Adequacy of Anesthesia GUI for Multi-Room Trend Analysis
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Solution Overview
Problem
Existing patient monitoring systems during perioperative care lack the ability to aggregate data effectively, making it difficult to identify trends in anesthesia usage and resulting patient outcomes, which hinders efficient agent usage and positive patient outcomes.
Innovation Solution
A system comprising a display and a computing device that determines Adequacy of Anesthesia (AoA) protocol usage and compliance, generating a graphical user interface to visualize and manage anesthesia parameters across multiple operating rooms and over time, utilizing real-time medical device data analysis and machine learning for tailored anesthetic delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple patient monitoring devices are used to monitor individual patients, then patient monitoring capability is improved, but data aggregation and trend analysis capability deteriorates
Solution Approach 1:
The system merges data from multiple independent patient monitoring devices into a centralized platform. The graphical user interface consolidates real-time data from multiple operating rooms, enabling aggregate analysis of anesthesia usage patterns while preserving individual patient monitoring capabilities. This resolving the contradiction by combining分散 monitoring functions with centralized data aggregation.
Solution Approach 2:
The monitoring system performs multiple functions simultaneously: it monitors individual patients in real-time while also aggregating data across multiple operating rooms to identify anesthesia usage trends. The system serves both specific patient care needs and broader operational optimization goals through its multi-functional graphical interface.
2Manufacturing precision
If detailed individual patient data is monitored, then patient care quality is improved, but identification of overall anesthesia usage trends deteriorates
Solution Approach 1:
The system adds a new dimension of analysis by simultaneously presenting data at two levels: individual patient level (one-dimensional) and aggregate facility level (multi-dimensional). The graphical interface enables users to navigate between these dimensions, allowing detailed patient care while also identifying overall anesthesia usage patterns that span multiple patients and time periods.
3Loss of information
If real-time monitoring of multiple operating rooms is implemented, then operational visibility is improved, but system complexity increases
Solution Approach 1:
The system introduces an intermediary layer (the centralized processing platform and graphical user interface) that mediates between multiple monitoring devices and users. This intermediary automatically aggregates, processes, and presents data in a unified format, reducing the perceived complexity for users while maintaining comprehensive real-time visibility across multiple operating rooms.
Data Source
AI summary
Systems and methods are provided for perioperative care in a medical facility. In an example, a system includes a display and a computing device operably coupled to the display and storing instructions executable to: determine each of an Adequacy of Anesthesia (AoA) protocol usage and an AoA protocol compliance based on medical device data received from one or more medical devices and parameters for an AoA protocol; and output, to the display, a graphical user interface (GUI) that includes an AoA protocol usage indication generated based on the determined AoA protocol usage and an AoA protocol compliance indication generated based on the determined AoA protocol compliance.