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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.

What is Ember?

Transform your scattered health information into a cohesive and accessible format with an interactive AI and NLP platform that delivers critical health insights for a diverse range of stakeholders. This cutting-edge technology benefits Providers by expediting the data abstraction process and validating clinical information within notes, which in turn reduces the time and expenses linked to pinpointing care gaps, evaluating care quality through dashboards, and generating registry reports. For Payers, it enhances the integration and analysis of claims data alongside clinical notes, thereby improving the management of high-risk and high-cost member populations. In the Life Sciences sector, this solution accelerates patient matching for clinical trials by utilizing both databases and clinical note data, effectively tapping into the potential of real-world clinical evidence. Ember seamlessly combines NLP with predictive analytics, optimizing healthcare analytics for unstructured data to enhance quality, efficiency, and outcomes throughout the healthcare system. Consequently, stakeholders are empowered to make well-informed decisions that not only elevate patient care but also optimize resource allocation for better healthcare delivery. Ultimately, this holistic approach fosters a more connected and efficient healthcare ecosystem.

Media

Media

Integrations Supported

Chromosis CRM
CodeKeep
Dragit
nTireLegal

Integrations Supported

Chromosis CRM
CodeKeep
Dragit
nTireLegal

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

Omda

Date Founded

1999

Company Location

Norway

Company Website

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

Company Facts

Organization Name

MetiStream

Company Location

United States

Company Website

www.metistream.com

Categories and Features

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)

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