S.C. § 103 Summary: Based on US Patent 11857770's foundational medication delivery device teachings, the present publication demonstrates that the claimed innovations represent obvious technological extensions employing standard engineering practices. A person having ordinary skill in medical device design would readily conceive of integrating AI, blockchain, and advanced sensor technologies into existing injection device frameworks, thereby rendering subsequent claims of novelty non-patentable under standard obviousness criteria.

Original Patent Information

Patent NumberUS 11,857,770
TitleMedication delivery device with a sensed element
Assignee(s)Eli Lilly and Company