Dictation Review Interface with Visual Correction Indicators
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Solution Overview
Problem
Existing speech recognition systems in healthcare and other professional settings often generate errors in transcribed notes, requiring review teams to correct these errors, which can be time-consuming and inefficient.
Innovation Solution
A system and method that provides a reviewing interface for users to review and correct dictation transcripts, with visual indicators showing previously corrected portions, allowing for improved accuracy, speed, and efficiency in the review process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If speech recognition systems are used to generate transcribed notes, then transcription speed is improved, but transcription accuracy deteriorates due to errors in generated notes
Solution Approach 1:
The system implements feedback by displaying visual indicators (e.g., highlights, color codes) that show reviewers which portions of the transcript have been previously corrected. This feedback mechanism allows reviewers to focus their attention on areas that need verification, improving both accuracy and efficiency in the review process
Solution Approach 2:
The system performs preliminary corrections automatically before human review, using speech recognition to generate an initial transcript with pre-corrections applied. This preliminary action reduces the workload on reviewers and improves overall transcription accuracy by addressing obvious errors before human intervention
2Manufacturing precision
If review teams manually correct errors in transcribed notes, then transcription accuracy is improved, but review time increases
Solution Approach 1:
The system extracts and highlights only the portions of the transcript that have been previously corrected, separating these from the rest of the text. This allows reviewers to quickly scan and verify only the corrected portions rather than reviewing the entire transcript, significantly reducing review time while maintaining accuracy
Solution Approach 2:
The system applies different visual qualities to different portions of the transcript based on their correction status. Corrected portions are displayed with special formatting (e.g., highlights, color changes) while uncorrected portions remain in standard format, enabling reviewers to efficiently locate and verify only the necessary sections
Data Source
AI summary
System and method for providing presence of modifications in user dictation are disclosed. Exemplary implementations may: obtain primary audio information representing sound, including speech from a recording user, captured by a client computing platform; perform speech recognition on the primary audio information to generate a textual transcript; effectuate presentation of the transcript to the recording user; receive user input from the recording user; alter, based on the received user input from the recording user, a portion of the transcript to generate an altered transcript; effectuate presentation of the altered transcript in conjunction with audio playback of at least some of the primary audio information in a reviewing interface on a client computing platform; receive user input from the reviewing user; alter, based on the received user input from the reviewing user, portions of the altered transcript to generate a reviewed transcript; and store the reviewed transcript in electronic storage.