Medical Data Governance System Blockchain Integrity
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Solution Overview
Problem
The exponential growth of health-related data from various devices leads to a high risk of data not being collected or being wrongly associated, causing bottlenecks in medical data management, particularly in personalized medicine and real-time applications, due to outdated healthcare information systems and inadequate patient identification and data association.
Innovation Solution
The Medical Data Governance System (MDGS) addresses this by collecting, normalizing, and synchronizing data from isolated and networked medical devices, using blockchain signatures to ensure data integrity and consistency, and providing a centralized source for data export, thereby preventing data loss and ensuring accurate association and time referencing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data collection is expanded to capture all medical device data, then data completeness improves, but system complexity increases
Solution Approach 1:
The patent introduces a Medical Data Governance System as an intermediary layer between medical devices and healthcare systems. This mediator collects, validates, normalizes, and stores data from diverse devices, then provides standardized data outputs to various consumers. The intermediary handles the complexity of data aggregation and transformation, allowing complete data collection without directly increasing the complexity of individual systems.
Solution Approach 2:
The system segments data collection and processing into distinct functional modules: data collection from devices, data validation, data normalization, data storage, and data distribution to consumers. This segmentation allows each component to specialize in specific tasks, making the overall complex system manageable and maintainable while achieving comprehensive data capture.
2Speed
If real-time data processing is implemented, then response speed improves, but data accuracy may deteriorate
Solution Approach 1:
The system performs preliminary data validation and normalization actions immediately upon data collection, before data is stored or distributed. This preliminary processing ensures data accuracy is established early in the workflow, allowing real-time responses to be based on pre-validated accurate data rather than raw unprocessed data.
Solution Approach 2:
The Medical Data Governance System incorporates feedback mechanisms that continuously monitor data quality and provide corrections or adjustments. When data accuracy issues are detected, the system can request retransmission or apply corrective transformations, ensuring real-time responses are based on accurate data while maintaining speed through automated feedback loops.
3Stability of the object's composition
If centralized data storage is used, then data consistency improves, but data accessibility may worsen
Solution Approach 1:
The centralized Medical Data Governance System is designed with universal interfaces and standardized data formats that serve multiple functions and consumers simultaneously. The system provides unified access mechanisms for diverse data consumers including healthcare providers, researchers, and administrators, maintaining data consistency while improving accessibility through a single standardized interface rather than requiring access to multiple disparate systems.
Data Source
AI summary
A medical data governance system records, secures, and provides appropriate access to all patient data. By concentrating all available relevant medical data into a single source and providing a subset of data to each receiving subsystem with the correct source and time reference, the medical data governance system becomes the true source of data and guarantees the data consistency through the use of block chain signatures. A data recovery scheme allows for missing or incomplete data to be sourced from any server to which patient data is sent, even data sourced from a remote location.