Enterprise Imaging

Enterprise imaging brings together all imaging exams, patient data and reports from across a healthcare system into one location to aid efficiency and economy of scale for data storage. This enables immediate access to images and reports any clinical user of the electronic medical record (EMR) across a healthcare system, regardless of location. Enterprise imaging (EI) systems replace the former system of using a variety of disparate, siloed picture archiving and communication systems (PACS), radiology information systems (RIS), and a variety of separate, dedicated workstations and logins to view or post-process different imaging modalities. Often these siloed systems cannot interoperate and cannot easily be connected. Web-based EI systems are becoming the standard across most healthcare systems to incorporate not only radiology, but also cardiology (CVIS), pathology and dozens of other departments to centralize all patient data into one cloud-based data storage and data management system.

Global PACS, RIS & CVIS Markets to Exceed $4.5 Billion by 2016

InMedica forecasts the world market for PACS, RIS, and CVIS to grow by more than $1 billion over the next 5 years.

October 15, 2012
Radiologists need to stop using ther term "Clinically Correlate" and be more specific in reports. This term has become a joke among clinicians who see it as clinically meaningless.

If Clinically Indicated, Clinically Correlate

Radiologists are clinicians consultants. We direct clinical management based on our expert interpretation of patient images. Yet, in many cases, radiology reports may not reflect our clinical expertise. Common problems include overuse of vague terminology and omission of the impression. Addressing these flaws can go a long way toward meeting clinicians needs and improving patient care.

December 15, 2011

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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