Readmission Risk Quotient Generation Using Sensor Networks
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Solution Overview
Problem
Preventable hospital readmissions pose a significant financial burden, with hospitals facing fines and increased costs due to inadequate discharge procedures and follow-up care, leading to billions of dollars in annual losses, particularly in the U.S. healthcare system.
Innovation Solution
A system and method for readmissions monitoring utilizing a sensor network to determine readmission risk indicators, processing past and present data to generate a readmissions risk quotient, which includes a processor and memory executing instructions to analyze sensor measurements and data, providing a platform for hospitals and insurers to assess and mitigate readmission risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hospitals implement comprehensive discharge procedures and follow-up care, then readmission rates decrease, but operational costs and complexity increase
Solution Approach 1:
The patent transforms the complex multidimensional discharge process into a simplified risk score parameter. By changing multiple quality parameters (discharge planning, follow-up coordination, patient education) into a single composite readmission risk score, the system maintains comprehensive care standards while enabling straightforward measurement and comparison across facilities
Solution Approach 2:
The readmission risk score acts as an intermediary metric between comprehensive discharge procedures and observable readmission outcomes. This mediator allows hospitals to track and improve discharge quality through a simplified proxy measure that correlates with actual readmission rates without requiring direct measurement of all discharge process elements
2Reliability
If hospitals increase monitoring and follow-up resources, then readmission rates decrease, but financial costs increase
Solution Approach 1:
The patent implements a feedback mechanism where readmission risk scores are calculated and published for hospital comparison. This external feedback creates competitive pressure and incentive structures that motivate hospitals to improve discharge procedures and allocate resources more efficiently, achieving readmission reduction without proportionally increasing costs
Solution Approach 2:
The system identifies and targets specific high-risk discharge scenarios for intensified monitoring and intervention rather than applying uniform comprehensive monitoring to all patients. By concentrating resources on partial cases with highest readmission risk, the system achieves effective readmission prevention while avoiding excessive resource allocation across the entire patient population
3Ease of operation
If simplified risk metrics are used, then ease of operation increases, but measurement precision decreases
Solution Approach 1:
The patent merges multiple discrete discharge quality indicators (discharge planning adequacy, follow-up arrangement, patient education, medication reconciliation) into a single integrated readmission risk score. This combination maintains the comprehensiveness of multidimensional assessment while providing the operational simplicity of a unified metric for comparison and decision-making
Data Source
AI summary
A system and method for readmissions monitoring. A sensor network is established for one or more facilities. Readmission risk indicators are determined for analysis utilize readmission data and sensor measurements measured by the sensor network. Readmissions risk analysis is performed utilizing the readmission data and the sensor measurements. Past and present readmissions data and sensor measurements are processed to determine a readmission risk quotient for one or more patients of the one or more facilities.