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What is ZAIDYN?

ZAIDYN is an advanced, cloud-based solution developed by ZS, designed to revolutionize the life sciences industry. This pioneering platform integrates advanced analytics, machine learning functionalities, and intelligent workflows to assist organizations in optimizing their research and development, commercialization, and patient engagement processes. With its modular design, ZAIDYN provides adaptable solutions that can be tailored to fit a variety of needs, allowing for seamless integration with existing IT infrastructures due to its open architecture. By offering unified, high-quality data and actionable insights, the platform promotes improved collaboration among various departments, reducing operational silos and fostering more strategic decision-making. Emphasizing security and compliance, ZAIDYN ensures data privacy and adheres to regulatory requirements, positioning itself as a reliable choice for life sciences enterprises aiming to drive innovation and improve health outcomes. Its extensive capabilities empower organizations to effectively address the challenges of the industry, ultimately enhancing their overall operational efficiency and effectiveness. This makes ZAIDYN not just a tool, but a strategic partner in the pursuit of excellence within the life sciences domain.

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

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend

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

ZS

Date Founded

1983

Company Location

United States

Company Website

www.zs.com/zaidyn-platform

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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