Visual Language Engine for Virtual Patient Chart Data Processing
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Solution Overview
Problem
Healthcare professionals face challenges in efficiently processing and correlating large amounts of alphanumeric data, leading to increased stress, errors, and time constraints due to the slow processing of visual information compared to alphanumeric data.
Innovation Solution
A computer-implemented method and system that generates and displays graphics, known as disotypes, using consistent visual modification rules to convey patient information on a virtual patient chart, leveraging the human brain's ability to rapidly process visual data, thereby reducing cognitive load and improving data processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If alphanumeric data is used to present patient information, then information can be displayed in a traditional format, but the processing time increases and cognitive load increases
Solution Approach 1:
The patent replaces alphanumeric text-based information systems with a visual graphic-based system. The visual language engine generates graphical representations (disotypes) that substitute traditional text displays, enabling the human brain to process information 60,000 times faster through visual channels rather than alphanumeric processing.
Solution Approach 2:
The patent changes the fundamental parameter of information presentation from alphanumeric format to visual graphic format. By transforming data into visual disotypes with consistent modification rules, the system exploits the human visual processing advantage to dramatically reduce processing time while maintaining information completeness.
2Reliability
If large amounts of patient data are displayed in alphanumeric format, then comprehensive information is provided, but correlation between reports becomes difficult and errors increase
Solution Approach 1:
The patent substitutes traditional alphanumeric data correlation methods with visual graphic correlation. The disotype system uses consistent visual modification rules that allow caregivers to rapidly correlate information across different patient reports by recognizing visual patterns and changes, thereby reducing errors and improving reliability.
3Productivity
If visual graphics are used to display patient information, then processing speed increases, but the system complexity increases
Solution Approach 1:
The patent creates a universal visual language system (disotypes) that can represent multiple types of patient data through a single consistent framework. The visual modification rules serve multiple functions: representing data values, indicating changes, showing correlations, and maintaining consistency across different data types, thereby managing system complexity while enabling rapid processing.
4Loss of time
If traditional alphanumeric charts are used, then information completeness is maintained, but caregiver stress increases and decision-making slows down
Solution Approach 1:
The patent replaces the cognitively demanding alphanumeric processing system with a visual processing system that leverages the human brain's natural 60,000x faster visual processing capability. This substitution reduces caregiver stress by eliminating the need to pore through large amounts of text while maintaining complete information through the visual disotype representations.
Data Source
AI summary
A computer implemented method of displaying a virtual patient chart. The method includes receiving data relating to a patient and generating, using a processor, a graphic representing at least one attribute related to a characteristic of the patient, wherein the generating uses a plurality of consistent visual modification rules that convey additional information to the graphic. The method also includes displaying the graphic on a virtual patient chart.