ICU Performance Graphic with Benchmark Data Strips

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Solution Overview

Problem

Intensive care units (ICUs) face challenges in accurately evaluating their performance due to direct comparisons with other ICUs, which can mask underperformance when the overall ICU population is underperforming, leading to missed opportunities for improving efficiency and resource allocation.

Innovation Solution

A system and methodology that generates a graphic displaying five dimensions of ICU performance, including a 2-dimensional graph and data strips, allowing for comparison against calculated benchmarks derived from historical medical records, providing a comprehensive and intuitive assessment of ICU performance trends.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If direct comparison between subject ICU and other ICUs is used, then simplicity of evaluation is improved, but measurement precision deteriorates because underperformance is masked when overall ICU population is underperforming

Engineering Contradiction:
Improvesimplicity of evaluationVSAvoidaccuracy of performance assessment
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent introduces calculated benchmarks as an intermediary between direct peer comparisons and performance assessment. These benchmarks serve as a reference standard that mediates the evaluation process, allowing ICUs to be compared against an objective standard rather than directly against each other, thereby preventing masking of underperformance when the overall population is underperforming

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent transforms the evaluation parameter from raw performance metrics to standardized ratios by dividing subject ICU performance by calculated benchmarks. This parameter transformation allows for meaningful comparison while accounting for differences in case mix and severity, improving measurement precision without sacrificing simplicity

Inventive Principle:
Principle #35Parameter changes

2Reliability

If multiple performance metrics are evaluated separately, then comprehensiveness of assessment is improved, but device complexity deteriorates due to difficulty in presenting and analyzing multiple metrics

Engineering Contradiction:
Improvecomprehensiveness of assessmentVSAvoidcomplexity of graphic presentation
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges multiple separate performance metrics into a single integrated graphic display that shows five dimensions of ICU performance simultaneously. By combining mortality rate, length of stay, and three other metrics into one cohesive visual representation with calculated benchmarks, the system maintains comprehensiveness while reducing the complexity of presentation and analysis

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent adds a temporal dimension to the performance metrics by showing trends over time alongside benchmark comparisons. This dimensional transformation allows multiple metrics to be evaluated comprehensively in a unified graphic that displays both cross-sectional performance and longitudinal trends, making complex data more manageable

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

Data Source

PatentUS8607153B2Graphic for displaying multiple assessments of critical care performance
Publication Date: 2013.12.10 CERNER INNOVATION INC
  • US8607153B2 patent drawing
  • US8607153B2 patent drawing
  • US8607153B2 patent drawing

AI summary

Systems and methods for rendering a graphic that describes multiple dimensions of performance for a subject intensive care unit (ICU) over a predefined period of time are provided. One method involves measuring the performance of the subject ICU against various metrics and displaying the measured performance as a graphic constructed of data strips placed adjacent to a 2-dimensional plot. The lengths of the data strips visually represent a percentage of patients that did not receive active treatment in the subject ICU, a rate of readmission to an ICU, and a median of the acute physiological scores (APS's) extracted from patients admitted to the subject ICU, respectively. The 2-dimensional plot includes an X-axis that represents a ratio of a hospital predicted mortality rate value over the measured mortality rate, while a Y-axis represents a difference between a predicted mean length of stay value and the measured mean length of stay value.