Patient Data Utilization Reporting System
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Solution Overview
Problem
Current healthcare systems face challenges in efficiently managing and tracking patient data utilization, access, and consent across different systems, leading to potential misuse and lack of transparency for patients regarding how their data is used.
Innovation Solution
A data propagation reporting system that annotates patient data with utilization information, including access logs, inclusion in datasets, and contributions to algorithms, while a health data management system uses consent keys to control access and modify data based on patient consent, and a medical data processing system assigns utilization scores to datasets for prioritization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If patient data is shared across multiple healthcare systems and algorithms, then data utilization and research value are improved, but data security and patient consent control become more difficult to manage
Solution Approach 1:
The system performs preliminary actions by obtaining patient consent before data is accessed or shared. Consent keys are generated in advance based on patient consent data, and these keys are required before any data propagation occurs. This ensures that data security and patient control are established before utilization begins.
Solution Approach 2:
The patent introduces consent keys as an intermediary mechanism between patient data and accessing systems. The consent key management system acts as a mediator that verifies consent status and controls data access, allowing data to be shared across multiple systems while maintaining security through the intermediary consent verification layer.
2Loss of information
If comprehensive tracking of data access and utilization is implemented, then patient control and transparency are improved, but system complexity and processing overhead increase
Solution Approach 1:
The patent segments the data propagation tracking into distinct annotation types (access annotations, contribution annotations, inclusion annotations). Each annotation type tracks a specific aspect of data utilization independently, allowing comprehensive transparency without requiring a single complex tracking system. The segmentation of tracking functions reduces overall system complexity by breaking down the monitoring task into manageable, standardized components.
3Adaptability or versatility
If data is collected and stored in multiple external systems, then research and algorithm development are enhanced, but consent management and data retrieval become more challenging
Solution Approach 1:
The consent key management system is designed as a universal mechanism that works across multiple external healthcare systems and data storage locations. The same consent key verification process applies whether data is accessed locally or from external systems, providing a multi-functional solution that simplifies consent management across diverse environments while enabling broad algorithm development.
Data Source
AI summary
A data propagation reporting system may obtain an annotation associated with health data associated with a patient and may determine, based on the annotation, utilization information associated with the patient's health data. The data propagation reporting system may generate a patient data utilization report that may include at least a portion of the utilization information associated with the patient. The utilization information may indicate at least one of: the system(s) in which the health data associated with the patient has been used, when the health data associated with the patient has been accessed, or the purpose(s) for which the health data associated with the patient has been used. The utilization information may indicate the control program(s) (e.g., system algorithms) to which the patient's data has been contributed. The utilization information may indicate the data collection(s) in which the patient's data has been included.