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What is Microsoft Dragon Copilot?

Microsoft's Dragon Copilot is an advanced AI-driven tool designed to improve clinical workflows by automating documentation, thereby reducing the burden of administrative tasks. By integrating smoothly with the Microsoft Cloud for Healthcare, it empowers healthcare practitioners to create accurate documentation based on their interactions with patients. This cutting-edge solution supports multiple languages and remains effective even without internet connectivity, allowing for the collection of patient data and its conversion into specialty-specific notes. Furthermore, Dragon Copilot leverages AI technology to suggest improvements for clinical interactions, automatically completes orders, and enables clinicians to search through notes to access medical information, ultimately boosting both the efficiency of operations and the standard of patient care. Its adaptability to the unique requirements of healthcare professionals positions Dragon Copilot to transform the management of clinical documentation significantly. As a result, healthcare providers can focus more on patient care rather than administrative duties, leading to better outcomes for both clinicians and patients alike.

What is ClinicalWave.ai?

ClinicalWave.ai, hosted on the AWS cloud infrastructure, is a comprehensive AI solution tailored for companies in the life sciences sector. Leveraging advanced natural language processing (NLP) technology, it efficiently extracts crucial insights while automating the removal and extraction of sensitive information from clinical documents. The platform comprises several key components: 1. ClinRedact AI - This redaction tool automatically detects and eliminates sensitive content from clinical records, significantly conserving time while ensuring the integrity of the data. 2. ClinExtract AI - This data extraction solution employs NLP and machine learning algorithms to gather important data from clinical documents, enhancing insights and optimizing operational workflows. 3. ClinDICOM AI - Explore the capabilities of our DICOM data extraction tool, which features targeted redaction, customizable rules, intelligent context analysis, compliance with audit trails, and an intuitive user interface. With these innovative tools, ClinicalWave.ai empowers life sciences companies to handle their clinical documents with greater efficiency and security.

Media

Media

No images available

Integrations Supported

Microsoft Cloud for Healthcare

Integrations Supported

Microsoft Cloud for Healthcare

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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.microsoft.com/en-us/health-solutions/clinical-workflow/dragon-copilot

Company Facts

Organization Name

Cloudbyz

Date Founded

2014

Company Location

United States

Company Website

www.cloudbyz.com

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

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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

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