AI Platform for GI Procedure Documentation Automation
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Solution Overview
Problem
Medical professionals spend excessive time documenting information from procedures, diverting attention from patient care due to manual documentation processes involving unstructured speech and image data.
Innovation Solution
An AI platform integrates natural language processing, image classification, and pattern recognition to extract and structure clinical information from speech and image data during procedures, automating the documentation process and generating reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual documentation processes are used to document information from medical procedures, then complete clinical information can be captured, but medical professionals spend excessive time on documentation tasks
Solution Approach 1:
The system enables self-service documentation by automatically processing speech and image data to generate structured clinical reports without requiring manual intervention from medical professionals. The AI platform autonomously transcribes speech, identifies key information, structures data, and produces documentation that is ready for review and signature.
Solution Approach 2:
The patent replaces the manual mechanical process of documentation with an automated AI-based system. Speech-to-text conversion, natural language processing, and automated report generation substitute for the manual typing, copying, and organizing that medical professionals previously performed.
2Productivity
If manual documentation processes are used, then clinical information can be recorded, but medical professionals have less time to spend on patient care
Solution Approach 1:
The documentation system serves itself by automatically generating reports from captured speech and image data, freeing medical professionals from manual documentation tasks and enabling them to dedicate more time to direct patient care activities.
3Loss of information
If unstructured speech and image data are collected during procedures, then comprehensive clinical information is captured, but the data requires extensive processing and organization
Solution Approach 1:
The system extracts key clinical information from unstructured speech and image data by identifying and isolating relevant entities, concepts, and relationships. Natural language processing techniques extract meaningful information while filtering out unnecessary details, converting unstructured data into structured format.
Solution Approach 2:
The AI platform performs multiple functions within a single integrated system: speech-to-text conversion, natural language processing, information extraction, data structuring, and report generation. This multi-functional approach handles the entire data processing pipeline without requiring separate systems for each task.
4Productivity
If automated AI processing is implemented to reduce documentation time, then documentation efficiency improves, but system complexity increases
Solution Approach 1:
The AI system is segmented into distinct functional modules: speech-to-text conversion module, natural language processing module, information extraction module, data structuring module, and report generation module. Each module handles a specific aspect of the processing pipeline, making the overall complex system manageable through functional decomposition.
Data Source
AI summary
A method for processing content being collected during a gastrointestinal (GI) procedure. The method includes: displaying a live video feed from a scope within a GI tract of a patient; capturing and displaying an image from the live video feed in response to a natural language (NL) command recognized during the GI procedure with an artificial intelligence (AI) language processor; extracting a label and a GI location associated with the image from uttered NL using the AI language processor during the GI procedure; annotating the image with the label and GI location while the image is displayed during the GI procedure; and displaying a GI tract replica during the procedure, wherein the replica includes a visual indicator that maps the GI location of the image in the GI tract.