Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

BEKhealth provides an innovative clinical research platform, known as the BEKplatform, which leverages artificial intelligence to streamline the extraction, interpretation, and standardization of both structured and unstructured electronic medical record data, encompassing various elements such as lab results, diagnoses, physician notes, pathology reports, and PDFs. This integrated system creates a searchable, longitudinal patient graph designed to assist life sciences and healthcare organizations in swiftly pinpointing protocol-eligible patients while enhancing trial feasibility, site selection, and recruitment processes. By utilizing advanced deep learning techniques and natural language processing, BEKhealth transforms chaotic clinical data into precise, actionable insights, allowing for the generation of sophisticated queries and patient cohorts. This method not only identifies more qualified candidates compared to traditional manual chart reviews but also provides real-time reports and dashboards that facilitate informed decision-making across research networks, ultimately improving the efficiency and effectiveness of clinical trials. The ability to generate these insights in real-time is a game-changer for organizations striving to maximize their research potential.

Description

In the course of patient treatment, physicians typically dedicate around two-thirds of their time to documenting care instead of focusing on examinations or engaging in patient discussions. To enhance the time doctors can allocate to patient interaction, Averbis is developing Speech2Structure, an innovative software solution that captures documentation in real-time through voice input and organizes it immediately. This system is adept at accurately identifying and addressing various linguistic nuances, including negations and different types of diagnoses, as it processes information. Additionally, it translates pathological lab results and microbiology findings into relevant diagnoses, further streamlining the documentation process. Moreover, the medications noted during consultations can also offer significant insights regarding potential diagnoses, thereby enriching the overall clinical picture.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

BEKhealth

Founded

2020

Country

United States

Website

www.bekhealth.com

Vendor Details

Company Name

Averbis

Founded

2007

Country

Germany

Website

averbis.com/health-discovery/speech2structure/

Product Features

Product 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

Alternatives

Ember Reviews

Ember

MetiStream

Alternatives

Deep Lens VIPER Reviews

Deep Lens VIPER

Deep Lens