Imaging Informatics

Imaging informatics (also known as radiology informatics, a component of wider medical or healthcare informatics) includes systems to transfer images and radiology data between radiologists, referring physicians, patients and the entire enterprise. This includes picture archiving and communication systems (PACS), wider enterprise image systems, radiology information. systems (RIS), connections to share data with the electronic medical record (EMR), and software to enable advanced visualization, reporting, artificial intelligence (AI) applications, analytics, exam ordering, clinical decision support, dictation, and remote image sharing and viewing systems.

Cloud data storage is enabling new efficiencies in healthcare and radiology.

The Next Frontier: Cloud Storage

Data are growing in size and scope. Radiology departments and imaging centers face unprecedented bandwidth challenges that stem from the need to store exponentially growing datasets. With bandwidth costs increasing and servers consuming valuable square footage, radiology is on the lookout for a new solution. Cloud storage may fit the bill.

November 4, 2010

Digital pathology added to DICOM standards

The College of American Pathologists (CAP) has contributed to the expansion of the Digital Imaging and Communications in Medicine (DICOM) medical image exchange standard, Supplement 145, for the accommodation of pathology.

September 17, 2010

Cloud Computing: The Forecast for Image Management

Cloud computing technology—a market that Merrill Lynch values at $95 billion over the next five years—has recently begun to move  into healthcare. However, questions remain about how facilities and departments, including radiology, will fully take advantage of these zero footprint solutions.

March 25, 2010
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CVIS, Cardiology PACS Widening Image Access

For cardiology PACS, the explosion of cardiac-related advances across imaging modalities has created demand for expanded capabilities beyond simple image storage and distribution, providing physicians with access to patient-specific information related to images and reports within the facility or externally. Meanwhile, with this increased volume of image data, cardiologists also need to have access to more extensive patient data, such as hemodynamic monitoring, EKG and electronic medical record (EMR) information to create structured reports.

March 11, 2009

Around the web

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

"I see, at least for the next decade, this being a SPECT and PET world, not one or the other," explained Tim Bateman, MD.

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

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