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What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

What is AutoNotes AI?

AutoNotes is a cutting-edge tool that leverages AI to streamline clinical documentation, making the generation of diverse therapeutic notes and treatment plans more efficient. Users can take advantage of customizable templates for progress notes, assessments, and treatment strategies, which aid in the careful tracking of patient interactions and treatment evolution. The platform allows for concise session summaries and offers dictation or live-recording capabilities through its transcription feature, ensuring that treatment objectives, methods, and evidence-based practices are seamlessly integrated. Additionally, users have the flexibility to personalize their documents with logos, clinician details, client names, diagnoses, session types, and visit duration. By revolutionizing clinical documentation practices, AutoNotes aims to conserve precious time, boost productivity, enhance reimbursement rates, and reduce staff turnover, ultimately freeing healthcare professionals to focus more on delivering exceptional patient care while maintaining precise records. This holistic approach to documentation not only optimizes workflow but also contributes to improved outcomes for patients, reinforcing the importance of effective record-keeping in healthcare settings. As a result, AutoNotes stands out as a vital resource for clinicians seeking to elevate their practice and patient care standards.

Media

Media

Integrations Supported

Azure Marketplace
Cloudflare
Google Chrome
Pentester
TAS Insight Engine
Unremot

Integrations Supported

Azure Marketplace
Cloudflare
Google Chrome
Pentester
TAS Insight Engine
Unremot

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$22 per month
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

azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Company Facts

Organization Name

AutoNotes AI

Company Location

United States

Company Website

autonotes.ai/

Categories and Features

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

Categories and Features

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