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What is LARVOL CLIN?

The LARVOL CLIN platform provides an extensive array of AI-powered data analytics and intelligence tailored for oncology and drug development professionals, integrating more than 100,000 cancer clinical trials alongside detailed outcomes, digitized Kaplan-Meier curves, forest plots, and real-time social media commentary from a community of over 5,000 oncologists. Users gain access to a cohesive interface that facilitates searches based on condition, intervention, or trial ID, enriched by expert-curated insights and visually appealing dashboards that enhance decision-making. Moreover, the platform includes functionalities such as conference tracking, comprehensive databases for biomarkers and diagnostics, and in-depth market intelligence reports collected from upwards of 25,000 sources, including regulatory agencies, clinical trial registries, and various scientific conferences. This tool is specifically designed to assist pharmaceutical and biotech teams in interpreting trial results, identifying trends, understanding mechanisms of action, and pinpointing biomarkers within disease pipelines, utilizing sophisticated search filters, heat maps, and real-time notifications. By adopting this all-encompassing strategy, users are ensured that they remain knowledgeable and prepared to make insightful choices amid the fast-paced advancements in the field. Ultimately, LARVOL CLIN stands out as an indispensable resource for those navigating the complexities of oncology research and drug development.

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

Alignable

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

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

LARVOL

Date Founded

2004

Company Location

United States

Company Website

www.larvol.com

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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