News | Information Technology | July 29, 2020

AG Mednet Launches Enhanced Clinical Trial Imaging Toolkit and DICOM Editing

 AG Mednet, a technology company streamlining, automating and increasing data quality for clinical trials, announces significant expansion to its Submission Quality and Compliance (SQC) Toolkit. The Judi-based integrated image quality control (QC) product functionality gives core laboratories, CROs and sponsors the most complete and powerful capability to manage site image submissions in record time.

July 29, 2020 — AG Mednet, a technology company streamlining, automating and increasing data quality for clinical trials, announced significant expansion to its Submission Quality and Compliance (SQC) Toolkit. The Judi-based integrated image quality control (QC) product functionality gives core laboratories, CROs and sponsors the most complete and powerful capability to manage site image submissions in record time. Judi is an AG Mednet technology platform designed and built from the ground up for the purpose of managing collaboration activities between different constituencies in the clinical trial ecosystem.

The growth of Judi's SQC toolkit, a component of every Judi // Imaging deployment, includes the newly released DICOM and exam editor which, as a first in the industry, provides powerful tools enabling advanced QC to be completed on medical image submissions. The configurable graphical editor enables not only the 21 CFR Part 11 compliant replacement of DICOM tag content with input validation but allows users to graphically reorganize instances and series throughout an exam, including the creation of new series and visual modification of series boundaries. Judi's DICOM and exam editor provides extensive exam navigation functions, undo capabilities, special features to handle PHI in a compliant manner and the ability to require electronic signatures for audit trail purposes.
Judi's entirely web-based and full featured-medical image viewer is also a component of the SQC toolkit and is integrated into the platform's powerful electronic case report forms (eCRF) system. With Judi // Imaging, radiologists and image reviewers have the ability to mark images and automatically complete eCRF fields. Through the robust intra-form workflow capability, clients can implement complex exam review processes that fit the particular needs of their trials.
"The combination of the newly released DICOM and exam editor together with its web-based viewer and the highly utilized SQC-based automated site-wide quality checks are the foundation of the first-in-market integrated approach to quality in trials using imaging data analysis," said Abraham Gutman, president and CEO of AG Mednet. "We are confident this upgrade will greatly enhance image management operations from the largest imaging CRO to the smallest clinical trial reading service as well as sponsors interested in ‘collect and hold' trials. Judi // Imaging manages clinical trial images through their entire lifecycle, in one platform that is all-inclusive and the proven system of choice."
For more information: www.agmednet.com

Related Content

Lesion was originally reported as indeterminate enhancing mass, and outside report recommended biopsy. Classic features of benign hemangioma are shown. Error was attributed to faulty reasoning. A, Axial MR image obtained 5 minutes after contrast agent administration shows peripheral nodular discontinuous enhancement. B, Axial MR image obtained 10 minutes after contrast agent administration shows centripetal progression of enhancement (arrow). C, Axial fast imaging employing steady-state acquisition (FIESTA)

Lesion was originally reported as indeterminate enhancing mass, and outside report recommended biopsy. Classic features of benign hemangioma are shown. Error was attributed to faulty reasoning. A, Axial MR image obtained 5 minutes after contrast agent administration shows peripheral nodular discontinuous enhancement. B, Axial MR image obtained 10 minutes after contrast agent administration shows centripetal progression of enhancement (arrow). C, Axial fast imaging employing steady-state acquisition (FIESTA) MR image shows lesion is homogeneously hyperintense compared with liver parenchyma. Image courtesy of American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

News | Magnetic Resonance Imaging (MRI) | October 21, 2020
October 21, 2020 — According to an artic...
Rensselaer, First-Imaging, and GE Global researchers develop a deep neural network to perform nearly as well as more complex dual-energy CT imaging technology
News | Computed Tomography (CT) | October 20, 2020
October 20, 2020 — Bioimaging technologies are the eyes that allow doctors to see inside the body in order to diagnos
The use of CT and X-ray in the assessment and treatment plan for President Trump underscores the critical role that medical imaging must play in the fight against COVID-19

A COVID-19 chest CT heat map from RADlogics

News | Artificial Intelligence | October 13, 2020
October 13, 2020 — Given recent high-profile cases of...
Visual technology company, EIizo, has showcased its work with the world-renowned National Gallery, after monitors from its ColorEdge product line were used to document and investigate part of its extensive collection.
News | Flat Panel Displays | October 08, 2020
November 8, 2020 — Visual technology company, EIizo, has showcased its work with the world-renowned...