Adaptive Medical Instruction System Using Subject Data Feedback
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Solution Overview
Problem
Complex medical systems, such as imaging systems, can be difficult for users to operate or repair due to lack of effective instructions, despite detailed guidance being provided.
Innovation Solution
A medical system comprising a memory with machine-executable instructions, an instruction database indexed by type and content, a presentation system for displaying instructions, and a subject data collection system for gathering user data. The system determines instruction type based on initial and updated user data, allowing for personalized and adaptive instruction presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detailed instructions are provided to users, then completeness of information is improved, but understandability and ease of operation deteriorate
Solution Approach 1:
The instruction database is segmented into multiple instruction sections, each addressing a specific aspect or step of operating the medical system. This allows the complete information to be divided into manageable chunks that are easier to understand and follow sequentially.
Solution Approach 2:
The system dynamically adapts the presentation of instructions based on real-time subject data. The computational system adjusts which instruction sections are presented, their order, and their level of detail according to the subject's demonstrated understanding, skill level, and performance, making the information both complete and appropriately tailored.
2Ease of manufacture
If standardized instructions are used for all users, then ease of implementation is improved, but adaptability to individual user needs deteriorates
Solution Approach 1:
The system continuously collects subject data during interaction with the medical system and uses this feedback to adaptively adjust the instructions presented. The computational system analyzes the subject's performance, errors, and progress in real-time, then modifies subsequent instruction presentations to match the subject's evolving needs and understanding level.
Solution Approach 2:
The system changes multiple parameters of instruction presentation based on subject data, including the level of detail, complexity, pacing, and type of instructional content. These parameter adjustments are made dynamically as the subject's skill and understanding evolve during the interaction session.
3Reliability
If real-time adaptation of instructions is implemented, then effectiveness of instruction delivery is improved, but system complexity increases
Solution Approach 1:
The computational system performs multiple functions using a unified architecture: it collects subject data, analyzes performance, determines appropriate instruction sections, presents instructions, and adapts to subject feedback. This multi-functional approach achieves effective real-time adaptation without proportionally increasing system complexity.
Solution Approach 2:
The instruction database serves as an intermediary layer between the computational system and the presentation system. It stores pre-organized instruction sections that can be selectively retrieved and presented, mediating between the need for complex adaptive logic and the need for simple instruction delivery.
Data Source
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AI summary
Disclosed herein is a medical system (100, 300) comprising a memory (110) storing machine executable instructions (130) and an instruction database (132) storing instruction sections indexed by instruction type (138) and instruction content (136). The medical system further comprises a presentation system (118) for displaying instructions (120) to a subject (112) and a subject data collection system (114) providing subject data (134, 144). Execution of the machine executable instructions causes a computational system (104) to: receive (204) a list of instruction content (136); receive (206) initial subject data (134) from the subject data collection system; and determine (208) the instruction type using the initial subject data. Execution of the machine executable instructions causes the computational system to repeatedly: retrieve (210) a next instruction section (140) from the instruction database; present (212) the next instruction section using the presentation system; and adjusting (214) the instruction type using the updated subject data.