Care Management System with Risk Analyzer for Home Monitoring
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Solution Overview
Problem
At-home care for individuals requiring managed care often lacks effective monitoring, as lay caregivers may not recognize medically significant events, and expert caregivers have limited access, leading to potential negative outcomes and increased costs.
Innovation Solution
A care management system that guides lay caregivers through regular activities and questionnaires, integrates input from professionals, and uses a risk analyzer to calculate domain-specific and overall risk scores, providing recommendations for improving care while allowing greater independence and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If at-home care is provided by lay caregivers, then client independence is improved and costs are reduced, but the ability to recognize medically significant events deteriorates
Solution Approach 1:
The patent introduces a care management system as an intermediary between lay caregivers and medical professionals. The system includes a database of medically significant events, automated monitoring devices, and a platform that aggregates and analyzes care data. This intermediary enables lay caregivers to provide independent care while the system ensures medical events are reliably detected and communicated to experts.
Solution Approach 2:
The system implements continuous feedback loops where care data is collected, analyzed, and used to generate alerts or recommendations. The feedback mechanism provides real-time or near-real-time information to both caregivers and medical professionals, enabling timely intervention while maintaining client independence in the home setting.
2Reliability
If expert caregivers are provided for at-home care, then medical event recognition is improved, but access availability deteriorates and costs increase
Solution Approach 1:
The patent segments the care delivery model into distinct functional components: automated monitoring devices for continuous observation, a care management system for data aggregation and analysis, alert generation for critical events, and expert consultation on demand. This segmentation allows routine monitoring to be automated while experts focus only on complex decision-making, improving both availability and cost-effectiveness.
Solution Approach 2:
The system enables self-service through automated monitoring devices that continuously track client conditions without requiring constant expert presence. The system automatically detects medically significant events, manages care data, and initiates alerts, freeing experts from routine monitoring tasks while maintaining high availability and reliability.
3Reliability
If comprehensive monitoring is implemented, then care quality is improved, but system complexity increases
Solution Approach 1:
The care management system is designed as a universal platform that performs multiple functions: data collection from various sources, storage in a standardized database, analysis against medical criteria, alert generation, and communication with stakeholders. This multi-functional design consolidates complexity into a single integrated system rather than requiring separate complex systems for each function.
Solution Approach 2:
The system uses standardized data models and templates that can be replicated across different clients and settings. The database structure, monitoring protocols, and alert criteria are designed as reusable templates, reducing the complexity of implementing comprehensive monitoring for each individual case while maintaining high care quality through consistent standards.
Data Source
AI summary
A care management system for improving the care of a client who is supported by a caregiver is described. The caregiver may participate in regular activities with the client and record these activities in the care management system. The care management system may present the caregiver with questions on a regular basis. Information may also be input into the system by a care management team made up of professionals responsible for the client's overall care. A risk analyzer may determine the client's risk for different risk conditions, and may calculate domain-specific and overall risk scores for the client. Furthermore, the risk analyzer may make recommendations for actions to be taken by the client, the caregiver, or the care management team in order to improve the client's care. The information in the care management system may be used by the care management team to direct aspects of the client's care.