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What is Provation?

Many healthcare institutions, such as hospitals and ambulatory surgery centers (ASCs), encounter significant difficulties in efficiently documenting medical procedures. The various techniques employed by doctors for recording information—including dictation, transcription, and electronic medical records (EMRs)—often result in inconsistencies, leading to procedure notes that can be imprecise, incomplete, or non-compliant with established standards. As a result, these documentation efforts frequently create reports that are not searchable and challenging to analyze, primarily due to their dependence on unstructured data. Additionally, inefficient workflows can lead to financial losses and heightened frustration among healthcare providers. To tackle these challenges, a proposed solution offers an intuitive workflow navigation tree that assists physicians in quick documentation by presenting relevant options. This innovative system not only helps organizations meet quality and compliance metrics by allowing the generation of over 100 reports and facilitating the analysis of structured data, but it also integrates with endoscopy scopes for capturing pertinent images that can be included in procedure notes. By enhancing the documentation process in this way, the approach significantly streamlines operations and elevates the quality of patient care through more complete and accurate record-keeping. Ultimately, adopting such a system may lead to improved workflow efficiency and better overall patient outcomes.

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.

Media

Media

Integrations Supported

Azure Marketplace
TAS Insight Engine
Unremot

Integrations Supported

Azure Marketplace
TAS Insight Engine
Unremot

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

Provation Medical

Date Founded

1994

Company Location

United States

Company Website

www.provationmedical.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Categories and Features

Patient Case Management

Activity Tracking
Assessment Notes
Billing & Invoicing
Calendar Management
Candidate Identification
Case List Management
Eligibility Verification
HIPAA Compliant
Medical History Records
Patient Records
Referral Management
Treatment Planning

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

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