Integrated Stroke Unit Merging Diagnosis and Therapy
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Solution Overview
Problem
Current stroke units face delays due to the scattered nature of diagnosis and therapy activities across different departments, prolonging the time from patient arrival to therapy.
Innovation Solution
A regionally integrated emergency stroke unit is designed to concentrate all diagnosis and therapy activities within a single room, incorporating an information interaction area, an imaging examination area, and a thrombolytic therapy area, utilizing AI-assisted decision-making and movable low-field MRI for efficient patient management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If patients travel between consultation rooms, laboratories, imaging rooms, and therapy rooms in a traditional stroke unit, then comprehensive diagnosis and therapy can be performed, but valuable therapy time is delayed
Solution Approach 1:
The patent combines the consultation room, laboratory, imaging room, and therapy room into a single integrated stroke unit. All necessary diagnostic and therapeutic equipment and functions are consolidated in one location, eliminating the need for patients to travel between separate rooms and thereby reducing therapy time delays.
Solution Approach 2:
The integrated stroke unit is designed to perform multiple functions simultaneously - consultation, laboratory testing, imaging, and therapy - all within the same space. This multi-functional design allows the unit to handle the complete stroke care pathway without transferring patients between separate departments.
2Loss of time
If diagnosis and therapy activities are scattered across different departments, then specialized care can be provided, but diagnosis time and therapy time are prolonged
Solution Approach 1:
The patent merges diagnosis and therapy activities into a single integrated stroke unit, allowing both functions to be performed simultaneously without sequential delays. This integration eliminates the time loss associated with traveling between departments and streamlines the overall diagnostic and therapeutic process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This integrated approach significantly shortens diagnosis and therapy times, enabling more timely reperfusion therapy and improving clinical outcomes for acute ischemic stroke patients.
Implementation Method 1
a movable low-field magnetic resonance imager, and an AI-assisted decision-making system are set in the imaging examination area; the movable low-field magnetic resonance imager is configured to perform magnetic resonance imaging (MRI) on a head and neck of the patient
Implementation Method 2
the AI-assisted decision-making system is configured to assist in decision-making based on an automatic inquiry result, a scale score result, the test result, and MRI results of the head and neck, to generate and display a therapy regimen
Implementation Method 3
the comprehensive information surveillance monitor is configured to display basic information, an arrival time at a hospital, an arrival time at a clinic, and vital signs of a patient
Implementation Method 4
the test device is configured to perform electrocardiogram examination and pharmacogenetic testing, and monitor oxygen saturation, a blood pressure, and peripheral blood glucose of the patient
Implementation Method 5
the process support AI assistant is configured to perform, via voice interaction or touchscreen keying interaction, automatic inquiry and auxiliary nervous system scale scoring
Data Source
AI summary
A regionally integrated emergency stroke unit includes an information interaction area, an imaging examination area, and a thrombolytic therapy area. A doctor workstation, a comprehensive information surveillance monitor, and a process support artificial intelligence (AI) assistant are set in the information interaction area. A test device, a first television display, a movable low-field magnetic resonance imager, and an AI-assisted decision-making system are set in the imaging examination area. The process support AI assistant performs, via voice interaction or touchscreen keying interaction, automatic inquiry and auxiliary nervous system scale scoring, and further provides real-time retrieval support for a knowledge base and a clinical guideline. The AI-assisted decision-making system is configured to assist in decision-making based on an automatic inquiry result, a scale score result, the test result, and magnetic resonance imaging results of the head and neck, to generate and display a therapy regimen.