Enhanced Automatic Detection of Un-Bolused Meals

Publication ID: 24-11857764_0001_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Automatic Detection of Un-Bolused Meals,” Published Technical Disclosure No. 24-11857764_0001_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857764_0001_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. 11,857,764.

Summary of the Inventive Concept

An advanced system and method for automatic detection of un-bolused meals, leveraging continuous glucose monitoring data and user input to provide timely reminders and personalized meal bolus recommendations, thereby improving diabetes therapy outcomes.

Background and Problem Solved

The original patent addressed the challenge of accurately detecting un-bolused meals in diabetes therapy. However, it had limitations in providing timely reminders and personalized meal bolus recommendations. The new inventive concept builds upon the original patent by incorporating advanced analytics and machine learning algorithms to enhance the detection of un-bolused meals and provide more effective reminders and recommendations.

Detailed Description of the Inventive Concept

The new inventive concept comprises a portable infusion pump, a continuous glucose monitoring system, and a mobile communication device. The system receives continuous glucose monitoring data and user input relating to an expected meal, analyzes the data to detect an un-bolused meal, and automatically generates a reminder to deliver a meal bolus or a personalized meal bolus recommendation in response to the detection. The system utilizes advanced analytics and machine learning algorithms to improve the accuracy of un-bolused meal detection and provide more effective reminders and recommendations.

Novelty and Inventive Step

The new claims introduce the concept of personalized meal bolus recommendations, which is not present in the original patent. Additionally, the use of advanced analytics and machine learning algorithms to enhance the detection of un-bolused meals and provide more effective reminders and recommendations is a novel and non-obvious improvement over the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating the system with other diabetes management tools, such as blood glucose meters or insulin dosing calculators. Variations of the system could include using different types of continuous glucose monitoring systems or incorporating additional data sources, such as physical activity or nutrition data, to improve the accuracy of un-bolused meal detection.

Potential Commercial Applications and Market

The new inventive concept has significant commercial potential in the diabetes management market, particularly among patients with type 1 and type 2 diabetes who require insulin therapy. The system's ability to provide timely reminders and personalized meal bolus recommendations could improve diabetes therapy outcomes and reduce the risk of hypoglycemic events.

CPC Classifications

SectionClassGroup
A A61 A61M5/1723
A A61 A61M5/14244
A A61 A61M5/1413
A A61 A61M2005/14208
A A61 A61M2005/14268
A A61 A61M2205/52

Field of Art

Medical device technology, specifically diabetes management systems involving portable infusion pumps, continuous glucose monitoring, and automated medication delivery interfaces

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with expertise in diabetes management technologies, familiar with continuous glucose monitoring systems, mobile health interfaces, and algorithmic approaches to medication management

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's variations represent predictable extensions of the source patent's core methodology of un-bolused meal detection, merely adding incremental improvements in personalization, machine learning, and user interface design that are well-understood in medical device technology

Obvious Combinations & Variations

Source Patent Element
Continuous glucose monitoring data comparison with meal timing thresholds
PTD Variation
Incorporating machine learning algorithms to refine threshold detection and generate personalized bolus recommendations
Obviousness Reasoning
Applying machine learning to medical monitoring is a known technique for improving predictive accuracy, representing an obvious optimization to existing detection methods
Source Patent Element
Basic un-bolused meal detection system
PTD Variation
Adding mobile communication device integration for delivering reminders and recommendations
Obviousness Reasoning
Extending medical device functionality through smartphone interfaces is a predictable design choice in modern medical technology
Source Patent Element
User input relating to expected meal timing
PTD Variation
Expanding input sources to include additional contextual data like physical activity or nutrition information
Obviousness Reasoning
Integrating multiple data sources for more comprehensive medical monitoring represents an obvious approach to improving diagnostic accuracy
Source Patent Element
Ambulatory infusion pump with CGM data processing
PTD Variation
Advanced analytics for generating personalized meal bolus recommendations
Obviousness Reasoning
Customizing medical device outputs based on individual patient data is a standard approach in precision medicine technologies
35 U.S.C. § 103 Summary: Based on US Patent 11857764, the present publication demonstrates that the claimed variations in un-bolused meal detection systems would have been obvious to a person having ordinary skill in the art at the time of invention, as the modifications represent predictable technological improvements using known techniques in continuous glucose monitoring and personalized medical device interfaces.

Original Patent Information

Patent NumberUS 11,857,764
TitleAutomatic detection of un-bolused meals
Assignee(s)Tandem Diabetes Care, Inc.