What is Speech2Structure?

During patient care, it has been observed that physicians often spend approximately two-thirds of their time on documentation rather than on conducting examinations or engaging in meaningful conversations with patients. To address this issue and allow doctors to focus more on patient interactions, Averbis is creating Speech2Structure, a cutting-edge software solution that captures documentation in real-time using voice input while organizing it instantly. This innovative system is skilled at recognizing and addressing various linguistic subtleties, such as negations and diverse diagnostic categories, as it processes the incoming information. Furthermore, it efficiently converts pathological laboratory results and microbiological findings into applicable diagnoses, thereby simplifying the documentation workflow. In addition, the medications mentioned during patient consultations can provide valuable insights into possible diagnoses, which enhances the overall clinical understanding. Ultimately, by reducing the documentation burden, this tool aims to improve the quality of patient care delivered by physicians.

Integrations

No integrations listed.

Screenshots and Video

Company Facts

Company Name:
Averbis
Date Founded:
2007
Company Location:
Germany
Company Website:
averbis.com/health-discovery/speech2structure/

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Video Library
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Speech2Structure Categories and Features

Speech Recognition Software

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

Speech Analytics Software

Automatic Transcription
Call Center Management
Call Recording
Customer Experience Management
Data Security
Natural Language Processing
Predictive Analytics
Self-Service Search
Sentiment Analysis
Surveys & Feedback

Natural Language Processing Software

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Medical Transcription Software

Abbreviation Expansion
Archiving & Retention
Audio File Management
Audio Transmission
Customizable Macros
Transcription Reporting
Voice Capture
Voice Recognition

Electronic Medical Records (EMR) Software

Appointment Management
Charting
Compliance Tracking
E-Prescribing
E/M Coding
HIPAA Compliant
Handwriting Recognition
Integrated Telehealth
MIPS Certified
Meaningful Use Certified
ONC-ATCB Certified
Patient Portal
Self Service Portal
Voice Recognition

Deep Learning Software

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Decision Support Software

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

Data Extraction Software

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Conversational AI Platform

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant