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

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...