Voice AI Controller for Surgical Protocol Verification
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Solution Overview
Problem
Ineffective team communication and adherence to standardized protocols in fields like surgery lead to errors, with electronic record platforms often being inefficient, failing to provide timely information, and containing incomplete or inaccurate data, which complicates the execution of protocols and guidelines.
Innovation Solution
A voice-based artificial intelligence controller system that uses a microphone, speaker, and computer device to parse natural language statements into discrete data elements, compare them with stored data, and request clarifications if discrepancies are found, ensuring accurate information is processed and stored in a structured format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If electronic record platforms are used to implement standardized protocols, then information can be stored and accessed, but the workflows become inefficient and information is not provided at the appropriate time
Solution Approach 1:
The patent replaces traditional mechanical electronic record interface interactions with voice-based natural language processing. The voice interface system captures, transcribes, and processes spoken statements through automated parsing and validation, eliminating the need for manual form filling and electronic record navigation, thereby improving workflow efficiency while maintaining information completeness
Solution Approach 2:
The system performs automated validation, verification, and documentation of protocol adherence without requiring manual intervention. The voice interface automatically parses statements, validates against standardized protocols, identifies discrepancies, and documents outcomes, enabling the system to serve itself in managing information accuracy and workflow efficiency
2Productivity
If voice-based processing is implemented, then information processing speed improves, but accuracy may decrease due to potential misinterpretation of natural language
Solution Approach 1:
The system implements automated feedback loops where voice statements are parsed, validated against standardized protocols, and discrepancies are identified and flagged for review. This feedback mechanism ensures that rapid voice processing does not compromise accuracy, as the system continuously verifies interpreted information against established criteria and allows for correction of misinterpretations
Solution Approach 2:
The patent introduces an intermediary layer between voice input and final information processing. The natural language processing system acts as a mediator that translates spoken statements into structured data, validates the translation against protocol requirements, and ensures accuracy before incorporating the information into the record, thereby maintaining precision while enabling fast voice-based processing
3Reliability
If standardized protocols are strictly followed, then error prevention improves, but workflow complexity increases
Solution Approach 1:
The voice interface system replaces complex manual protocol execution with automated voice-based verification. The system automatically guides users through protocol steps, validates responses against standardized requirements, and documents adherence, thereby maintaining high reliability for error prevention while reducing the perceived complexity for users through natural language interaction
Data Source
AI summary
A system for voice-based process management is provided. The system includes a microphone, a speaker, and a computer device in communication with the microphone and the speaker. The computer device includes at least one processor in communication with at least one memory device. The computer device is programmed to (i) receive, via the microphone, one or more audible statements from an individual; (ii) parse the one or more audible statements into discrete data elements to allow normalized semantic definition of the meaning of conveyed information; (iii) compare the conveyed information with stored data; (iv) determine whether there is a discrepancy based on the comparison; and (v) if the determination is that there is a discrepancy, request, via the speaker, a clarification.