Patient Downgrade Recommendation System for ICU Resource Optimization
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Solution Overview
Problem
In intensive care units (ICUs), determining patient status for potential downgrading is laborious and time-consuming due to vast amounts of scattered medical data, leading to inefficiencies and increased cognitive load for care providers, which can result in poor patient outcomes, especially during high-demand situations like pandemics.
Innovation Solution
A computerized patient downgrade recommendation system that automatically aggregates relevant data from multiple sources, applies predefined rules to generate downgrade recommendations, and presents them in a graphical user interface, reducing the time and cognitive burden on care providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If care providers manually review patient records in EHR systems to determine downgrade eligibility, then comprehensive patient assessment can be performed, but the process becomes laborious and time-consuming
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated computerized system that retrieves, aggregates, and analyzes patient data from multiple sources using algorithms and decision rules, thereby eliminating the time-consuming manual review while maintaining assessment accuracy
Solution Approach 2:
The system enables self-service by automatically performing data retrieval, aggregation, and analysis without requiring care provider intervention in the manual review process, allowing the system to serve itself in assessing patient downgrade eligibility
2Reliability
If care providers review comprehensive patient data from multiple sources, then accurate downgrade decisions can be made, but cognitive load increases
Solution Approach 1:
The system extracts and isolates only the relevant patient data elements needed for downgrade decision-making from the comprehensive data set, filtering out unnecessary information and presenting only critical findings to reduce cognitive load while maintaining decision accuracy
Solution Approach 2:
The computerized system acts as an intermediary between the complex multi-source patient data and the care provider, processing and synthesizing the information through automated algorithms before presenting simplified recommendations, thereby reducing the cognitive burden on providers
3Reliability
If ICU resources are allocated to continuous patient monitoring, then patient care quality improves, but resource availability for new patients decreases
Solution Approach 1:
The system performs preliminary assessment of patient readiness for downgrade before the actual transfer decision is made, identifying eligible patients in advance and preparing them for timely discharge, thereby enabling faster resource turnover without compromising care quality
Solution Approach 2:
The system provides continuous feedback on patient status changes and downgrade eligibility, enabling dynamic adjustment of resource allocation and facilitating timely patient transfers that improve both care quality and resource productivity
Data Source
AI summary
Various methods and systems are provided for automatically generating a recommendation to downgrade a patient from an intensive care unit (ICU) to a different medical unit. In one embodiment, a method for a patient downgrade recommendation system comprises, for each patient of a plurality of selected patients of the ICU, selecting a set of downgrade criteria for the patient; from a first, larger set of patient data of the patient, automatically compiling a second, smaller set of patient data based on the set of downgrade criteria; applying a set of rules associated with the set of downgrade criteria to the second, smaller set of patient data to generate a downgrade recommendation for the patient; and arranging the graphical downgrade recommendation elements of the plurality of selected patients in a single integrated view of a user interface a display device of the patient downgrade recommendation system.