Intelligent Analyte Monitoring System with AI, IoT, and Blockchain Integration

Publication ID: 24-11857350_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Analyte Monitoring System with AI, IoT, and Blockchain Integration,” Published Technical Disclosure No. 24-11857350_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857350_0003_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. 11,857,350.

Summary of the Inventive Concept

An advanced analyte monitoring system that integrates artificial intelligence, IoT, and blockchain technologies to provide real-time predictive models of future analyte concentrations, ensuring enhanced accuracy and security for users.

Background and Problem Solved

The original patent disclosed an analyte concentration alert function for an analyte sensor system, but it had limitations in terms of data analysis, security, and real-time monitoring capabilities. The new inventive concept addresses these limitations by incorporating AI, IoT, and blockchain technologies to provide a more comprehensive and secure system for analyte monitoring.

Detailed Description of the Inventive Concept

The system consists of an analyte sensor generating analyte data, an artificial intelligence module analyzing the data and generating predictive models of future analyte concentrations, and a blockchain-based secure data storage module for storing and sharing the analyte data and predictive models. Additionally, the system may include an IoT-enabled communication module transmitting the analyte data to a cloud-based server, and a server-side analytics module analyzing the data and generating real-time alerts for potential hypoglycemic events. The system can also integrate a wearable device with a MEMS-based accelerometer generating acceleration data, and a machine learning module analyzing the analyte data and acceleration data to predict future analyte concentrations and generate alerts.

Novelty and Inventive Step

The new claims introduce the novel integration of AI, IoT, and blockchain technologies with the original analyte sensor system, providing a synergistic combination that enhances the accuracy, security, and real-time monitoring capabilities of the system. The inventive step lies in the unexpected combination of these distinct technologies to create a more powerful and comprehensive system for analyte monitoring.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept may include the use of different AI algorithms, varying IoT communication protocols, or alternative blockchain architectures. Additionally, the system could be adapted for monitoring other types of analytes or integrating with other health-related devices.

Potential Commercial Applications and Market

The Intelligent Analyte Monitoring System has significant commercial potential in the healthcare industry, particularly in the diabetes management and wearable technology markets. The system's enhanced accuracy, security, and real-time monitoring capabilities make it an attractive solution for users seeking more effective and reliable analyte monitoring solutions.

CPC Classifications

SectionClassGroup
A A61 A61B5/746
A A61 A61B5/0002
A A61 A61B5/0004
A A61 A61B5/01
A A61 A61B5/1112
A A61 A61B5/1118
A A61 A61B5/145
A A61 A61B5/1459
A A61 A61B5/14532
A A61 A61B5/7282
A A61 A61B5/742
A A61 A61B5/7405
A A61 A61B5/7455
A A61 A61B5/0533
A A61 A61B5/14503
A A61 A61B5/6898
A A61 A61B5/7203
A A61 A61B2562/0219

Field of Art

Medical Device Technology, Specifically Diabetes Monitoring Systems, Involving Sensor Technologies, Data Analysis, and Wearable Health Monitoring Devices

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device technologist with expertise in sensor design, data analytics, machine learning, and healthcare IoT systems, holding advanced degrees in bioengineering or electrical engineering with 3-5 years of industry experience in medical monitoring technologies

Obviousness Rationale

A person having ordinary skill in the art would recognize that integrating artificial intelligence, IoT communication, and blockchain technologies into an existing analyte monitoring system represents a predictable combination of known techniques in medical device technology. The source patent's foundational work on analyte sensing and acceleration data analysis provides a clear technological framework that would naturally invite incremental improvements through emerging digital technologies. A PHOSITA would understand that enhancing sensor systems with AI predictive modeling and secure data transmission represents an expected evolutionary step in medical monitoring device development.

Obvious Combinations & Variations

Source Patent Element
Analyte sensor system with acceleration data generation
PTD Variation
Adding machine learning module to analyze acceleration and analyte data for predictive modeling
Obviousness Reasoning
Applying machine learning to sensor data is a known technique for extracting predictive insights, representing a straightforward design optimization with predictable results
Source Patent Element
Wearable transceiver with wireless communication capabilities
PTD Variation
Implementing IoT-enabled communication module for cloud-based data transmission
Obviousness Reasoning
Extending wireless communication to cloud platforms is a standard technological progression in medical device interconnectivity, involving no inventive complexity
Source Patent Element
Analyte concentration alert system
PTD Variation
Blockchain-based secure data storage and personalized analytics module
Obviousness Reasoning
Implementing enhanced data security and personalization represents an obvious improvement using standard cryptographic and data management techniques
Source Patent Element
Display device interface for generating activity information
PTD Variation
AI-driven predictive models generating real-time hypoglycemic event alerts
Obviousness Reasoning
Transforming activity data into predictive health alerts is a logical extension of existing alert generation technologies, involving standard algorithmic techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857350 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious and non-patentable. The incremental technological enhancements involving AI, IoT, and blockchain integration represent predictable combinations of known techniques in medical monitoring systems, thereby rendering subsequent claims obvious under 35 U.S.C. Section 103 standards.

Original Patent Information

Patent NumberUS 11,857,350
TitleAnalyte concentration alert function for analyte sensor system
Assignee(s)Senseonics, Incorporated