Conversational Medical Interface for Diagnostic Workflow
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Solution Overview
Problem
Physicians face cognitive and visual attention challenges when viewing medical images, as they need to switch between multiple tasks such as image viewing, patient histories, and report creation, leading to potential distractions and inefficiencies in diagnostic processes.
Innovation Solution
The implementation of a conversational computing system that combines a computerized image management system, a medical knowledge decision engine, and a conversational human interface, using deep learning algorithms to provide context-sensitive audio inputs, minimizing cognitive distraction and enhancing diagnostic efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If physicians view multiple sources of information (images, patient histories, reports) simultaneously, then they can access comprehensive patient data, but cognitive distraction and visual attention challenges increase
Solution Approach 1:
The patent introduces an audio-based intermediary system that mediates between the physician and multiple information sources. The system provides spoken summaries of patient histories, prior reports, and relevant findings, allowing physicians to access comprehensive data through auditory channels rather than visually switching between multiple screens and documents, thus reducing cognitive distraction while maintaining information access
2Adaptability or versatility
If physicians switch between multiple tasks (image viewing, patient histories, report creation), then they can complete all required diagnostic tasks, but diagnostic efficiency decreases
Solution Approach 1:
The system performs preliminary actions by providing audio summaries of patient histories, prior imaging reports, and relevant clinical findings before the physician needs to review detailed information. This allows physicians to maintain focus on image analysis while having key contextual information already presented auditorily, reducing the need to switch tasks and improving diagnostic efficiency
Solution Approach 2:
The patent replaces the mechanical action of visually switching between multiple screens and documents with an audio-based information delivery system. By substituting visual task-switching with auditory information presentation, the system enables physicians to maintain continuous engagement with medical images while still accessing comprehensive patient data, thereby improving diagnostic efficiency
3Ease of operation
If traditional multi-media capabilities are used (audio files of report conclusions), then physicians can view images while receiving audio information, but the system lacks dynamic adaptability to user needs
Solution Approach 1:
The patent implements dynamic adaptability by making the audio information delivery system responsive to the physician's current viewing actions and clinical context. The system dynamically adjusts which information is presented auditoribly based on real-time analysis of image viewing patterns, selected anatomical regions, and clinical parameters, transforming static audio files into a dynamic, context-sensitive conversational interface that adapts to user needs
Data Source
AI summary
A conversation management system provides a conversational computing interface that manages verbal exchanges between a computer (e.g., artificial intelligence) and a human operator. In a medical embodiment, conversational input from the computing system is generated based on medical knowledge, uses deep learning algorithms, and/or intelligently tracks the state of a conversation so as to the most relevant data to the user.