Published Technical Disclosure Archive

Intelligent Medicament Dispenser Attachment for Personalized Health Management

Publication ID: 24-11857720_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Medicament Dispenser Attachment for Personalized Health Management,” Published Technical Disclosure No. 24-11857720_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857720_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. 11,857,720.

Summary of the Inventive Concept

An innovative medicament dispenser attachment leveraging AI, machine learning, and sensor technologies to provide personalized health management, medication adherence, and chronic disease monitoring.

Background and Problem Solved

The original patent, 'Usage monitoring attachment for medicament dispenser', addressed the need for monitoring medication usage. However, it had limitations in terms of data analysis, personalization, and predictive capabilities. The new inventive concept builds upon the original idea, introducing advanced technologies to revolutionize medication management and patient care.

Detailed Description of the Inventive Concept

The inventive concept comprises a wearable device or attachment with an integrated acceleration sensor, machine learning module, and sensor suite. It detects anomalous usage patterns, analyzes usage data using deep learning algorithms, and generates personalized recommendations for patients and healthcare providers. The system includes a cloud-based analytics platform, personalized feedback module, and user interface for real-time feedback. The attachment can predict medication adherence, optimize medication dosing, and provide actionable insights for chronic disease management.

Novelty and Inventive Step

The new claims introduce significant advancements in AI-powered medication management, machine learning-based predictive modeling, and personalized health management. These innovations provide a paradigm shift in the field, making the original inventive concept obsolete.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the attachment with other healthcare devices, such as blood glucose monitors or fitness trackers. Variations could include using different sensor types, such as environmental sensors or biometric sensors, to enhance the system's capabilities.

Potential Commercial Applications and Market

The inventive concept has vast commercial potential in the healthcare industry, particularly in chronic disease management, medication adherence, and personalized health management. Target markets include pharmaceutical companies, healthcare providers, and patients with chronic conditions.

CPC Classifications

SectionClassGroup
A A61 A61M15/008
A A61 A61M15/00
A A61 A61M15/0021
G G16 G16H20/13
G G16 G16H40/67
A A61 A61M15/009
A A61 A61M15/0048
A A61 A61M2202/064
A A61 A61M2205/332
A A61 A61M2205/3303
A A61 A61M2205/3375
A A61 A61M2205/3553
A A61 A61M2205/3592
A A61 A61M2205/50
A A61 A61M2205/52
A A61 A61M2205/581
A A61 A61M2205/583
A A61 A61M2205/8206

Field of Art

Medical device technology, specifically medication monitoring systems, encompassing sensor-based usage tracking, wireless communication, and health management technologies with expertise in medical device design, sensor integration, and digital health platforms

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced knowledge of sensor technologies, wireless communication protocols, machine learning applications in healthcare, and experience developing patient monitoring systems

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and cloud-based analytics into a medication monitoring attachment represents a predictable technological evolution of the source patent's core monitoring concept. The fundamental tracking mechanism remains consistent, with the primary innovation being the application of advanced data processing and personalized feedback technologies. These extensions represent natural technological progressions enabled by advances in artificial intelligence and data analytics platforms.

Obvious Combinations & Variations

Source Patent Element
Acceleration sensor for detecting medication dispenser usage
PTD Variation
Machine learning module analyzing sensor data to detect anomalous usage patterns
Obviousness Reasoning
Applying machine learning to sensor data is a known technique for extracting advanced insights, representing a predictable application of existing sensor technologies with standard computational methods
Source Patent Element
Wireless transceiver for data transmission in medication monitoring device
PTD Variation
Cloud-based analytics platform for processing and storing usage data
Obviousness Reasoning
Extending wireless communication to cloud-based data processing is a standard technological progression in medical device design, representing an obvious enhancement to existing data transmission capabilities
Source Patent Element
Output device for providing usage detection signals
PTD Variation
Personalized feedback module generating actionable health recommendations
Obviousness Reasoning
Transforming basic signal output into contextual health recommendations represents a logical extension of existing notification technologies, utilizing known machine learning techniques to provide more sophisticated user interactions
Source Patent Element
Medication dispenser attachment with sensor suite
PTD Variation
Integration with additional healthcare devices like blood glucose monitors and fitness trackers
Obviousness Reasoning
Cross-device integration is a predictable design choice in medical technology, representing a finite set of obvious combinations for expanding monitoring capabilities
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857720 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed innovations obvious, as they represent predictable technological extensions utilizing standard machine learning, sensor integration, and data processing techniques commonly known in medical device design. The proposed variations constitute obvious combinations that would be readily conceived by a skilled practitioner without requiring inventive insight.

Original Patent Information

Patent NumberUS 11,857,720
TitleUsage monitoring attachment for medicament dispenser
Assignee(s)Reciprocal Labs Corporation