Digital Assistant for Medical Equipment Configuration
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Solution Overview
Problem
In healthcare environments, medical equipment configuration and customization are often complex and time-consuming, requiring significant user expertise and leading to inefficiencies, especially when dealing with different vendor systems and versions.
Innovation Solution
A digital assistant system that uses machine learning and AI to create digital twins of medical equipment, allowing for configuration, customization, and operation across various equipment types and vendor systems, facilitating user-friendly interaction and adaptation to specific clinical needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If medical equipment configuration is performed manually by users, then equipment can be customized to specific needs, but the process becomes complex and time-consuming
Solution Approach 1:
The system pre-configures equipment settings by automatically retrieving relevant parameters from the patient's electronic health record and transforming them into equipment-specific configuration commands before the procedure begins, eliminating manual configuration time while maintaining customization
Solution Approach 2:
An AI assistant acts as an intermediary between the patient's medical data and the equipment configuration system, automatically translating clinical requirements into technical settings without requiring user expertise in equipment operation
2Adaptability or versatility
If manual configuration is used to handle different vendor systems, then specific equipment requirements can be met, but user expertise is required and efficiency decreases
Solution Approach 1:
The system creates a universal configuration approach that works across multiple vendor systems by automatically adapting settings based on the specific equipment type, allowing one interface to control diverse equipment without requiring users to learn vendor-specific procedures
Solution Approach 2:
The equipment configuration system performs self-service by automatically identifying the connected equipment type, retrieving appropriate settings, and applying configurations without requiring user input or expertise in equipment operation
3Manufacturing precision
If complex configuration procedures are used, then precise equipment setup is achieved, but ease of operation is reduced
Solution Approach 1:
The system replaces manual mechanical configuration operations with an automated AI assistant that processes patient data and generates equipment settings automatically, maintaining precision while eliminating the need for complex user interactions
Solution Approach 2:
The system automatically changes equipment parameters based on transformed patient data from the electronic health record, adjusting configuration settings dynamically without requiring users to understand or manually set each parameter
Data Source
AI summary
Systems, apparatus, instructions, and methods for configuring and controlling medical equipment using a digital assistant are disclosed. An example digital assistant apparatus includes at least one processor to execute the instructions to at least: form a digital model of at least one aspect of a medical equipment; transform the model into a configuration for the medical equipment to perform a task; process input to adjust the configuration; provide the configuration to the medical equipment; monitor execution of the task by the medical equipment; and adjust the configuration of the medical equipment based on the monitored execution.