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What is Exigyn?

To effectively mold the future, it is essential to take decisive actions in its creation. Exigyn provides instant access to a financial analyst, making it easy to manage your needs. You can conveniently design clinical trial scenarios, assess the sustainability of cash flows, and still savor your dinner without a hitch. By leveraging key performance indicators such as patient enrollment rates, site efficiency, and per-patient costs, you can improve your trial expenses significantly. Implement our extensive multidimensional database for precise tracking, including detailed records of individual vendors. With just one click, you can seamlessly modify financial forecasts, budgets, departmental frameworks, project listings, charts of accounts, and overall expenditures. Streamline your workforce planning by aligning staff levels with clinical targets and refining your organizational structure. With intuitive tools available to monitor job roles, salary ranges, and projected new hires, you can confidently prepare for the challenges ahead. Additionally, our solution features real-time data capabilities that automate clinical accrual processes, enabling you to save precious time and resources while prioritizing what truly matters. Take charge of the future of financial management and make well-informed choices today, paving the way for greater success.

What is Amazon Comprehend Medical?

Amazon Comprehend Medical is an NLP service designed to adhere to HIPAA standards, employing machine learning to extract health information from medical documents without necessitating any prior expertise in machine learning from its users. A vast amount of healthcare data is found in unstructured formats, such as physicians' notes, clinical trial reports, and patient histories. Relying on traditional, manual methods for data extraction is not only time-consuming but also prone to errors, as rule-based automation often fails to capture essential contextual details, resulting in incomplete data retrieval. This lack of reliability can significantly undermine the effectiveness of large-scale analytics, which are critical for advancements in the healthcare and life sciences industries, ultimately impeding potential enhancements in patient care and operational effectiveness. By utilizing this sophisticated service, healthcare organizations can gain invaluable insights and improve their decision-making capabilities, ultimately leading to better outcomes for patients. This transformative approach represents a significant leap forward in how health data can be leveraged for greater efficiency and efficacy in medical practices.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
Google Sheets
Microsoft Excel

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
Google Sheets
Microsoft Excel

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

Exigyn

Date Founded

2023

Company Location

United States

Company Website

exigyn.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/comprehend/medical/

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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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