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What is Zelthy Platform?

The Zelthy Platform is a dynamic application framework tailored for organizations in the pharmaceutical and life sciences fields, empowering them to build, deploy, and oversee business applications along with AI-integrated workflows. Leveraging the open-source Zango framework, it provides an array of reusable templates, packages for workflows and CRUD operations, access controls tailored to specific roles, compliance with policy regulations, audit logging capabilities, support for multi-tenancy, and an environment for supervised AI agents. The platform’s preconfigured agent blueprints cater to a variety of tasks, such as patient enrollment, patient detection, adverse event monitoring, field visit validation, document handling, and compliance assurance. Development teams enjoy the freedom to augment the platform using Python and Django, all while retaining ownership of their application code, with deployment options spanning cloud, private cloud, on-premises, or hybrid configurations. Specifically designed for engineering and operations teams in the life sciences sector, it aims to facilitate application development that meets rigorous regulatory requirements. Moreover, the platform's extensive features not only streamline processes but also promote the integration of cutting-edge technologies into established workflows, enhancing overall operational efficiency. This versatility positions the Zelthy Platform as a pivotal tool for organizations striving for innovation and compliance in an increasingly complex industry landscape.

What is Veradigm Real-World Evidence?

The Veradigm Real-World Evidence (RWE) analytics platform serves as a cost-effective software-as-a-service solution specifically crafted for the thorough and effective examination of real-world data. Organizations in the fields of life sciences and clinical research utilize this platform to explore electronic health records (EHR) data in depth. By conforming to OMOP standards, the analytical platform boosts both the reliability and efficiency of real-world evidence generation. Utilizing Veradigm Network data allows users to conduct population analyses within minutes, create reusable patient cohorts that maintain consistent terminology across diverse data sources, and carry out repeatable retrospective studies. Furthermore, the platform is capable of analyzing any dataset that adheres to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), which includes data drawn from Veradigm Network EHR. This robust tool not only streamlines the research workflow but also significantly improves the quality of insights gained from real-world data, thereby facilitating better decision-making in healthcare. Ultimately, the platform represents a crucial advancement in harnessing real-world evidence for impactful outcomes in the medical field.

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Integrations Supported

Adobe Acrobat Sign
Amazon Web Services (AWS)
Docusign
Google Cloud Platform
Google Workspace
Microsoft 365
NiCE CXone Mpower
Oracle E-Business Suite
Oracle Fusion Cloud ERP
SAP S/4HANA
Snowflake
TraceLink
Twilio
Veeva CRM
Veeva Vault
Veeva Vault RIM
Zelthy Advanced Therapies
Zelthy Commercial Operations
Zelthy Compliance
Zelthy Traceability

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Zelthy

Date Founded

2017

Company Location

India

Company Website

www.zelthy.com/platform

Company Facts

Organization Name

Veradigm

Company Location

United States

Company Website

veradigm.com/evalytica-real-world-evidence-analytics/

Categories and Features

AI Agent Builders

Not specified

Life Sciences

Not specified

Categories and Features

Life Sciences

Not specified

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