Trusted Third Party Validation for Remote Monitoring Data
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Solution Overview
Problem
Insurance companies face challenges in accurately validating whether policyholders are receiving remote monitoring services, leading to incorrect premium discounts and benefits, as policyholders often cancel services without updating the insurance company, and there is a need for a secure system to verify service usage without sharing customer data.
Innovation Solution
An automated validation system that uses an application server, a trusted third party, and a business logic computer to verify if policyholders are receiving remote monitoring services, determining insurance policy adjustments, and notifying policyholders of changes, while maintaining data privacy through a communication interface and sensor data collection system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the insurance company requests validation information from the service provider, then the accuracy of policy adjustment is improved, but the customer data privacy is compromised
Solution Approach 1:
A trusted third party server acts as an intermediary between the insurance company and service provider. This mediator receives validation requests from the insurance company, queries the service provider for monitoring status information, and returns only the validation results without exposing customer data. The intermediary enables accurate validation while preserving customer privacy by controlling information flow.
Solution Approach 2:
The system extracts only the necessary validation information (monitoring status) from the service provider's customer data, without transferring or exposing the entire customer dataset. The trusted third party queries the service provider and extracts only the specific fact needed for validation, leaving the rest of the customer data private.
2Reliability
If the insurance company continuously validates monitoring service status, then the accuracy of benefit distribution is improved, but the system complexity increases
Solution Approach 1:
The system enables automated self-service validation where the trusted third party automatically queries the service provider on behalf of the insurance company without manual intervention. The service provider's system automatically responds to validation requests, and the insurance company automatically receives and processes results, reducing operational complexity despite continuous validation.
Solution Approach 2:
The trusted third party server performs multiple functions: it acts as a validator, a data intermediary, a privacy protector, and a communication coordinator. This multi-functional design consolidates complexity into a single component rather than requiring separate systems for each function.
3Adaptability or versatility
If the insurance company offers premium discounts for remote monitoring services, then the incentive for policyholders to maintain services is improved, but the risk of incorrect benefit allocation increases
Solution Approach 1:
The system implements continuous feedback validation where the insurance company periodically queries the trusted third party to verify current monitoring status. This feedback loop ensures that premium discounts are allocated only to policyholders who currently have active monitoring services, maintaining benefit allocation accuracy while preserving incentives.
Data Source
AI summary
An automated validation system validates whether a property covered under an insurance policy to which a benefit is applied is currently receiving remote monitoring services, as reflected in stored policy-related data. The system includes an application server, a trusted third party server, and a management computer. The application server requests the trusted third party server to validate whether the property is presently receiving remote monitoring services from a service provider. A management computer can adjust the insurance policy based on the received validation results.