Complex Alert Interface for Medical Condition Detection

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Solution Overview

Problem

Conventional alert management systems are limited in detecting complex patient conditions such as sepsis, as they rely on simple logic to examine variables crossing thresholds, failing to account for the complexity required in identifying conditions like sepsis.

Innovation Solution

A complex alert interface is introduced that allows users to configure derived parameters and automated alerts using mathematical aggregate functions, enabling the detection of complex conditions by evaluating a combination of patient parameters and conditions through a sophisticated alert expression.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If simple logic is used to examine variables crossing thresholds, then the alert system is easy to operate and understand, but it cannot detect complex patient conditions such as sepsis

Engineering Contradiction:
Improvedetection capabilityVSAvoidalert logic complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The complex alert logic is segmented into multiple simple conditions (first condition, second condition, etc.), each evaluating a single parameter against a threshold. These segmented conditions are then combined using mathematical aggregate functions to form the complete complex alert expression, making the system both versatile and manageable.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system transitions from single-dimension threshold checking to multi-dimensional evaluation by introducing mathematical aggregate functions (count, sum, average) that operate across multiple parameters and conditions. This dimensional expansion enables detection of complex conditions like sepsis while maintaining operational simplicity through standardized aggregation operations.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If complex logic is implemented to detect conditions like sepsis, then the detection capability is improved, but the system complexity increases

Engineering Contradiction:
Improvecondition detection accuracyVSAvoidalert expression complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

Mathematical aggregate functions serve as intermediaries between individual parameter conditions and the final complex condition detection. These aggregate functions (count, sum, average) simplify the evaluation process by providing standardized intermediate results that bridge simple threshold checks and complex diagnostic criteria, improving reliability without proportionally increasing system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system changes parameters from binary threshold crossings to quantitative aggregate measurements. By transforming multiple boolean condition evaluations into numerical aggregate values (counts, sums, averages), the system achieves more reliable detection of complex conditions while maintaining manageable complexity through mathematical operations.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If mathematical aggregate functions are used to evaluate complex conditions, then the versatility of the alert system is expanded, but the computational complexity increases

Engineering Contradiction:
Improvealert configuration flexibilityVSAvoidautomated evaluation complexity
Core Design Contradiction:
Adaptability or versatilityVSExtent of automation

Solution Approach 1:

The mathematical aggregate functions (count, sum, average) serve universal purposes across multiple alert configurations and clinical conditions. The same aggregate operations are used regardless of the specific medical condition being monitored, providing configuration flexibility while reducing automated evaluation complexity through reusable, standardized computational patterns.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS8922377B2System, method, and software for automating complex alerts
Publication Date: 2014.12.30 COVIDIEN LP
  • US8922377B2 patent drawing
  • US8922377B2 patent drawing
  • US8922377B2 patent drawing

AI summary

A method for automating complex alerts includes receiving, at a complex alert interface, first parameters from at least one medical device and a first comparison operator. The first parameters and the first comparison operator are indicative of a first condition. The method further includes receiving, at the complex alert interface, second parameters from the at least one medical device and a second comparison operator. The second parameters and the second comparison operator are indicative of a second condition. The method further includes generating, at the complex alert interface, a complex alert expression based on a mathematical aggregate of the first condition and the second condition. The method further includes evaluating the complex alert expression to initiate display of at least one alert.