Patient Management System for Multi-Source Health Data Integration
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Solution Overview
Problem
Current advanced patient management systems face challenges in accurately reporting and interpreting multiple health-related parameters from both implanted medical devices and external sources, as they often fail to provide a comprehensive and accurate indication of a patient's overall health condition due to the influence of various factors.
Innovation Solution
A system that acquires, trends, and communicates multiple health-related parameters from both internal and external sources, including implanted medical devices and user inputs, to provide a comprehensive view of a patient's health condition, using a programmable device with modules for parameter acquisition, event detection, and alert communication, enabling clinicians to assess and treat health conditions effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple health-related parameters from various sources are integrated and reported, then the comprehensiveness of patient health assessment is improved, but the complexity of data processing and interpretation increases
Solution Approach 1:
The patent segments the complex health data into distinct categories (IMD-sensed data, external source data, contextual factors) and processes each category separately through dedicated modules. This segmentation allows the system to maintain comprehensive data collection while managing complexity through structured organization of data streams and processing pathways.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives raw data from multiple sources, applies contextual adjustments, and generates refined health assessments. This intermediary layer acts as a mediator between raw multi-source data and final clinical interpretations, reducing the complexity burden on clinicians while preserving comprehensive information.
2Device complexity
If sensed data from IMD is used alone to indicate patient health, then the simplicity of data collection is maintained, but the accuracy of health indication deteriorates due to influencing factors
Solution Approach 1:
The patent applies local quality adjustments by identifying specific contextual factors that influence IMD-sensed data and applying targeted corrections or adjustments to those specific data points. Rather than uniformly processing all data, the system applies context-specific modifications where needed to improve accuracy while maintaining overall system simplicity.
Solution Approach 2:
The patent implements feedback mechanisms where external data sources and contextual information are used to validate and adjust IMD-sensed data. This feedback loop allows the system to maintain simple data collection from the implantable device while improving accuracy through continuous verification and adjustment based on additional information sources.
3Measurement precision
If patient data from external sources is added to IMD data, then the accuracy of overall health indication is improved, but the complexity of data management compounds
Solution Approach 1:
The patent creates a universal data management framework that handles multiple data sources (IMD data, external source data, contextual information) through a single integrated system architecture. This multi-functional approach allows the same processing modules to handle different data types and sources, improving accuracy through comprehensive data integration while avoiding the need for separate management systems for each data source.
Data Source
AI summary
Systems, devices and methods for reporting multiple health-related parameters are disclosed. One aspect is a programmable device having machine executable instructions for performing a method to report multiple parameters related to a health condition of a patient. In various embodiments, a number of trended health-related parameters, a number of predetermined events corresponding to the number of trended health-related parameters, and a number of alerts associated with the predetermined events are acquired. The number of trended health-related parameters, the number of predetermined events, and the number of alerts are communicated in a manner suitable for use in determining the health condition of the patient. Other aspects and embodiments are provided herein.