Event Vector Matching for Protocol Compliance Tracking
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Solution Overview
Problem
Manual tracking of compliance with protocols in network environments is slow and burdensome, requiring efficient automation to manage and analyze large volumes of data across diverse systems and formats.
Innovation Solution
An interaction system with a transformative processing engine that aggregates, transforms, and stores data from various sources, using an architecture stack to facilitate data management, access, and compliance, enabling real-time tracking and analysis of protocol completion through event vectors and presence time processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual tracking of protocol compliance is used, then operational simplicity is maintained, but productivity and measurement precision deteriorate due to slowness and burden
Solution Approach 1:
The patent replaces manual mechanical tracking processes with an automated computer-based system that collects, processes, and analyzes protocol compliance data automatically. The system substitutes human operators with algorithms that can process multiple data streams simultaneously, dramatically improving tracking speed and accuracy while reducing manual burden.
Solution Approach 2:
The patent introduces an intermediary processing layer between raw protocol data and compliance assessment. This intermediary system aggregates data from multiple sources, transforms it into standardized formats, and presents it in a unified view, thereby managing complexity while enabling high-speed automated tracking.
2Measurement precision
If automated data collection from multiple sources is implemented, then measurement precision and productivity improve, but device complexity increases
Solution Approach 1:
The patent divides the data collection and processing system into distinct modular components: data collection modules that interface with specific sources, data transformation modules that standardize formats, and analysis modules that assess compliance. This segmentation allows each component to be optimized independently while maintaining overall system precision.
Solution Approach 2:
The patent creates a universal data processing framework that can handle multiple data sources and protocol types through standardized interfaces. The system uses common data models and processing algorithms that work across different healthcare settings and protocol variations, reducing the complexity that would otherwise arise from customizing systems for each specific case.
Data Source
AI summary
A method for assessing completion of events in a network environment is provided. The method includes receiving a first event vector, generating a second event vector, machine matching the first event vector to the second event vector, and generating an output that includes a variable indicating whether an event corresponding to the first event vector is complete. If each of a plurality of first nodes of the first event vector matches a corresponding one of a plurality of the second nodes of the second event vector, the variable indicates that the event corresponding to the first event vector is complete. If at least one of the plurality of the first nodes of the first event vector is mismatched with the corresponding one of the plurality of the second nodes of the second event vector, the variable indicates that the event corresponding to the first event vector is incomplete.