Audience

Businesses looking for a powerful AI speech recognition software that helps transcribe their words

About Speech2Structure

When treating a patient, doctors spend on average two-thirds of their time documenting the treatment and far less time on examinations or patient interviews. To allow doctors to spend more time with their patients, Averbis is working on Speech2Structure – a software solution where the documentation is recorded live by voice and structured on-the-fly. Speech2Structure can correctly recognize and resolve many linguistic variations such as negations, suspected diagnoses, diagnoses that have taken place, etc. when recognizing diagnoses. Pathological laboratory values or microbiology results are also converted into corresponding diagnoses. The recorded medications can also provide clues to diagnoses.

Integrations

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Company Information

Averbis
Founded: 2007
Germany
averbis.com/health-discovery/speech2structure/

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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
Phone Support
Online

Speech2Structure Frequently Asked Questions

Q: What kinds of users and organization types does Speech2Structure work with?
Q: What languages does Speech2Structure support in their product?
Q: What kind of support options does Speech2Structure offer?
Q: What type of training does Speech2Structure provide?

Speech2Structure Product Features

Conversational AI

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

Data Extraction

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

Decision Support

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

Deep Learning

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

Electronic Medical Records (EMR)

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

Medical Transcription

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

Natural Language Processing

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

Speech Analytics

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

Speech Recognition

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