Adaptive Medical Instruction Engine for Station-Specific Guidance
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Solution Overview
Problem
Existing medical procedures face challenges in providing adaptive and personalized instructions to patients, particularly during their journey through a healthcare facility, which can lead to anxiety and inefficiencies due to varying patient abilities and communication types.
Innovation Solution
A medical system with an instruction engine that provides station-specific instructions using a computational system, subject locator, and sensor data to adapt instruction modes based on patient interaction and completion, ensuring seamless integration across hospital rooms and devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If standardized medical instructions are provided to all patients, then the system is simple to operate, but the instructions cannot adapt to varying patient abilities and communication types
Solution Approach 1:
The instruction delivery system dynamically adjusts the level and type of instructions based on real-time assessment of patient ability. The system transitions from static standardized instructions to dynamic adaptive instructions that change according to patient performance and characteristics, resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The system automatically assesses patient ability and delivers appropriate instructions without requiring manual configuration by staff. The automated assessment and adaptation process reduces the operational complexity burden while maintaining high adaptability to individual patient needs.
2Productivity
If manual coordination of patient preparation tasks is performed, then the system is simple, but the process is time-consuming and may fail based on patient ability
Solution Approach 1:
The patent replaces manual coordination processes with an automated computational system that assesses patient ability, selects appropriate instructions, and monitors completion. This substitution eliminates time-consuming manual coordination while improving productivity through automated workflow management.
Solution Approach 2:
The system continuously monitors patient completion of preparation tasks and uses this feedback to adjust instruction delivery and assess progress. This automated feedback loop eliminates manual coordination time while maintaining high efficiency through real-time tracking and adaptation.
3Ease of operation
If personalized instructions are tailored to each patient, then patient experience improves, but the system complexity increases
Solution Approach 1:
The system performs preliminary assessment of patient ability and characteristics before delivering instructions. By pre-assessing and pre-configuring the appropriate instruction level and type, the system achieves personalized clarity without requiring complex real-time processing during the actual instruction delivery.
Data Source
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AI summary
Disclosed herein is a medical system (100) for providing station specific instructions (150) for a set of stations (102). The execution of the machine executable instructions (140) causes a computational system (106) to control a subject locator (136) for determining (200) the current station and to perform a verification procedure comprising: receiving (202) station specific instructions comprising at least one manual action in response to inputting a received chosen protocol (144), the indication of the current station and an instruction mode (146) into an instruction engine (148); presenting (204) the station specific instructions; controlling (206) a subject measurement system (132); assessing (208) a measure of completion (152); and modifying (212) the instruction mode if (210) the measure of completion meets a predetermined modification criterion (154). The computational system to repeatedly performs the verification procedure until the measure of completion meets (214) a predetermined completion criterion (156).