CD-in v2, the Simple and Automatic Way to Import Media

ETIAMExternal study import becomes an increasing challenge for some institutions where external studies outnumber those produced internally. To address this demanding import workflow ETIAM releases a new version (v2) of CD-in, a small footprint application for importing images on CDs/DVDs or other media from outside institutions, into a PACS. Improved productivity, enhanced user interface for accurate selection, and extended range of supported media are the prime enhancements of this new version.

"With each new release, we complement the software application with features drawn from field experience and user feedback," said Olivier Boulland, Chief Marketing Officer. "CD-in can be deployed at registration desks, in the film room or any other place where prior studies on media need to be imported into the PACS of the institution."

External studies are quickly imported using configurable matching criteria and rules. Patient demographics and IDs for external images are automatically reconciled to make them consistent with internal patient demographics and IDs. It significantly optimizes the integration of outside images into a PACS. It also reduces to a minimum the time spent on the import workflow while allowing for the flexibility required to handle various import contexts.

Related news articles:

About ETIAM
ETIAM is a worldwide leader providing connectivity and interoperability solutions for the medical imaging industry. The company's expertise on international healthcare standards such as DICOM, HL7 and IHE profiles, uniquely positions it to provide both development toolkits 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, visit www.etiam.com.

Most Popular Now

Digital ECGs at Barts Health: A High-Imp…

Opinion Article by Dr Krishnaraj Sinhji Rathod, consultant in interventional cardiology, Barts Health NHS Trust. Picture the moment. A patient in an ambulance, enroute to hospital with new chest pain. Paramedics...

Study Sheds Light on Hurdles Faced in Tr…

Implementing artificial intelligence (AI) into NHS hospitals is far harder than initially anticipated, with complications around governance, contracts, data collection, harmonisation with old IT systems, finding the right AI tools...

Using Deep Learning for Precision Cancer…

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in Nature Communications, the...

New AI Approach Paves Way for Smarter T-…

Researchers have harnessed the power of artificial intelligence (AI) to tackle one of the most complex challenges in immunology: predicting how T cells recognize and respond to specific peptide antigens...

Study Used AI Models to Improve Predicti…

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the...

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...