Dynamic Workflow Processing for Secure Cross-Institution Data Utilization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In scenarios where multiple institutions manage data differently, achieving consistent and effective remote utilization of data across these institutions is challenging due to variations in data management methods, leading to potential data leakage or inaccurate processing results.
Innovation Solution
An information processing device that receives requests to execute workflows, updates these workflows by adding processing units based on the request contents, and executes the updated processes, ensuring data protection, format standardization, and access control, thereby enabling consistent data utilization across diverse data management methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is remotely accessed from multiple institutions with different data management methods, then data utilization capability is improved, but data security and consistency deteriorate
Solution Approach 1:
A standardized interface layer is introduced between the requester and multiple institutions' data systems. This interface acts as an intermediary that translates diverse institutional data management methods into a unified processing framework, enabling consistent data utilization while maintaining security protocols specific to each institution.
Solution Approach 2:
The workflow is segmented into distinct processing units that can be independently configured and executed. Each processing unit handles specific data operations with appropriate security measures, allowing data to be processed in controlled stages rather than as a monolithic operation, thus improving both adaptability and security.
2Stability of the object's composition
If standardized processing is applied across diverse data management methods, then data consistency is improved, but processing flexibility deteriorates
Solution Approach 1:
The workflow configuration is made dynamic and adjustable. While standardized processing units ensure consistency, the sequence, activation, and parameters of these units can be dynamically modified based on specific institutional requirements and data characteristics, balancing standardization with flexibility.
Solution Approach 2:
Different processing units are applied to different segments of the data workflow based on local requirements. Each institution can configure specific processing units with locally-appropriate parameters while maintaining overall workflow consistency, allowing standardized frameworks to adapt to local data management methods.
3Manufacturing precision
If workflow updates are made based on request contents, then processing accuracy is improved, but system complexity deteriorates
Solution Approach 1:
Processing units and their configurations are prepared in advance based on predefined templates and institutional standards. This preliminary preparation reduces the complexity of real-time workflow updates while maintaining high processing accuracy, as the system only needs to select and activate pre-configured units rather than create them dynamically.
Data Source
AI summary
An information processing device includes: a receiver configured to receive, via a network, a request pertaining to executing a series of processes defined in such a manner that one or more first processing units are arranged to be sequentially executed; an updater configured to update the series of processes by adding a second processing unit based on contents of the received request to a timing in the series of processes based on the contents of the request; and a processor configured to execute the series of processes updated by the updater.