Diagnostic Test Scheduling Based on User Profiles
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Solution Overview
Problem
Users often ignore or delay diagnostic tests for information handling systems, leading to potential aggravation of underlying health issues and inconvenience due to the time-consuming nature and user-unfriendly execution of conventional diagnostic methods.
Innovation Solution
A method that generates a schedule for executing diagnostic tests based on health condition monitoring results, diagnostic test conditions, health condition severity, and user profiles, ensuring tests are performed at convenient times aligned with user usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a full set of diagnostic tests is performed to provide the best accuracy and diagnostic information, then measurement precision is improved, but loss of time increases significantly
Solution Approach 1:
The diagnostic testing process is divided into multiple priority levels (critical, high, medium, low). Critical tests are executed immediately to address severe health conditions, while lower priority tests are scheduled for later execution or deferred, allowing comprehensive diagnostics to be performed in segments rather than all at once
Solution Approach 2:
The system performs preliminary health condition monitoring and assessment before executing full diagnostic tests. Health signatures are continuously tracked and analyzed to identify specific conditions that require immediate attention, allowing the system to prioritize tests based on pre-assessed needs rather than executing all tests regardless of actual condition severity
2Productivity
If diagnostic tests are executed immediately upon user request, then productivity loss is reduced, but user convenience deteriorates due to unexpected blockage of the information handling system
Solution Approach 1:
The diagnostic test execution schedule is dynamically adjusted based on user profiles, historical usage patterns, and system state. The system learns when users are typically active or inactive and schedules tests during periods of low expected usage, making the scheduling adaptive rather than static
Solution Approach 2:
The system incorporates user feedback regarding test execution experiences and system impact into future scheduling decisions. User profiles are updated based on responses to survey questions about test execution timing and system behavior, allowing the scheduling algorithm to improve over time based on actual user experiences
3Reliability
If users are notified of health alerts and prompted to perform diagnostic tests, then reliability of health monitoring is improved, but ease of operation deteriorates as users may ignore or delay diagnostic actions
Solution Approach 1:
The system performs self-diagnostic functions by automatically executing scheduled tests and analyzing results without requiring continuous user intervention. Once tests are scheduled, the system autonomously manages execution and interpretation, reducing the burden on users while maintaining reliable health monitoring
Solution Approach 2:
The system changes the parameter of user engagement from active participation (users manually initiating and monitoring tests) to passive reception (users receiving notifications and scheduled test results). This shifts the operational mode to reduce user burden while maintaining monitoring effectiveness through automated scheduling and execution
Data Source
AI summary
Methods and systems for performing diagnostic testing based on information handling system variables include receiving a first indication specifying diagnostic tests to be performed on an information handling system, receiving a second indication specifying diagnostic test conditions respectively associated with the diagnostic tests, receiving a third indication specifying health condition severity of the information handling system, and receiving a fourth indication specifying a user profile including user usage patterns. Based on the first indication, the second indication, the third indication, and the fourth indication, a schedule for executing diagnostic tests is generated.