Speech Recognition Note Editing for EMR Integration
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Solution Overview
Problem
Healthcare professionals face inefficiencies in documenting patient notes using speech recognition platforms, as existing systems lack streamlined processes for editing and integrating dictated information into electronic medical records (EMRs).
Innovation Solution
A system that enables users to dictate notes via speech input, allowing for editing of specific sections of patient records using touch gestures and speech recognition, which populates the corresponding fields and allows for importation of these notes into EMRs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If speech recognition platforms are used to dictate patient notes, then documentation speed is improved, but the complexity of editing and integrating information into EMRs increases
Solution Approach 1:
The patent introduces an intermediary system between speech recognition and EMR integration that automatically processes, validates, and maps dictated information to appropriate EMR fields. This mediator handles the complexity of data integration, allowing clinicians to benefit from fast speech documentation without directly managing the complex integration process.
Solution Approach 2:
The system enables self-service automation where the documentation platform automatically performs tasks such as information validation, field mapping, and EMR integration without requiring manual intervention. The system serves itself by autonomously handling the complex processes of converting speech to structured medical records.
2Measurement precision
If manual editing of note sections is allowed, then precision of patient information is improved, but the time required for documentation increases
Solution Approach 1:
The patent implements local quality by allowing clinicians to edit only specific portions of the dictated note rather than requiring review and editing of the entire document. This selective editing approach maintains precision where needed while minimizing the time investment required, as users can focus their attention only on sections requiring correction or verification.
3Loss of information
If comprehensive note sections with multiple fields are used, then completeness of patient information is improved, but the difficulty of detecting and measuring information increases
Solution Approach 1:
The patent applies segmentation by dividing comprehensive patient information into distinct, organized note sections and fields (e.g., chief complaint, history of present illness, assessment, plan). This structured segmentation makes it easier to detect, measure, and manage information completeness while maintaining overall comprehensiveness, as each segment can be independently verified and populated.
Data Source
AI summary
Systems and methods to accept speech input and edit a note upon receipt of an indication to edit are disclosed. Exemplary implementations may: effectuate presentation of a graphical user interface that includes a note, the note including note sections, the note sections including a first note section, the individual note sections including body fields; obtain user input from the client computing platform, the user input representing an indication to edit a first body field of the first note section; obtain audio information representing sound captured by an audio section of the client computing platform, the audio information including value definition information specifying one or more values to be included in the individual body fields; perform speech recognition on the audio information to obtain a first value; and populate the first body field with the first value so that the first value is included in the first body field.