AI-Guided Medical Preference Processing for Targeted Patient Responses
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Solution Overview
Problem
Existing systems require significant time and effort for medical professionals to elicit patient preferences through dialogue due to the complexity and variety of patient concerns, hindering efficient shared decision-making in medical treatment discussions.
Innovation Solution
An information processing device and method that utilizes a processing circuit to acquire patient replies, estimate medical treatment preferences, and generate tailored responses, including narrowed responses and summary reports, to facilitate efficient questioning without medical professional involvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical professionals directly elicit patient preferences through dialogue, then the accuracy and completeness of preference information is improved, but the time and effort required increases significantly
Solution Approach 1:
An AI assistant acts as an intermediary between medical professionals and patients during preference elicitation. The AI handles the time-consuming dialogue and analysis work, while medical professionals receive processed preference information. This mediator approach maintains preference accuracy while dramatically reducing the time and effort burden on medical professionals.
Solution Approach 2:
The system enables patients to self-reflect and articulate their preferences through structured AI-guided questions, reducing the need for intensive professional interviewing. The AI analyzes patient responses autonomously to extract preference information, allowing patients to participate actively in their own preference documentation.
2Measurement precision
If the AI system analyzes all patient replies comprehensively, then the preference estimation accuracy is improved, but the processing complexity increases
Solution Approach 1:
The AI system segments the complex task of preference analysis into distinct functional modules: reply acquisition, preference estimation, response determination, and output generation. Each module handles a specific aspect of the processing pipeline, making the overall system more manageable and maintainable while preserving comprehensive analysis capabilities.
Solution Approach 2:
The system transforms unstructured patient replies into structured preference data by changing the parameter representation from free-text responses to categorized preference estimates with confidence levels. This parameter transformation simplifies subsequent processing while maintaining the essential information content.
3Loss of information
If the system generates detailed summary reports for all preferences, then the information completeness is improved, but the information overload increases
Solution Approach 1:
The system applies local quality by providing different levels of detail for different preferences based on their importance and certainty. High-confidence, high-importance preferences receive detailed analysis in summary reports, while lower-priority preferences receive condensed information. This differentiated approach maintains information completeness for critical preferences while reducing overall information load.
Solution Approach 2:
The system generates partial summary reports that focus on the most significant preferences rather than attempting to document every single preference in equal detail. This partial action approach provides sufficient information for clinical decision-making without creating overwhelming documentation burdens.
Data Source
AI summary
An information processing device of an embodiment includes a processing circuit. The processing circuit acquires a reply from a user. The processing circuit estimate medical treatment information including a plurality of preferences of the user regarding medical treatment on the basis of the reply. The processing circuit determine a response to the reply on the basis of the medical treatment information. The processing circuit outputs the response via an output interface. Furthermore, the processing circuit determines, as the response, at least one of a narrowed response and an approval request to the user.