Medical Governance Platform for Trigger-Based Data Compliance
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Solution Overview
Problem
Conventional systems face challenges in efficiently and uniformly implementing robust governance mechanisms for medical data due to complex, inconsistent, and overlapping rules and guidelines, leading to resource-intensive manual processes and increased risks of data breaches and non-compliance.
Innovation Solution
An automated medical system governance platform (MGP) that determines governance metadata based on trigger events, rule bases, and event parameters to perform governance checks, ensuring compliance with laws, policies, and contractual guidelines, thereby facilitating efficient and timely data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual governance processes are used to manage medical data, then flexibility in handling complex rules can be maintained, but resource consumption increases and productivity decreases
Solution Approach 1:
The patent replaces manual mechanical governance processes with an automated computer-based system that uses algorithms and machine learning models to evaluate data against governance rules, thereby maintaining adaptability while significantly improving productivity and reducing resource consumption
Solution Approach 2:
The patent introduces a governance engine as an intermediary layer between data operations and governance rules, which automatically interprets and applies complex rules without requiring manual intervention, thus maintaining flexibility while enhancing efficiency
2Reliability
If comprehensive governance checks are performed on all data operations, then compliance and security are improved, but system complexity and processing time increase
Solution Approach 1:
The patent applies partial action by performing governance checks selectively based on risk assessment, data sensitivity, and operation type, rather than uniformly checking all data operations, thus maintaining high compliance assurance while reducing system complexity
Solution Approach 2:
The patent performs preliminary classification and risk assessment of data and operations before applying detailed governance checks, allowing the system to focus complexity only where necessary while maintaining comprehensive compliance coverage
3Productivity
If automated governance systems are implemented, then productivity and consistency are improved, but adaptability to handle nuanced governance scenarios may deteriorate
Solution Approach 1:
The patent uses parameter changes by adjusting governance thresholds, rule weights, and evaluation criteria dynamically based on data context, operation type, and organizational policies, allowing automated systems to adapt to nuanced scenarios while maintaining high productivity
Solution Approach 2:
The patent implements dynamics by making the governance system adaptable and configurable, where rules and parameters can be modified without changing the underlying automated infrastructure, thus maintaining both productivity and adaptability to nuanced scenarios
4Reliability
If frequent governance monitoring is performed, then data security and compliance are enhanced, but resource consumption and system performance increase
Solution Approach 1:
The patent implements periodic action by scheduling governance monitoring at appropriate intervals based on data sensitivity, operation risk, and compliance requirements, rather than continuous monitoring, thus maintaining security while reducing resource consumption
Solution Approach 2:
The patent uses feedback mechanisms where the system learns from previous governance outcomes and adjusts monitoring frequency accordingly, reducing resource consumption for low-risk scenarios while maintaining high security for sensitive operations
Data Source
AI summary
A medical system governance platform is configured to determine an occurrence of a trigger event, wherein the trigger event initiates a governance check to be performed on data associated with the trigger event, obtain, as part of the governance check, governance metadata corresponding to the data associated with the trigger event, wherein the governance metadata is associated with at least one rule base for the data associated with the trigger event, obtain, as part of the governance check, a governance parameter based on at least one of the governance metadata, a parameter associated with the trigger event, and the at least one rule base, wherein the governance parameter is indicative of a governance action related to the data associated with the trigger event, and initiate performance of a governance action based on an evaluation of the governance parameter.


