Healthcare Data Normalization for Real-Time Patient Care Directives
Solution Overview
Problem
Current healthcare systems face challenges in efficiently managing and analyzing diverse, proprietary data sources for real-time decision-making, as raw data from various vendors is often incompatible and difficult to access, hindering effective resource allocation and patient care.
Innovation Solution
A computer-implemented system that includes a database layer to normalize patient-related data from multiple sources, an algorithmic processing layer to analyze and rank data points for actionable insights, and a visualization layer to present real-time directives for operational changes, enabling efficient resource management and patient care.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If raw data from multiple proprietary sources is collected for comprehensive analysis, then data completeness is improved, but data compatibility and accessibility deteriorate
Solution Approach 1:
The patent introduces a normalization layer as an intermediary between diverse proprietary data sources and the analysis system. This layer translates and standardizes data from different vendors into a common format, enabling comprehensive data collection while maintaining compatibility. The normalization layer acts as a mediator that resolves format conflicts without losing data completeness.
2Speed
If real-time analysis of all patient data is performed, then decision-making speed is improved, but system complexity increases
Solution Approach 1:
The patent segments the healthcare data system into distinct layers: data collection layer, normalization layer, analysis layer, and presentation layer. Each layer handles specific tasks independently, reducing overall system complexity while enabling real-time analysis. The segmentation allows parallel processing of different data types without creating bottlenecks.
Solution Approach 2:
The system performs preliminary normalization and filtering of data before the main analysis phase. By pre-processing data into standardized formats and identifying only relevant data points, the system reduces the computational burden during real-time analysis, thereby maintaining speed without requiring excessive system complexity.
3Reliability
If detailed patient metrics are tracked for improved care quality, then patient care quality is improved, but data accessibility and ease of understanding deteriorate
Solution Approach 1:
The patent applies local quality by presenting different levels of data detail to different user roles and contexts. The system maintains comprehensive detailed metrics for clinical decision-making while automatically generating simplified summaries for administrative oversight. Each user interface is tailored to show only the relevant level of detail needed for that specific function, making data accessible without oversimplifying the underlying complexity.
Data Source
AI summary
Embodiments of systems and methods of the present disclosure include a database layer queries patient-related raw data from data tables of distinct data collection services, normalizes the patient-related raw data to produce common format normalized patient-related data, and stores the common format normalized patient-related data. An algorithmic processing layer, in real-time, analyzes the common format normalized patient-related data based on patient-related data metrics, a healthcare facility-related data metrics, or both, to determine patient-related data points, where each patient-related data point is associated with a respective threshold condition and a respective ranking score, ranks the patient-related data points based on the threshold condition and the ranking score to determine a priority, and generates actionable medical directives related to patients, where the actionable medical directives cause real-time operational changes in the way that the healthcare facility services the patients. And a visualization layer presents, in real-time, the actionable medical directives.