Medical Device State Capture for Offline Troubleshooting
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Solution Overview
Problem
Existing techniques for troubleshooting medical device failures are inefficient and inaccurate due to manual data collection and transmission, which often results in incomplete or inconsistent information, especially when the device is offline.
Innovation Solution
A computerized system utilizing an artificial intelligence model to collect, compress, and encrypt troubleshooting data, generating a system state digest encapsulated in QR codes or encoded text for secure transmission to a cloud backend, enabling automated and accurate diagnosis and remediation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data collection and transmission techniques are used, then device complexity is reduced, but troubleshooting accuracy and completeness deteriorate
Solution Approach 1:
The medical device automatically collects and transmits its own troubleshooting data without requiring manual intervention from users. The system self-diagnoses and self-reports system state information, error logs, and operational data to support teams, eliminating the need for users to manually gather and transmit data.
Solution Approach 2:
The device continuously collects and stores troubleshooting data in advance before failures occur or before users need to report issues. This preliminary data collection ensures that complete and accurate system state information is ready for immediate transmission when a service request is initiated, eliminating gaps in data availability.
2Reliability
If automated data collection is implemented, then troubleshooting accuracy is improved, but device complexity increases
Solution Approach 1:
The system extracts and transmits only the essential troubleshooting data and system state information needed for diagnosis, rather than copying the entire device state. This selective extraction mechanism reduces the data volume and complexity of automated transmission while maintaining complete and accurate troubleshooting information.
Solution Approach 2:
A service request acts as an intermediary trigger that initiates automated data collection and transmission. When a user submits a service request, it activates the automated system to gather relevant data and transmit it to support teams, bridging manual initiation with automated execution without requiring complex continuous monitoring systems.
3Object-affected harmful factors
If troubleshooting data is transmitted securely, then data protection is improved, but transmission speed and efficiency deteriorate
Solution Approach 1:
The troubleshooting data is segmented into essential information components that are transmitted separately and securely. The system divides data into critical system state information, error logs, and operational parameters, transmitting only what is necessary for diagnosis while maintaining security through encrypted transmission of each segment.
Data Source
AI summary
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to dynamic system state capture for troubleshooting of medical devices. Accordingly, a system can comprise a memory that can store computer executable components. The system can further comprise a processor that can execute at least one of the computer executable components that can collect, in response to a service request in connection with a system failure of a medical device and via an artificial intelligence model, troubleshooting data based on a time range or an error type of the system failure. In various aspects, at least one of the computer executable components can further generate a system state digest of the troubleshooting data. In various instances, the system can further dynamically generate an encryption of the system state digest.