Medical Facility Language Model for Unified Device Configuration
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Solution Overview
Problem
Complex medical technology systems require extensive training and practical experience to operate effectively, leading to suboptimal usage and functionality, especially in systems with multiple interconnected devices having non-uniform interfaces.
Innovation Solution
A computer-implemented procedure using a central computer-implemented language model (CIS) to generate inputs for domain-specific CISs, which in turn provide instructions for controlling and configuring medical technology devices, thereby simplifying human-machine interaction and centralizing control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If multiple medical devices with various interfaces are interconnected, then functionality and automation are improved, but device complexity and interface uniformity deteriorate
Solution Approach 1:
The patent introduces a central language model as an intermediary that mediates between the user and multiple medical devices. The user interacts with the central language model through natural language, which then translates and routes commands to the appropriate domain-specific language models and devices. This intermediary layer abstracts away the complexity of multiple device interfaces while maintaining automation capabilities.
Solution Approach 2:
The central language model serves as a universal interface that can handle commands for multiple different medical devices through a single unified interaction point. Instead of requiring separate interfaces for each device, the universal language model accepts natural language inputs and distributes them to the appropriate domain-specific models, enabling one interface to control multiple devices.
2Measurement precision
If extensive training and practice are required to operate medical devices, then operational precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces the traditional mechanical interaction model (where users directly manipulate device controls after extensive training) with an information-based system using natural language processing. The central language model and domain-specific language models process linguistic inputs to generate appropriate control commands, substituting the need for trained manual operation with automated language-based control that maintains precision while improving ease of use.
Solution Approach 2:
The language models act as an intermediary that translates user intent expressed in natural language into precise device control commands. This intermediary layer handles the complexity of translating high-level user goals into specific device operations, maintaining operational precision while allowing users to interact without extensive device-specific training.
3Ease of operation
If manual control and information exchange between devices are used, then ease of operation is improved, but productivity deteriorates
Solution Approach 1:
The system performs preliminary actions by having the central language model pre-process user commands and pre-coordinate between multiple domain-specific language models and devices before actual device operation. This preliminary coordination automates the information exchange and workflow management that would otherwise require manual intervention, improving productivity while maintaining the simplicity of natural language input for users.
Solution Approach 2:
The system implements feedback loops where the central language model receives information from multiple devices through domain-specific language models, processes this information, and generates appropriate responses or coordinated actions. This automated feedback mechanism improves workflow efficiency by eliminating manual information gathering and synthesis while keeping the user interface simple through natural language interactions.
Data Source
Figure 1~2
Figure 3
AI summary
For human-machine interaction to control and/or configure a medical device (1), user input is captured for a central computer-implemented language model, CIS, (11), which relates to the performance of a medical examination and/or intervention using the medical device (1). Using the central CIS (11), an initial input for a first CIS (12) is generated based on the user input. Using the first CIS (12), initial instructions for controlling and/or configuring a first medical device of the medical device (1) are generated based on the initial input. Depending on the initial instructions, the first device (2) is at least partially automatically controlled and/or configured, and/or user information for controlling and/or configuring the first device (2) is output based on the initial instructions.