Physician Feedback Loop for Implantable Device Algorithm Tuning
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Solution Overview
Problem
Current implantable medical devices (IMDs) lack an efficient method for physician feedback integration to improve algorithm accuracy and patient data analysis, leading to potential false positives or false negatives in monitoring patient conditions.
Innovation Solution
A system and method that enables physician labels and feedback to modify analysis results, using standardized interfaces like XML, to verify accuracy and improve analysis performance by incorporating patient compliance data and independent assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated analysis algorithms are used to monitor patient conditions, then productivity and efficiency are improved, but measurement precision and reliability deteriorate due to false positives or false negatives
Solution Approach 1:
The patent implements a feedback mechanism where physician assessments of algorithm results are fed back to automatically adjust analysis parameters. The system presents algorithm-generated results to physicians, receives their assessments (correct/incorrect, true positive/false positive/false negative), and uses this feedback to automatically modify analysis parameters such as sensitivity, specificity, and detection thresholds, thereby improving measurement precision while maintaining automated productivity
Solution Approach 2:
The system automatically changes analysis parameters based on physician feedback. When physicians assess algorithm results, the system modifies parameters including sensitivity, specificity, detection thresholds, and analysis criteria to optimize future algorithm performance, resolving the contradiction between automated efficiency and measurement accuracy
2Device complexity
If automated analysis with fixed parameters is used, then device complexity is reduced, but adaptability deteriorates because the system cannot adjust to improve accuracy based on physician feedback
Solution Approach 1:
The system performs self-adjustment of analysis parameters automatically based on physician feedback without requiring manual reconfiguration. The algorithm autonomously modifies its own parameters (sensitivity, specificity, thresholds) in response to physician assessments, maintaining simplicity while enabling adaptability
Solution Approach 2:
The patent transforms the static analysis parameters into dynamic ones that automatically adjust based on feedback. The system transitions from fixed parameters to adaptable parameters that evolve with physician input, allowing the same simple system to become increasingly adaptive over time
Data Source
AI summary
This document discusses, among other things, systems and methods to enable physician labels on a remote server and use labels to verify and improve algorithm results. A method comprises using patient data in an automated analysis to obtain a result; receiving a message from the user, wherein the message is related to the result; and using at least a portion of the message to automatically modify the analysis.