Ecological Interface for Patient Cardiovascular Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional medical displays for managing patient cardiovascular and ventilation systems, as well as medication and fluid administration, are inadequate as they do not effectively utilize human perceptual capabilities, leading to increased cognitive demands and potential errors due to their reliance on one-sensor/one-indicator technology and lack of representation of high-order system states.
Innovation Solution
The development of an ecological interface system that organizes elements to show inter-relationships among system variables, using multiple levels of abstraction hierarchies and anatomical graphical representations to present goals, functional parameters, and controls, facilitating better attention allocation, situation awareness, and decision-making through integrated graphics and real-time data monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional one-sensor/one-indicator displays are used, then device complexity is reduced, but information transmission effectiveness deteriorates and cognitive demands increase
Solution Approach 1:
The patent combines multiple sensors and multiple indicators into an integrated display system. Multiple physiological parameters (e.g., heart rate, blood pressure, oxygen saturation) are displayed simultaneously on a single integrated interface, allowing clinicians to monitor multiple system states without scanning separate displays. This merging approach improves information transmission effectiveness while managing device complexity through unified architecture.
Solution Approach 2:
The display system is designed to serve multiple functions simultaneously: monitoring multiple physiological parameters, displaying alerts, providing diagnostic information, and supporting decision-making. This multi-functional approach allows a single display system to handle diverse information needs without requiring separate specialized displays for each function.
2Loss of information
If traditional numeric and meter displays are used, then manufacturing simplicity is maintained, but human perceptual capabilities are not utilized and data transmission is hindered
Solution Approach 1:
The patent employs color-coded indicators to represent different physiological states and alert levels. For example, color changes indicate normal versus abnormal parameter ranges, priority levels of alerts, and system status. This visual encoding leverages human color perception capabilities to transmit information more effectively than numeric displays alone, while the implementation uses standard display technologies.
Solution Approach 2:
The system transitions from one-dimensional numeric displays to multi-dimensional visual representations that incorporate spatial arrangement, color, and graphical elements. Physiological parameters are organized in hierarchical displays that show both individual values and their relationships to system goals, adding dimensional depth to information presentation without requiring complex manufacturing.
3Reliability
If traditional displays are used, then attention demands are reduced in terms of display count, but significant information may be prominent while important data are pushed into the background
Solution Approach 1:
The display system applies different visual qualities and priorities to different pieces of information based on their clinical significance. Critical parameters and alerts receive prominent visual treatment (e.g., larger display, contrasting colors, positional emphasis), while less critical information is presented with lower visual weight. This local differentiation ensures that important data stand out without requiring clinicians to actively search through all displayed information.
Solution Approach 2:
The system provides dynamic feedback that adapts to the clinical situation by automatically adjusting which information is highlighted based on current physiological states and detected anomalies. When abnormal conditions are detected, the system increases the prominence of relevant diagnostic information and alerts, guiding clinician attention to areas requiring immediate assessment without manual reconfiguration.
4Reliability
If traditional displays are used, then system simplicity is maintained, but high-order system states must be deduced by processing raw data which exceeds human capabilities or time available
Solution Approach 1:
The system performs preliminary processing and integration of multiple raw physiological data streams to compute and display high-order system states directly. Rather than requiring clinicians to mentally integrate heart rate, blood pressure, and oxygen saturation to assess cardiovascular status, the system pre-computes these integrated assessments and presents them as ready-to-interpret visual indicators, saving critical decision-making time.
Solution Approach 2:
The display system acts as an intermediary that translates complex multi-parameter physiological data into simplified visual representations of system state. It mediates between the raw sensor data and the clinician's decision-making needs by automatically synthesizing information about cardiovascular function, respiratory status, and overall patient stability, reducing the cognitive load required for situation awareness.
Data Source
AI summary
An information display and control system that enables a fast and easy understanding and management of the status of the patient's dialysis is disclosed. Also disclosed is an information display and control system that enables a fast and easy understanding and management of the status of the patient's cardiovascular and ventilation systems. The system can control management of a patient's dialysis, as well as administration and management of a patient's medication and fluids. The display is organized by goals related to management of patient's dialysis machine, blood flow, dialyzer flow, and patient's body weight. The display is also organized by goals related to management of patient's cardiovascular system, ventilation system, and medications and fluids administration and management. Such goals include urea reduction rate, urea reduction ratio, fractional urea clearance, total urea reduction, dialysis treatment duration, hemodynamics, oxygenation, CO2 removal, medication status, and fluids status.