Surgical Data Validation Network for Cloud Integrity Control
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Solution Overview
Problem
Medical systems and facilities face challenges in interconnecting and sharing knowledge with other facilities, leading to slower adoption of improved technologies due to patient safety concerns and traditional practices, resulting in suboptimal communication and data integrity in surgical procedures.
Innovation Solution
A system comprising a medical hub, remote servers, and medical instruments that validate data generated during procedures, ensuring data integrity by identifying and preventing errors, and integrating this system into a cloud-based network for improved communication and data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If medical systems interconnect and share data across facilities, then communication and knowledge sharing improve, but data integrity and patient safety risks worsen
Solution Approach 1:
The patent introduces a cloud-based platform as an intermediary that receives, validates, and processes surgical data before sharing it across facilities. This mediator performs authentication, validation, and error detection on incoming data packets, ensuring that only verified data is integrated into the shared network, thus resolving the contradiction between communication efficiency and data integrity
Solution Approach 2:
The system implements feedback mechanisms where validation results, error detections, and authentication outcomes are fed back into the data transmission process. This allows the system to continuously improve data quality by identifying patterns of errors and adjusting validation rules, maintaining both high communication efficiency and data integrity
2Reliability
If traditional practices are maintained for patient safety, then patient safety is preserved, but adoption of new technologies slows down
Solution Approach 1:
The patent applies preliminary action by performing validation, authentication, and error detection on data before it is shared or used in surgical procedures. This pre-validation ensures that new technologies and data sources are thoroughly checked beforehand, maintaining patient safety while enabling faster adoption of innovative solutions
Solution Approach 2:
The system changes parameters such as validation thresholds, authentication requirements, and error tolerance levels dynamically. This allows the system to adapt to different new technologies while maintaining safety standards, enabling faster technology adoption without compromising patient safety
3Reliability
If data validation and authentication processes are implemented, then data integrity improves, but system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the system automatically performs validation, authentication, and error detection without requiring manual intervention. The cloud-based platform autonomously verifies data sources, checks data quality, and filters errors, maintaining high data integrity while minimizing the operational complexity burden on users
Data Source
AI summary
A system for validating data purportedly generated in a medical procedure is disclosed. The system includes a medical hub, at least one remote server communicatively coupled to the medical hub, and a medical instrument communicatively coupled to the medical hub. The system is configured to access the data, validate the data to determine if the data is validly generated by the medical procedure, determine that the data contains at least one flaw or error, and improve data integrity by preventing the at least one flaw or error from being integrated into a larger dataset associated with the at least one remote server.