Health Network Control System for 5G Patient Data Integration
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Solution Overview
Problem
First responders face challenges in administering treatments due to limitations in integrating onsite patient information with isolated data systems and misapplication of communication prioritization in 5G wireless communication systems, which can lead to inefficiencies in resource allocation and treatment decision-making.
Innovation Solution
A health network control system that integrates user devices with network assistance, enabling the integration of patient information across unconnected systems, allocating network resources based on patient status, and selecting treatment facilities using AI-driven analysis of historical data and real-time sensor inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If 5G wireless communication systems provide increased bandwidth and improved networking capacity, then the capability to transmit patient information is enhanced, but the system fails to integrate onsite patient information with isolated data systems due to lack of interoperability
Solution Approach 1:
The patent introduces a health network control system as an intermediary that receives patient information from first responders via 5G networks and integrates it with data from isolated hospital systems, electronic health records, and other data sources. This mediator enables seamless information integration across previously disconnected systems.
Solution Approach 2:
The health network control system serves multiple functions: receiving real-time patient data from first responders, integrating with various isolated data systems, prioritizing communications based on patient status, and facilitating treatment decisions. This multi-functional approach addresses information integration across diverse sources.
2Reliability
If provider networks allocate communication resources to prioritize certain types of communications, then important communications can be ensured, but prioritization is misapplied to lower importance communications or not applied to communications of higher importance
Solution Approach 1:
The system continuously monitors patient status information and uses this feedback to dynamically adjust communication prioritization. The health network control system evaluates real-time patient data and modifies resource allocation accordingly, ensuring that prioritization remains accurate and responsive to changing conditions.
Solution Approach 2:
The communication prioritization is made dynamic rather than static. The system adapts prioritization levels based on real-time assessment of patient status, ensuring that communications related to critical patients receive higher priority while automatically adjusting when patient conditions change. This dynamic approach prevents misapplication of prioritization.
3Productivity
If first responders have access to more integrated information systems, then treatment decision-making can be improved, but the complexity of integrating multiple isolated systems increases device and system complexity
Solution Approach 1:
The patent merges multiple isolated data systems including hospital information systems, electronic health records, and real-time sensor data into a single unified health network control system. This consolidation provides first responders with integrated information while managing complexity through unified architecture.
Solution Approach 2:
The health network control system acts as an intermediary layer that handles the complexity of integrating multiple isolated systems. First responders interact with this mediator rather than directly with complex integrated systems, simplifying their interface while enabling access to comprehensive integrated information.
4Measurement precision
If the system processes and analyzes more real-time data from multiple sources, then facility selection accuracy can be improved, but the processing time and computational requirements increase
Solution Approach 1:
The system performs preliminary processing and pre-filtering of data from multiple sources before conducting detailed analysis for facility selection. By preparing and organizing data in advance, the system reduces the time required for final processing while maintaining high selection accuracy.
Solution Approach 2:
The system applies different processing depths to different data sources based on their relevance and reliability. Critical real-time patient status data receives intensive processing while less critical information undergoes lighter processing, optimizing the balance between accuracy and processing time.
Data Source
AI summary
The technologies described herein are generally directed to facilitating operation of a health network control system. In accordance with one or more embodiments, systems described herein can include a processor, and a memory that can store executable instructions that, when executed by the processor, can facilitate performance of operations that can include facilitating receiving, from transceiver of a second device, a first signal that can describe an event related to treatment of the treatment subject. Further, the operations can include, based on an analysis of the subject information, the event information and facility information representative of a group of treatment facilities, selecting a treatment facility that can perform the treatment of the treatment subject, resulting in a selected treatment facility, and facilitating communicating via a second signal to the transceiver of the second device, selected facility information corresponding to the selected treatment facility.