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What is Truveta?

Truveta functions as a health data and analytics platform aimed at utilizing information to improve patient experiences. By aggregating de-identified electronic health records from over 30 different healthcare systems, it offers researchers a comprehensive selection of patient data, encompassing clinical notes, imaging, and genomics. This extensive database encompasses information from more than 120 million patients, providing a well-rounded view of healthcare practices across the United States. The Truveta Studio acts as the analytics core of the platform, providing researchers with advanced tools such as notebooks and dashboards, all while ensuring compliance with HIPAA regulations. With its commitment to real-time data, the platform updates its information daily, ensuring that insights into patient care and health outcomes remain relevant and up-to-date. In addition, Truveta emphasizes the importance of data accuracy through its deployment of the Truveta Language Model, an innovative AI framework that adeptly converts EHR data into exact and dependable data points for medical research enhancement. This unwavering focus on data integrity not only boosts research capabilities but also cultivates a deeper comprehension of healthcare trends and the needs of patients, ultimately leading to better health results and improved care strategies. As a result, Truveta significantly contributes to the ongoing evolution of healthcare analytics and patient care improvement.

What is Omda Compos?

The successful assessment of pharmaceutical treatments and their associated protocols relies heavily on the efficient collection and dissemination of comprehensive, timely, and high-quality information. In response to this need, the Omda Compos suite has been meticulously designed to optimize the management and seamless sharing of medical data within the clinical environment. This state-of-the-art platform ensures that both users and applications engaged in clinical trials and registries can quickly access essential information, thereby promoting enhanced collaboration and effective utilization of data. Central to the Compos platform is the Omda Compos QR, which incorporates an advanced database architecture, data warehousing capabilities, user management features, and other fundamental components that maintain data integrity from the initial collection stage through to analysis. It is essential to uphold streamlined user access and efficient logging practices for any clinical registry or trial. The Omda Compos QR delineates user roles to manage access to specific sites, which further bolsters security and governance over the data management lifecycle. By focusing on these critical elements, the platform not only aids researchers but also elevates the standard of clinical data management. Furthermore, the integration of these functionalities ensures a more robust, reliable framework for advancing clinical research.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Truveta

Date Founded

2020

Company Location

United States

Company Website

www.truveta.com

Company Facts

Organization Name

Omda

Date Founded

1999

Company Location

Norway

Company Website

omda.com/solutions/health-analytics/omda-compos/

Categories and Features

Categories and Features

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