Automation, Image Processing, HD Capture and Enhanced Productivity for Wider Usage

ETIAMETIAM has released a new version (3.40) of DICOM Izer, a powerful solution for capturing, converting and distributing non DICOM images to PACS. Improved productivity and conformance to connectivity and interoperability standards are the prime enhancements of this new version.

Automatic operation allows selecting patients, capturing images and sending to the PACS in a flash. For more accurate image rendering, DICOM Izer includes several native processing tools. In addition, DICOM Izer supports both connected and roaming operation that allows user to leverage the solution across multiple examination rooms.

To eliminate data entry errors and ensure traceability, DICOM Izer retrieves patient information from databases through a DICOM Worklist connection. As an alternative, DICOM Izer supports the IHE Patient Demographics Query (PDQ) profile, which allows direct connection to HIS applications.

In addition to supporting still and motion video and audio capture in standard definition, DICOM Izer supports capture from HD video sources. Images and cine files may be distributed in standard multimedia format on various media, with or without PACS connectivity.

DICOM Izer implementations are found in: dermatology, endoscopy, fluoroscopy, speech pathology (swallow studies), radiology and mammography.

Related news article:

About ETIAM
ETIAM is a worldwide leader providing connectivity and interoperability solutions for the medical imaging expertise on international healthcare standards such as DICOM, HL7 and IHE profiles, uniquely positions it to provide both development tool kits for OEMs and software solutions for hospitals and medical facilities that can be implemented throughout the world. ETIAM product portfolio focuses on importing, manipulating, displaying and distributing medical images along with relevant clinical data for integration with PACS and HIS applications. For more information, please visit www.etiam.com.

Most Popular Now

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

Forging a Novel Therapeutic Path for Pat…

Rett syndrome is a devastating rare genetic childhood disorder primarily affecting girls. Merely 1 out of 10,000 girls are born with it and much fewer boys. It is caused by...

Integrating Care Records is Good. Using …

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion. A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...