Medical Algorithm Configuration and Execution System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing medical algorithms lack an efficient and user-friendly system for building, verifying, and executing medical algorithms based on test result values from various assays, such as viscoelastic testing, blood gas testing, and coagulation testing.
Innovation Solution
A system and process that utilize non-transitory machine-readable storage media to store instructions executable by processing devices to output a user interface for receiving inputs, configuring a medical algorithm based on these inputs, and displaying a representation of the algorithm, including operations and notifications triggered by the algorithm's execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a medical algorithm system is designed to be comprehensive and handle multiple assay types, then the system's functionality and versatility improve, but the system complexity increases
Solution Approach 1:
The system divides the medical algorithm functionality into separate modules for different assay types (viscoelastic testing, blood gas testing, coagulation testing, platelet function testing, ACT testing). Each module can be independently configured and executed, reducing overall system complexity while maintaining comprehensive functionality.
Solution Approach 2:
The system implements a universal algorithm execution engine that can handle multiple assay types through a common interface. The standardized data structures and processing framework allow the same core system to serve multiple specialized functions without requiring separate complex systems for each assay type.
2Productivity
If the medical algorithm includes multiple operations and notifications, then the system's analytical capability improves, but the ease of operation deteriorates
Solution Approach 1:
The system pre-configures standardized operations and notifications for different assay types. Common analytical rules, evaluation criteria, and notification templates are established in advance, reducing the operational burden during actual use while maintaining comprehensive analytical capabilities.
Solution Approach 2:
The system uses templates and predefined configurations for common operations and notifications. Once an algorithm is configured for one assay type, similar configurations can be replicated and adapted for other assay types, reducing the effort required to operate the system across multiple test types.
3Reliability
If the system provides detailed verification and execution capabilities, then the reliability of medical decisions improves, but the time required for algorithm processing increases
Solution Approach 1:
The system implements automated verification mechanisms that provide immediate feedback on algorithm configuration and execution. The verification process checks for consistency and validity of algorithm parameters, and the execution process provides real-time status updates, ensuring reliability without requiring manual verification steps that would increase processing time.
Data Source
AI summary
In an example, one or more non-transitory machine-readable storage media store instructions that are executable by one or more processing devices to perform a method that includes: outputting a user interface configured to receive inputs to use in a medical algorithm; configuring the medical algorithm based on the inputs; and outputting a display. The display includes a representation of the medical algorithm. The representation presents operations to be executed by the medical algorithm. The representation relates the operations to one or more notifications triggered based on the operations.