Healthcare Risk Analytics Using Normalized Safety Benchmarking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Healthcare facilities face challenges in pinpointing and mitigating risks such as malpractice claims, misdiagnosis, and safety issues due to varying patient demographics and geographic location differences, making it difficult to assess facility performance accurately.
Innovation Solution
A system and method that combines disparate data sets from external resources to generate analytics-based assessments using machine learning, normalizing patient outcomes with underlying population wellness data to provide actionable insights for improved performance, quality, and reduced costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional safety ratings are used to assess facility performance, then facility performance can be evaluated, but the ratings are not indicative of facility-specific efforts due to patient population differences
Solution Approach 1:
The patent applies local quality by normalizing safety metrics to account for specific facility characteristics and patient population demographics. Instead of using uniform industry-wide ratings, the system adjusts metrics to reflect local conditions at each facility, enabling accurate comparison of facility-specific performance while accounting for regional variations in patient health status and demographics.
2Measurement precision
If comprehensive data sets are combined to improve assessment accuracy, then actionable insights can be generated, but data complexity and processing difficulty increase
Solution Approach 1:
The patent merges multiple disparate data sets including safety metrics, patient demographics, community health data, and facility characteristics into a unified analytical framework. By combining these diverse data sources and applying normalization algorithms, the system generates comprehensive facility assessments that provide actionable insights while managing data complexity through integrated processing.
3Productivity
If industry safety ratings are used without normalization, then comparisons can be made across facilities, but geographic and demographic differences confound the results
Solution Approach 1:
The patent applies parameter changes by transforming raw safety metrics through normalization processes that adjust for geographic and demographic variables. The system modifies the parameters of safety measurements to account for differences in patient population health status, age distributions, and community risk factors, enabling precise cross-facility comparisons while maintaining benchmarking efficiency.
Data Source
AI summary
In an illustrative embodiment, systems and methods are provided for combining disparate data sets gathered from a variety of external resources to produce safety metrics related to healthcare facilities, correlating data elements derived from the data sets to identify variables that impact safety incident risk in a medical facility environment, and normalizing patient outcomes with underlying population wellness data to allow for benchmarking across facilities and/or geographic regions.