Patient Management System for Implantable Device Parameter Optimization
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Solution Overview
Problem
Current implantable medical device systems for neurostimulation face challenges in efficient data management and correlation of therapy parameters across patients, leading to tedious record-keeping, missed opportunities for improving therapy efficacy, and a lack of cross-patient correlation for optimal parameter determination.
Innovation Solution
A patient management system that acquires and analyzes data on therapy parameters and patient responses to determine optimal therapy settings, using a graphical user interface and statistical analysis to recommend parameter adjustments for improved treatment outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual record-keeping and chart review methods are used for therapy management, then physicians can assess patient progress and adjust therapy parameters, but the process becomes tedious and time-consuming with increased risk of missed opportunities for improving therapy efficacy
Solution Approach 1:
The patent introduces an external device as an intermediary between the implantable medical device and the physician. This external device automatically retrieves therapy parameter data and patient response data from the implanted device, processes the data to identify trends and correlations, and presents analyzed results to the physician. This intermediary system eliminates the need for manual chart review while providing comprehensive therapy management insights, thereby reducing time loss without compromising reliability.
Solution Approach 2:
The patent replaces the mechanical manual process of record-keeping and chart review with an automated electronic system. The external device automatically queries the implantable medical device for therapy parameters and patient responses, stores data in memory, and performs computational analysis to identify trends. This substitution of manual mechanical processes with automated electronic data retrieval and processing significantly reduces the time required for therapy management while improving the reliability of therapy efficacy assessment.
2Adaptability or versatility
If therapy parameters are determined independently for each patient without cross-patient correlation, then individualized treatment can be provided, but opportunities for optimizing parameters based on collective patient data are missed
Solution Approach 1:
The patent merges individual patient data with collective patient population data. The external device not only retrieves and analyzes data from a single patient's implantable medical device but also accesses and integrates data from multiple other patients treated with similar devices. This merging of individual and population-level data allows the system to identify cross-patient correlations and trends while maintaining individualized treatment customization, thereby preventing loss of valuable correlation information.
Solution Approach 2:
The external device performs multiple functions: it serves as an individual patient's therapy management tool while simultaneously functioning as a population-level data aggregation and analysis system. The device can operate in individual mode for personalized therapy adjustment and in collective mode to identify cross-patient correlations. This multi-functionality allows the system to maintain adaptability for individualized treatment while capturing and utilizing cross-patient correlation data for optimized parameter determination.
3Measurement precision
If comprehensive patient data and therapy parameter data are collected and correlated across multiple patients, then optimal therapy parameters can be identified through statistical analysis, but the complexity of data management and analysis increases
Solution Approach 1:
The external device performs self-service data management by automatically retrieving therapy parameter data and patient response data from implantable medical devices, storing the data in its memory, and conducting statistical analysis without requiring manual data entry or complex external processing systems. The device independently identifies trends and correlations across patient populations, thereby achieving precise therapy parameter optimization while managing data complexity through automated self-service operations.
Data Source
AI summary
A method, system, graphical user interface, and apparatus are provided for performing a patient management function providing parameter data for delivering a therapeutic signal. A first electrical signal comprising a first therapy parameter is applied to a portion of a patient's body for providing a therapy. At least one patient parameter relating to an effect of applying the first electrical signal is acquired. A second therapy parameter for defining a second electrical signal to provide a therapy is determined in response to the patient parameter. The second therapy parameter is displayed on an external device. An input signal for defining the second electrical signal is received. The input signal includes a signal indicative of the whether the second therapy parameter was accepted or not.