Heart Failure Analyzer for Rehospitalization Risk Management
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Solution Overview
Problem
Heart failure patients experience high rates of rehospitalization due to inadequate management of hospitalization and premature discharge, leading to significant economic burden and health risks.
Innovation Solution
A hospitalization management system that includes sensors, a sensor processing circuit, and a heart failure analyzer to assess risk of rehospitalization by analyzing physiological signals and providing a risk class parameter, enabling timely and consistent management during and after hospitalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional hospitalization management is used for heart failure patients, then standard care procedures are followed, but rehospitalization rates remain high due to premature discharge and insufficient monitoring
Solution Approach 1:
The management system is segmented into distinct functional modules: sensor processing circuit for data acquisition, heart failure analyzer for risk assessment, and discharge planning module for intervention. This segmentation allows each component to specialize in specific tasks, improving overall reliability while managing complexity through modular design.
Solution Approach 2:
The system enables self-service through automated risk assessment algorithms that continuously analyze sensor data and generate discharge recommendations without requiring constant physician intervention. The automated monitoring and alert systems allow the device to serve itself in detecting deterioration patterns, reducing the burden on healthcare providers while maintaining high reliability.
2Reliability
If automated risk assessment systems are implemented, then rehospitalization risk is reduced through better monitoring, but system complexity and cost increase
Solution Approach 1:
The heart failure analyzer is designed with multi-functionality, serving as both a risk assessment engine and a discharge planning tool. The same processing circuit that monitors physiological parameters also generates clinical recommendations, eliminating the need for separate specialized systems and reducing overall complexity while maintaining high monitoring accuracy.
Solution Approach 2:
The system implements continuous feedback loops where sensor data is processed, risk assessments are updated in real-time, and discharge recommendations are adjusted based on changing patient status. This feedback mechanism allows the system to maintain high reliability through adaptive monitoring without requiring proportionally increased complexity, as the same hardware dynamically adjusts its analysis based on incoming data patterns.
Data Source
AI summary
A hospitalization management system including a heart failure analyzer that receives diagnostic data including at least sensor data representative of one or more physiological signals sensed from a hospitalized patient using one or more sensors and assesses risk of rehospitalization for the patient using the diagnostic data. The outcome of the risk assessment is used during and following the patient's hospitalization for reducing the risk of rehospitalization.