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What is Suki?

We are revolutionizing the realm of healthcare technology by creating a seamless and supportive environment for users. Our innovative solution leverages advanced natural language processing and machine learning to deliver incredibly swift and accurate voice interactions. The AI developed by Suki is not only highly precise but also becomes smarter with each engagement. Physicians can finish their notes an impressive 76% faster by simply voicing them instead of manually writing them down. The Suki AI Assistant is attentive and records details with unparalleled accuracy, ensuring that all information is captured accurately. Additionally, there is a feature for enhanced review that allows users to rectify any mistakes or formatting issues. Data collected is carefully tagged to improve the machine learning model, enabling the Suki AI Assistant to learn and adjust according to the preferences of individual users. Once the notes are generated, they are forwarded to the physician for final review and approval. Suki understands the nuances of medical practices and effectively integrates the unique preferences of each doctor, allowing it to discern intent and choose the suitable terminology to produce high-quality documentation. Furthermore, Suki's functionality goes beyond simple note-taking, contributing to improved workflow efficiency within healthcare environments. This groundbreaking approach is ultimately designed to alleviate the administrative challenges that healthcare professionals frequently encounter, thereby allowing them to focus more on patient care. Our vision is to empower healthcare workers with technology that enhances their productivity and effectiveness.

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.

Media

Media

Integrations Supported

Oracle Health Ambulatory EHR

Integrations Supported

Oracle Health Ambulatory EHR

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

Suki

Date Founded

2017

Company Location

United States

Company Website

www.suki.ai/

Company Facts

Organization Name

Averbis

Date Founded

2007

Company Location

Germany

Company Website

averbis.com/health-discovery/speech2structure/

Categories and Features

Medical Transcription

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

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

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