Dynamic Glucose Report Generation via Metadata-Driven Module Selection
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Solution Overview
Problem
Diabetic individuals face challenges in timely and accurate monitoring of blood glucose levels due to discomfort with traditional finger-pricking methods, leading to delayed detection of hyperglycemic or hypoglycemic conditions, and existing continuous glucose monitoring systems lack effective data processing for timely intervention.
Innovation Solution
A system and method for dynamic report generation using a processor to select and present glucose concentration data based on metadata, including device type, glycemic state, and user preferences, generating reports that visually highlight glucose levels within or outside predetermined target ranges, facilitating timely user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional finger-pricking SMBG methods are used, then the device complexity is low, but the measurement frequency is insufficient and timely detection is delayed
Solution Approach 1:
The patent replaces the mechanical finger-pricking SMBG method with an implantable electrochemical sensor that continuously measures glucose levels in interstitial fluid. This substitution enables continuous real-time monitoring without repeated mechanical punctures, significantly improving detection speed and timeliness while providing actionable glucose data.
Solution Approach 2:
The patent introduces an intermediary processing system that includes a receiver device, processor, and memory to capture, store, and analyze raw glucose data from the implantable sensor. This intermediary layer processes the continuous data stream, generates clinically relevant reports, and presents information in a user-friendly format, making the complex continuous monitoring system manageable and actionable for patients and providers.
2Measurement precision
If continuous glucose monitoring data is collected continuously, then the measurement precision and timeliness improve, but the quantity of data generated increases significantly
Solution Approach 1:
The patent extracts only the most clinically relevant information from the continuous glucose data stream to create focused reports. Instead of presenting all raw data points, the system identifies and highlights key events such as hyperglycemic episodes, hypoglycemic episodes, and trends that require clinical attention, reducing data overload while maintaining measurement precision.
Solution Approach 2:
The patent segments continuous glucose data into meaningful clinical categories and time-based reports. The processing system divides the continuous data stream into discrete reportable events and time intervals, organizing information by clinical significance and time period, making large volumes of data manageable and actionable for patients and healthcare providers.
3Measurement precision
If raw glucose data is transmitted to remote devices, then the measurement capability is improved, but the ease of operation and user comprehension deteriorates
Solution Approach 1:
The patent creates simplified visual representations and summaries of the raw glucose data through processed reports. The system generates user-friendly visual displays, trend graphs, and key metric summaries that copy the essential information from raw data in an easily comprehensible format, maintaining measurement accuracy while dramatically improving ease of operation and user understanding.
Solution Approach 2:
The patent transforms raw glucose concentration values into clinically meaningful parameters and visual presentations. The processing system converts numerical data into trend directions, alert conditions, time-in-range metrics, and visual graphs with color-coded zones, changing the parameter representation from raw numbers to intuitive clinical indicators that are easier for users to comprehend and act upon.
Data Source
AI summary
Methods and apparatus, including computer program products, are provided for processing analyte data. In some exemplary embodiments, there is provided a method. The method may include selecting at least one module from among a plurality of modules, the selection performed based on metadata including one or more of the following rules: whether the at least one module can be used with a type of device, whether the at least one module can be used with a glycemic state of a host, and whether the at least one module can be used with an expected volume of data generated by the type of device; and generating a report including the selected at least one module configured to present information representative of the glucose concentration level measured in the host. Related systems, methods, and articles of manufacture are also disclosed.