Intelligent Pharmacovigilance Platform Data Sharing
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Solution Overview
Problem
Pharmacovigilance procedures are complex and costly due to the need for data collection, interpretation, and regulation compliance across various authorities, requiring efficient data sharing and task management between different databases and servers.
Innovation Solution
An intelligent pharmacovigilance platform using artificial intelligence algorithms to establish connections and set rules for data sharing between databases, enabling secure and efficient data exchange and task management based on license agreements, utilizing a server system with storage, communication units, and processors to facilitate data sharing and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data sharing between different databases and servers is implemented for pharmacovigilance procedures, then productivity and efficiency are improved, but device complexity and security management become more complex
Solution Approach 1:
The patent introduces a server as an intermediary component that manages data sharing between multiple databases and member companies. This server acts as a central coordinator that handles connection establishment, rule-based data sharing, and security management, thereby improving productivity while containing system complexity through centralized control rather than direct peer-to-peer connections between all components.
2Reliability
If comprehensive data sharing rules are established between databases, then data security and reliability are improved, but ease of operation and implementation become more difficult
Solution Approach 1:
The patent implements preliminary action by pre-establishing data sharing rules and connection protocols before actual data exchange occurs. The server is configured with predefined rules for what data can be shared, under what conditions, and with which member companies. This preliminary setup ensures security and reliability are built-in from the start, while the automated rule-based system reduces the operational burden during actual data sharing activities.
3Loss of information
If multiple databases and servers are connected for data sharing, then information completeness and productivity are improved, but loss of time for coordination and management increases
Solution Approach 1:
The patent enables continuous data sharing operations once the initial connection and rule setup are complete. The server maintains active connections with multiple databases and continuously exchanges data according to the predefined rules without requiring repeated coordination or setup. This continuous operation ensures all member companies receive complete information while minimizing the time lost to repeated coordination, as the system operates autonomously once established.
Data Source
AI summary
For collaboration between servers in an intelligent pharmacovigilance (PV) platform, a method of operating a server for providing a pharmacovigilance (PV) platform and managing a first database (DB) of a first member company and a second DB of a second member company may include obtaining information on an agreement between the first member company and the second company for a product, establishing a connection for data sharing between the first DB and the second DB, setting a rule for data sharing and performing control to share data related to the product between the first DB and the second DB based on the rule.