Clinical Intelligent Agent for Patient Data Monitoring and Alert Prioritization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current patient care management systems lack an efficient method for monitoring critical events, disseminating information, and tracking interventions, leading to informal and ineffective communication and response to changing patient conditions.
Innovation Solution
A clinical intelligent agent system that receives patient-specific data, compares it with historical reference data to detect patterns of decompensation, generates alerts, and prioritizes care provider tasks based on escalating severity, using a dynamic notification system with automated escalation and real-time communication routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring of complex related information from disparate sources is used, then information can be accessed, but the monitoring and communication process becomes informal and inefficient
Solution Approach 1:
The patent combines multiple disparate information sources and manual monitoring processes into a single integrated automated system. The clinical intelligent agent consolidates data from various sources (vital signs, lab results, nursing notes) and unifies the monitoring, notification, and escalation processes into one coherent automated workflow, eliminating the informal and fragmented manual approach.
Solution Approach 2:
The patent replaces the manual mechanical monitoring process with an automated intelligent agent system. The agent automatically collects, analyzes, and responds to patient data without human intervention for routine monitoring tasks, substituting the manual mechanical process with an automated intelligent system that handles data processing and notification dissemination.
2Reliability
If automated monitoring and notification systems are implemented, then response efficiency improves, but the system complexity increases
Solution Approach 1:
The patent segments the complex automated monitoring system into distinct functional modules: data collection, pattern recognition, alert generation, notification dissemination, and escalation management. Each module performs a specific function, making the overall complex system manageable through modular design where each segment can be independently developed, tested, and maintained.
Solution Approach 2:
The clinical intelligent agent acts as an intermediary between the complex monitoring system and the healthcare providers. It processes and interprets complex data patterns, translates them into actionable alerts, and manages the escalation workflow, serving as a mediator that simplifies the interaction between the complex automated system and human users.
3Speed
If real-time pattern recognition and alert escalation are implemented, then critical events are detected faster, but the computational requirements increase
Solution Approach 1:
The patent implements preliminary action by pre-defining patterns of decompensation and alert escalation rules before they are needed. The system is pre-configured with knowledge of critical patterns and response protocols, allowing it to rapidly match incoming data against known patterns without performing complex real-time analysis, thus reducing computational energy requirements while maintaining fast detection speed.
Data Source
AI summary
A method includes: receiving, at a clinical intelligent agent, patient specific data comprising information regarding the condition of the patient in a room; determining an event requiring action has occurred with respect to the patient, wherein the determining comprises comparing, using a monitor of the clinical intelligent agent, the patient specific data with historical reference data; displaying one or more alerts on a patient screen; scoring, using the clinical intelligent agent, the one or more alerts, wherein the scoring comprises escalating the one or more alerts based upon a response to the one or more alerts; and prioritizing, using the clinical intelligent agent, care provider tasks displayed on the patient screen based on the score of the one or more alerts. Other aspects are described and claimed.