Technology | June 10, 2015

AG Mednet Introduces Longitudinal Analysis for Submission Quality & Compliance Module

New functionality automates consistency and validity of imaging data throughout a clinical trial

June 10, 2015 - AG Mednet announced a new automated software that checks data across subject visits, at the source. AG Mednet Longitudinal Analysis, now included in the AG Mednet Submission Quality & Compliance (SQC) trial management system, makes determinations about the consistency and validity of imaging data as a trial progresses.

The software improves the quality and speed of clinical trials by automating imaging data collection and trial protocols. This new functionality ensures images are consistently performed at the right time with the right equipment to the right specifications.

AG Mednet's SQC software immediately detects errors that result in query stoppages and allows users to verify information, automatically update support systems including electronic data capture (EDC), and dramatically reduce the amount of queries returned for correction or re-scanning.

The introduction of AG Mednet Longitudinal Analysis adds these key features:

  • Tracking and recording image thickness: AG Mednet tracks image thickness so radiologists can easily check if the next time point slice thickness is the same as the one previously acquired. This automated consistency of image slice thickness ensures adherence to trial protocols;
  • Automated calendaring for time-dependent trials: For trials that require patient imaging to occur at specific intervals, AG Mednet Longitudinal Analysis allows professionals to determine appropriate scanning timing at the source; and
  • Automated tracking for imaging equipment: The software tracks the specific piece of equipment used to ensure images are consistent and checks if the same scanner and software release is used for all patients.

For more information: www.agmednet.com

Related Content

Proton Therapy Lowers Risk of Side Effects Compared to Conventional Radiation
News | Proton Therapy | May 23, 2019
Cancer patients getting proton therapy instead of traditional photon radiation are at a significantly lower risk of...
VolparaDensity With Tyrer-Cuzick Model Improves Breast Cancer Risk Stratification
News | Breast Density | May 22, 2019
Research has demonstrated use of Volpara Solutions' VolparaDensity software in combination with the Tyrer-Cuzick Breast...
Partial Breast Irradiation Effective, Convenient Treatment Option for Low-Risk Breast Cancer
News | Radiation Therapy | May 20, 2019
Partial breast irradiation produces similar long-term survival rates and risk for recurrence compared with whole breast...
AI Detects Unsuspected Lung Cancer in Radiology Reports, Augments Clinical Follow-up
News | Artificial Intelligence | May 20, 2019
Digital Reasoning announced results from its automated radiology report analytics research. In a series of experiments...
New Study Evaluates Head CT Examinations and Patient Complexity
News | Neuro Imaging | May 17, 2019
Computed tomography (CT) of the head uses special X-ray equipment to help assess head injuries, dizziness and other...
Brain images that have been pre-reviewed by the Viz.AI artificial intelligence software to identify a stroke. The software automatically sends and alert to the attending physician's smartphone with links to the imaging for a final human assessment to help speed the time to diagnosis and treatment. Depending on the type of stroke, quick action is needed to either activate the neuro-interventional lab or to administer tPA. Photo by Dave Fornell.

Brain images that have been pre-reviewed by the Viz.AI artificial intelligence software to identify a stroke. The software automatically sends and alert to the attending physician's smartphone with links to the imaging for a final human assessment to help speed the time to diagnosis and treatment. Depending on the type of stroke, quick action is needed to either activate the neuro-interventional lab or to administer tPA. Photo by Dave Fornell.

Feature | Artificial Intelligence | May 17, 2019 | Inga Shugalo
With its increasing role in medical imaging,...
New Phase 2B Trial Exploring Target-Specific Myocardial Ischemia Imaging Agent
News | Radiopharmaceuticals and Tracers | May 17, 2019
Biopharmaceutical company CellPoint plans to begin patient recruitment for its Phase 2b cardiovascular imaging study in...
Videos | Advanced Visualization | May 16, 2019
This is an example of how virtual reality is being used in neuro-radiology to better evaluate patients using advanced
Managing Architectural Distortion on Mammography Based on MR Enhancement
News | Mammography | May 15, 2019
High negative predictive values (NPV) in mammography architectural distortion (AD) without ultrasonographic (US)...
Icon Launches New Clinical Trial Patient Engagement Platform
Technology | Patient Engagement | May 14, 2019
Icon plc announced the release of its web-based clinical trial patient engagement platform, to provide patients with...