Anatomical Patient Display for Cardiovascular and Ventilation Control
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Solution Overview
Problem
Traditional medical displays in cardiovascular and ventilation systems are not compatible with human perceptual capabilities, requiring significant cognitive effort and attention, and do not effectively present high-order system states, leading to potential human error in critical decision-making situations.
Innovation Solution
An anatomically graphical interface system utilizing abstraction hierarchies and mass conservation principles to present goals, functional parameters, and controls, supporting attention allocation, situation awareness, and decision-making through integrated graphics and real-time data for managing cardiovascular and ventilation systems, as well as medication and fluid administration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional one-sensor/one-indicator displays are used, then device complexity is reduced, but information transmission efficiency deteriorates and cognitive load increases
Solution Approach 1:
The display is segmented into multiple hierarchical levels (sensor level, indicator level, system state level) allowing information to be organized and presented at appropriate abstraction levels, improving information transmission without overwhelming the clinician
Solution Approach 2:
The display adds a temporal dimension by showing trends and historical data alongside current values, and an abstraction dimension by presenting both raw sensor data and interpreted system states, enabling comprehensive information presentation
2Manufacturing precision
If traditional numeric and meter displays are used, then manufacturing precision requirements are reduced, but human perceptual compatibility deteriorates
Solution Approach 1:
The system uses color coding to represent different system states (e.g., green for normal, yellow for warning, red for critical), allowing clinicians to quickly assess patient status without interpreting numerical values, improving perceptual compatibility
Solution Approach 2:
The display uses graphical icons and curved visual elements that mimic natural human perception patterns, making the information more intuitively understandable compared to traditional linear numeric displays
3Measurement precision
If traditional displays showing raw data are used, then measurement precision is maintained, but attention demands increase
Solution Approach 1:
The system provides immediate visual feedback by automatically interpreting sensor data and displaying meaningful system states (e.g., 'patient stable,' 'critical alert') alongside raw data, reducing the attention required to monitor individual parameters while maintaining measurement precision
4Loss of information
If traditional displays requiring data processing are used, then information completeness is improved, but time for effective action increases
Solution Approach 1:
The system performs preliminary processing and interpretation of sensor data in advance, pre-calculating system states and potential alerts so that when a clinician views the display, the critical information is already prepared and highlighted, reducing decision-making time while maintaining information completeness
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.