Real-time Clinical Simulation Graphs for Decision Efficiency
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Solution Overview
Problem
Healthcare facilities face challenges in making efficient decisions due to the lack of real-time, objective data for simulations, which are typically after-the-fact or hypothetical, resulting in unmanageable data spreadsheets that clinicians find difficult to use for decision-making.
Innovation Solution
The development of a system that generates real-time simulations using current clinical data, allowing users to select scenarios and display simulation graphs with baseline and scenario statuses, enabling quick identification of efficient solutions by comparing multiple graphs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If simulations are performed using traditional methods, then analysis of hypothetical scenarios is available, but the output results are unmanageable data spreadsheets that require organization and are not readily usable by clinicians
Solution Approach 1:
The patent introduces an intermediary processing system that transforms raw simulation output data into a standardized, visually intuitive format. This intermediary layer includes automated data organization algorithms and graphical presentation components that convert complex spreadsheets into easily interpretable visual displays, making simulation results accessible to clinicians without requiring manual data organization.
Solution Approach 2:
The patent replaces the manual mechanical process of organizing and interpreting data spreadsheets with an automated computational system. The system automatically processes simulation output, organizes data according to predefined clinical parameters, and generates visual representations, eliminating the need for clinicians to manually sort and analyze raw data.
2Loss of time
If simulations are performed using traditional methods, then hypothetical analyses are available, but the simulations are not real-time and are based on after-the-fact data
Solution Approach 1:
The patent implements preliminary action by continuously pre-processing and storing clinical data in a standardized format ready for immediate simulation analysis. The system maintains a current database of clinical parameters that is continuously updated, allowing simulations to be performed on the latest available data without requiring time-consuming data collection and preparation steps.
Solution Approach 2:
The patent transforms the static, after-the-fact simulation approach into a dynamic, real-time system. The simulation model continuously receives updated clinical data and automatically recalculates outcomes, allowing the system to adapt to changing clinical conditions and provide current, relevant predictions rather than historical analyses.
3Productivity
If multiple simulation graphs are generated for varying areas of interest, then clinicians can identify efficient solutions, but the system complexity increases
Solution Approach 1:
The patent implements a universal simulation framework that can generate multiple types of simulation graphs through a single integrated system. The core simulation engine is designed to be multi-functional, capable of producing various graphical outputs (trend lines, comparative analyses, predictive models) using the same underlying data structure and processing algorithms, thereby reducing overall system complexity while maintaining versatility.
Solution Approach 2:
The patent segments the simulation output into distinct graphical representations organized by clinical area of interest. Each graph focuses on specific parameters and outcomes relevant to particular clinical decisions, allowing clinicians to access targeted information without being overwhelmed by comprehensive but undifferentiated data. The segmentation is achieved through automated categorization and selective visualization of relevant simulation results.
Data Source
AI summary
Methods, systems, and computer storage media are provided for generating simulation graphs using real-time clinical data. A user may indicate one or more scenario variables to apply to an area of interest. A simulation graph is then generated that includes at least an indication of a scenario status. The scenario status indicates an expected result based on the one or more scenario variables selected by the user. The simulation graph may also include a baseline status indicating an expected result should no changes be made to a current environment. Multiple simulation graphs for varying areas of interest may be generated and compared to one another such that a user is able to quickly identify efficient solutions.