Clinical Data Parsing for Dictation Systems
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Solution Overview
Problem
Current methods for transferring clinical data from modalities to dictation systems are inefficient, leading to transcription errors and time-consuming manual processes, particularly with HL7 content that requires pre-processing and manual dictation.
Innovation Solution
A system and method that parses and normalizes clinical data from various sources, using user-configurable formatting templates to automatically populate report templates in dictation systems, reducing the need for manual transcription and enhancing data transfer efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual dictation process is used to transfer clinical data from modalities to reporting tools, then data can be transferred, but transcription errors occur and the process is time-consuming
Solution Approach 1:
The patent replaces the manual mechanical dictation process with an automated electronic data transfer system. The sending application automatically extracts clinical data from modalities, formats it according to templates, and transmits it to the dictation system, eliminating the need for manual transcription and reducing both time and errors.
Solution Approach 2:
The patent introduces a formatting template as an intermediary between the modality data and the dictation system. This template serves as a standardized interface that automatically structures the clinical data, ensuring accurate transmission without manual intervention while maintaining compatibility with the dictation system's requirements.
2Productivity
If HL7 content is manually processed and dictated, then data can be transferred, but the process requires extensive pre-processing and manual intervention
Solution Approach 1:
The patent performs preliminary formatting and structuring of HL7 data within the sending application before transmission. The formatting template pre-processes the clinical data by identifying relevant fields, organizing them according to the dictation system's requirements, and preparing them for automatic transmission, thereby eliminating the need for complex manual pre-processing at the receiving end.
3Productivity
If automated data transfer is implemented, then transcription errors are reduced, but data formatting and template matching complexity increases
Solution Approach 1:
The patent creates a universal formatting template that can handle multiple types of clinical data from different modalities through a single standardized interface. This template serves multiple functions by automatically extracting, formatting, and structuring various data types (measurements, observations, results) according to consistent rules, thereby simplifying the automation process rather than complicating it.
Data Source
AI summary
A system and method of transferring data generated at a data source to a dictation system for use by the dictation system to generate reports are disclosed. One example method includes parsing the data to retrieve values from the data that match a field in a formatting template. The matching values are then normalized based on format settings configured in the formatting template. A range of values may be added to one or more fields in the formatting template. For values that match the fields associated with the range of values, it is determined if the values fall outside the range of values. Upon positive determination, the values may be further formatted by adding an indicator marking that the values are out of bounds from the range of values. The formatted values are then sent to the dictation system for use by the dictation system in generating reports.