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Description

Medcases 3.0 is a platform crafted by healthcare professionals specifically for their peers, aiming to improve patient care capabilities through innovative features and interactive case studies that are available at any time and on any device. This platform creates a secure environment for patient simulations, allowing users to practice their skills and build their confidence in patient care without the risks associated with real-world scenarios. By utilizing the platform, users can deepen their understanding of various diseases, symptoms, and anomalies via supplementary tests, enabling them to arrive at accurate diagnoses more swiftly and consistently, which ultimately enhances patient outcomes. Additionally, users familiarize themselves with a range of treatment options and learn their practical applications, allowing them to identify and rectify mistakes more effectively. As a result, healthcare professionals become more adept and assured, leading to improved patient care and a beneficial impact on the broader healthcare landscape. Furthermore, the Virtual Patient feature empowers users to refine their clinical abilities through immersive medical simulations, including conducting medical interviews that foster effective communication, thus leading to better patient interactions and outcomes. This comprehensive approach not only enhances individual skills but also promotes a culture of continuous learning and improvement within the healthcare community.

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

$9.99 per month
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

Medcases

Country

Poland

Website

medcases.io

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

Alternatives

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