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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 Qmarks Pathology Lab Reporting System?

Pathology Reporting Software effectively manages patient information in a laboratory setting. This application facilitates the entry of diagnostic test outcomes and prepares reports for individual patients. It also includes fundamental accounting features that streamline processes like patient billing and incentive calculations for physicians. Tailored to meet the requirements of both small and large pathology laboratories, it offers unlimited data storage by utilizing the maximum capacity of available hard drives. Users have the option to remove patient records selectively by date ranges or specific identifiers, and they can permanently erase older records if needed. Additionally, the software allows for easy access to Patient Test History, simplifying the review of past tests and results for regular clients. It boasts extensive reporting capabilities that cater to both doctors and management systems, ensuring all necessary reporting obligations for operational efficiency are met. Furthermore, the software supports concurrent use across various systems, which significantly boosts productivity in collaborative environments. This versatility makes it an indispensable tool for pathology practices aiming to enhance their workflow and patient care.

Media

Media

Integrations Supported

iMedEMR

Integrations Supported

iMedEMR

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$150 one-time payment
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

Qmarksoft

Company Website

qmarks.in/pathology_software.asp

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

Medical Lab

Audit Trail
Data Analysis Auditing
Data Security
EMR Interface
Fax Management
Lab Instrument Interface
Multi-Location Printing
Online Instrumentation
Physician Test Panels
Procedure-Based Billing
Sample Tracking

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