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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.

What is Bright.md?

Improve access to top-tier healthcare while addressing the challenges faced by providers through the use of a premier asynchronous telehealth platform. This strategy not only saves time and resources but also cultivates patient loyalty and reduces the burden on healthcare workers. Bright.md's cutting-edge solution enables providers to address low-acuity concerns online, eliminating the need for immediate interactions, which in turn enhances patient satisfaction and leads to improved health outcomes. By integrating evidence-based clinical tools and fitting seamlessly into existing workflows, Bright.md automates administrative duties, allowing healthcare professionals to operate at peak efficiency. The platform features an interactive digital entry point and a user-friendly care experience that adapts through ongoing feedback from patients and providers, shaping our developmental approach. This innovative method streamlines the diagnosis and treatment of common health issues, significantly lowering the incidence of expensive and unnecessary emergency room or urgent care visits. Furthermore, it fosters a healthcare model that is more sustainable, benefiting both patients and providers, and ultimately paving the way for a healthier community. Enhanced communication and feedback loops also play a crucial role in refining the platform, ensuring it remains aligned with the evolving needs of those it serves.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Averbis

Date Founded

2007

Company Location

Germany

Company Website

averbis.com/health-discovery/speech2structure/

Company Facts

Organization Name

Bright.md

Date Founded

2014

Company Location

United States

Company Website

bright.md/

Categories and Features

Conversational AI

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

Data Extraction

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

Decision Support

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

Deep Learning

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

Electronic Medical Records (EMR)

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

Medical Transcription

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

Natural Language Processing

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

Speech Analytics

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

Speech Recognition

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

Categories and Features

Telemedicine

Appointment Reminders
Appointment Scheduling
Chat / Messaging
E-Prescribing
For Medical Purposes
HIPAA Compliant
Multi-Provider Practice
Online Forms
Patient Queue Management
Practice Management
Remote Treatment Plans
Teleradiology
Video Conferencing

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