Automated Sepsis Detection System Using EMR Data Integration
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Solution Overview
Problem
Current healthcare systems lack a comprehensive, real-time data collection and automated surveillance system for sepsis, leading to delayed diagnosis and treatment, increased mortality, and higher hospital costs due to manual data access and calculation burdens on healthcare professionals.
Innovation Solution
A sepsis alert and recovery treatment system that compiles data from Electronic Medical Records (EMR) and Admission, Discharge, Transfer (ADT) systems, providing real-time alerts, tracking, and recommendations for SEP-1 bundle compliance, displayed on a dashboard for immediate decision-making by multiple providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual data access and calculation methods are used by healthcare professionals, then flexibility and adaptability in clinical judgment are maintained, but diagnosis time increases and productivity decreases
Solution Approach 1:
The system performs automated surveillance and sepsis detection using electronic health record data without requiring manual intervention. The algorithm automatically calculates sepsis risk scores, identifies time zero, and generates alerts, allowing the system to serve itself rather than requiring provider manual analysis
Solution Approach 2:
The patent replaces the manual mechanical process of data access and calculation with an automated electronic system. The algorithm automatically retrieves data from EHR systems, performs calculations, and generates alerts, substituting human manual work with computational automation
2Measurement precision
If comprehensive real-time surveillance systems are implemented, then early detection accuracy improves, but system complexity and implementation difficulty increase
Solution Approach 1:
The system is designed to work with existing electronic health record systems and data infrastructure, performing multiple functions including data retrieval, risk calculation, alert generation, and time zero identification through a single integrated algorithm, reducing the need for separate complex subsystems
Solution Approach 2:
The patent introduces an intermediary algorithm that processes EHR data and generates standardized outputs. This intermediary layer simplifies the interface between complex data sources and clinical users, translating raw data into actionable alerts without requiring direct complex system integration
3Productivity
If automated algorithms calculate time zero and generate alerts, then diagnosis time is reduced and productivity increases, but the complexity of data processing and automation requirements increase
Solution Approach 1:
The system performs preliminary automated calculations of sepsis risk scores and identifies time zero in advance, before clinical decisions are made. The algorithm continuously monitors data and prepares alerts ready for immediate provider action, reducing the time needed for diagnosis
Data Source
AI summary
The disclosed embodiments include a sepsis alert and recovery treatment system that is configured to provide identification of time zero, track documentation and communication between providers identifying sepsis, generate associated alerts, provide recommendations and tracking for SEP-1 bundle compliance, display remaining time for reassessment, and recommend and track re-assessment and sepsis recovery.