Mobile Voice Transcription for Real-Time EHR Form Population
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Solution Overview
Problem
Traditional electronic medical record systems are immobile, making it difficult for physicians to efficiently and accurately record treatment information while interacting with patients, and are cumbersome and time-consuming to navigate.
Innovation Solution
The development of systems and methods that allow real-time patient record transcription and medical form population via mobile devices, enabling physicians to vocally dictate healthcare information while administering care, with the mobile device detecting, recording, and transmitting this information for real-time transcription and automatic insertion into electronic health records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional electronic medical record systems are used, then data can be recorded, but the systems are immobile and prohibit physicians from interacting with patients while simultaneously recording treatment information
Solution Approach 1:
The patent transforms the static, immobile EHR system into a dynamic mobile system by implementing the EHR application on mobile devices (smartphones, tablets). This allows the system to move with the physician throughout the patient care environment, enabling simultaneous patient interaction and documentation without requiring the physician to return to a fixed workstation.
Solution Approach 2:
The patent replaces the traditional mechanical/desktop-based EHR system with a mobile computing platform. By substituting the fixed mechanical computer system with mobile devices equipped with microphones, processors, and wireless communication capabilities, the system achieves both mobility and automated transcription functions.
2Productivity
If physicians manually type information into EHR systems, then records can be created, but the process is time consuming and cumbersome
Solution Approach 1:
The patent replaces manual typing (mechanical keyboard input) with voice-based dictation captured by the mobile device's microphone. The speech-to-text conversion system automatically transcribes spoken words into structured EHR entries, eliminating the need for manual keyboard typing and significantly reducing data entry time.
Solution Approach 2:
The system enables self-service transcription by capturing and processing the physician's own voice directly. The mobile device records the physician's dictation and the integrated speech-to-text system automatically converts it into formatted medical records without requiring external transcription services or manual data entry assistance.
3Adaptability or versatility
If EHR data is translated between formatting standards, then compatibility between systems is achieved, but the process requires saved records of translation rules which becomes cumbersome
Solution Approach 1:
The patent introduces a standardized data exchange interface that acts as an intermediary between different EHR systems. By establishing a common translation layer with predefined mapping rules, the system enables seamless data exchange between heterogeneous EHR platforms without requiring complex, system-specific translation rule sets to be maintained by end users.
Data Source
AI summary
Systems and methods for real-time patient record transcriptions and medical form population via mobile devices are described. A user (e.g., a medical professional) may speak into or near a mobile device operable to detect or record spoken language, and furthermore the mobile device may initiate real-time transcription of the spoken language to generate unstructured transcription text data corresponding to the spoken language. The unstructured transcription text data may be parsed for words or phrases indicative of medical information for generating structured data, where the structured data includes terms, phrases, and values identified via delineators and/or natural language processing techniques. Discrete data from the structured data may be directly inserted into corresponding locations (e.g., appropriate medical form text fields) in electronic medical records via APIs and service bus relays.