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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.

What is AutoRedact?

Redacting is the process of removing certain types of information from documents, particularly sensitive details such as Social Security Numbers and financial account information. This procedure is especially vital for U.S. government publications to ensure that any classified data is thoroughly excised prior to public release. For attorneys, mastering redaction is crucial for maintaining the confidentiality of sensitive information. When documents are required for discovery, it is essential to meticulously eliminate any confidential material that is not subject to disclosure. AutoRedact provides an effective solution for this challenge by removing sensitive text, annotations, text form fields, vector graphics, and image data from PDF files, making them safe for distribution. The software is equipped with various powerful features that boost productivity, enable automated redaction, and accommodate multi-user environments, thereby enhancing the overall efficiency of safeguarding sensitive data. By implementing such a solution, organizations can better ensure compliance with legal standards while effectively protecting individual privacy. Additionally, the ability to automate these processes can significantly reduce the workload on staff, allowing them to focus on other important tasks.

Media

No images available

Media

Integrations Supported

Adobe Acrobat
Adobe Acrobat Reader

Integrations Supported

Adobe Acrobat
Adobe Acrobat Reader

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$149 one-time payment
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

Cloudbyz

Date Founded

2014

Company Location

United States

Company Website

www.cloudbyz.com

Company Facts

Organization Name

EverMap

Date Founded

1999

Company Location

United States

Company Website

evermap.com/AutoRedact.asp

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

Categories and Features

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Popular Alternatives

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