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What is Omda MedSciNet?

Omda MedSciNet solutions significantly improve the quality, usability, and management of medical data throughout its entire lifecycle, encompassing everything from data collection to analysis. This secure and standardized platform simplifies the process for clinical researchers and professionals in both healthcare and academic settings, facilitating the efficient gathering and analysis of well-structured medical data. The dedicated team at Omda is proficient in creating and managing tailored database applications, in addition to designing clinical studies specifically aimed at advancing medical research and quality registries. The Omda MedSciNet study platform provides a reliable, feature-rich, and highly flexible online environment that is ideal for hosting and managing intricate study and clinical trial systems. With a successful history of over two decades, Omda MedSciNet has adeptly supported studies and clinical trials of diverse scopes and sizes. Standard implementations include a wide range of essential components required for launching fully operational studies or trials, ensuring that researchers are equipped with all the necessary tools. This unwavering commitment to quality and customization not only enhances the user experience but also solidifies Omda MedSciNet's position as a frontrunner in medical data management, continuously evolving to meet the needs of the research community. By prioritizing innovation, Omda MedSciNet remains at the forefront of advancements in the healthcare data landscape.

What is Clinical Extract?

Clinical Extract can efficiently obtain research data from any electronic health record system that utilizes a certified bulk FHIR API, including well-known platforms such as Epic, Oracle Health (Cerner), athenahealth, eClinicalWorks, MEDITECH, NextGen, and Veradigm. The tool functions as a SMART Backend Services client within your existing infrastructure, employing read-only permissions and enabling the export of only the specified study group through a Group $export. It converts NDJSON into a detailed CSV format, complete with a data dictionary that correlates each column to its corresponding FHIR element, all while ensuring that patient data stays securely within your environment. Tailored specifically for cancer and clinical registries, it supports coded case and abstraction fields in line with the NAACCR layout and addresses the requirements of research informatics teams and ethical brokers by providing study-specific data collections alongside an IRB-compliant data dictionary. Additionally, it aids research sites in evaluating clinical trial feasibility based on established coded criteria. Among its key capabilities are a cohort builder, roster extraction using FHIR $match, and the creation of both the CSV and data dictionary, plus a specialized oncology perspective that highlights biomarkers and TNM stage as distinctly labeled columns for straightforward analysis. This holistic method significantly improves the accessibility and applicability of essential health data for a variety of research initiatives, thereby streamlining the overall research process. Ultimately, Clinical Extract serves as a vital resource for enhancing the efficiency and effectiveness of health data research.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Omda

Date Founded

1999

Company Location

Norway

Company Website

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

Company Facts

Organization Name

Saga IT

Date Founded

2016

Company Location

United States

Company Website

clinicalextract.com

Categories and Features

Categories and Features

Healthcare Analytics

Not specified

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