Automated Clinical Documentation System Using Machine Vision
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Solution Overview
Problem
Current clinical documentation systems face challenges in efficiently automating the collection, processing, and integration of diverse clinical encounter information from multiple sources, leading to inefficiencies in generating and maintaining accurate medical records.
Innovation Solution
An automated clinical documentation system that utilizes machine vision and audio recording technologies to capture and process encounter information, generating transcripts that can populate medical records, and allows for manual or automatic identification of procedural events such as informed consent, medical history, and drug interactions, enhancing data accuracy and accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual documentation methods are used, then data accuracy can be maintained through human review, but productivity is reduced due to time-consuming manual processes
Solution Approach 1:
The patent replaces manual mechanical documentation processes with automated electronic systems that capture clinical encounter data through integrated devices and algorithms, eliminating the need for manual transcription and processing while maintaining data accuracy through systematic validation protocols
Solution Approach 2:
The system enables automatic population of medical records by capturing encounter information through integrated devices and algorithms that self-process data without requiring manual intervention, allowing the documentation system to serve itself in generating and maintaining accurate medical records
2Loss of information
If multiple data sources are integrated into a unified system, then data accessibility is improved, but device complexity increases due to integration requirements
Solution Approach 1:
The patent combines multiple data sources including clinical encounter information, patient records, and procedural data into a single integrated electronic documentation system, allowing seamless access to comprehensive patient information while managing complexity through unified architecture
Solution Approach 2:
The system is designed with multi-functional capabilities to handle diverse data types and sources through a single platform, enabling the same system to capture, store, process, and retrieve various forms of clinical data without requiring separate specialized systems
Data Source
AI summary
A method, computer program product, and computing system for obtaining encounter information of a patient encounter; processing the encounter information to generate an encounter transcript; and processing the encounter transcript to locate one or more procedural events within the encounter transcript.