Multi-tenant Talkgroup Information Sharing via Consent
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Solution Overview
Problem
Current talkgroup technology limits information availability and accessibility across different tenant systems, leading to an incomplete information base due to siloed communication, which is inefficient and prone to human error when manually monitored.
Innovation Solution
Implement a multi-tenant communication system with a server that detects relevant information across talkgroups, requests consent for sharing, and enables secure exchange of relevant data between talkgroups, creating opportunities for information sharing without compromising confidentiality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If talkgroup communications are kept within the talkgroup and not transmitted to others, then confidentiality and security are maintained, but information availability and accessibility across different tenant systems deteriorate
Solution Approach 1:
The system introduces a server as an intermediary that receives communication data from multiple talkgroups, analyzes it for relevant information, and selectively shares information across tenant systems. This mediator enables information exchange while maintaining confidentiality by controlling what information is shared and with whom.
Solution Approach 2:
The system segments information into different levels: talkgroup-level confidentiality is maintained for core communications, while selected relevant information is extracted and shared at a higher system level. This segmentation allows simultaneous maintenance of local confidentiality and global information availability.
2Loss of information
If manual monitoring of talkgroups is implemented to share information, then information exchange between tenants is enabled, but system complexity and human error increase
Solution Approach 1:
The system implements self-service through automated analysis and sharing mechanisms. The server automatically monitors talkgroups, identifies relevant information using analysis rules, and shares it with appropriate tenants without requiring manual intervention, thereby reducing system complexity and eliminating human error.
Solution Approach 2:
The system uses feedback loops where communication data is continuously analyzed, relevant information is identified and shared, and the results feed back into the system to improve future information sharing decisions. This automated feedback mechanism replaces complex manual monitoring processes.
3Productivity
If automated detection of relevant information is implemented, then information sharing efficiency is improved, but consent management complexity increases
Solution Approach 1:
The system performs preliminary actions by obtaining consent from talkgroup members before analyzing their communication data for relevant information. Consent templates are pre-configured with sharing preferences, and members provide advance consent, which simplifies subsequent automated processing while managing complexity through structured pre-authorization.
Data Source
AI summary
Methods and systems for consent based information sharing. One system includes a server including an electronic processor configured to receive a first set of parsed communication data for a first talkgroup and a second set of parsed communication data for a second talkgroup. The electronic processor is configured to determine a topic of interest of the first talkgroup. The electronic processor is configured to identify relevant communication data from the second set of parsed communication data, where the relevant communication data is relevant to the topic of interest. The electronic processor is configured to determine whether the relevant communication data is shareable. The electronic processor is configured to, in response to determining that the relevant communication data is not shareable, request consent from the first talkgroup and the second talkgroup to share the relevant communication data, and, in response to receiving consent, enable sharing of the relevant communication data.