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.

Amirsys, CAP align for pathology education

Amirsys and the College of American Pathologists (CAP) have formed a new partnership to jointly develop online educational products for pathologists.

September 14, 2011

Pa. hospital chooses DR Systems' CVIS

Armstrong County Memorial Hospital in Kittanning, Pa., has selected DR Systems' Unity CVIS to meet its cardiology department's CVIS needs.

April 5, 2011

Imaging Reaches for the Cloud

The surge in imaging study volume and pursuit of quality has yielded both tremendous benefits and contentious repercussions for patients, providers and payors. But behind the scenes, IT leadership is working on a cardinal issuewhere to store the ballooning number of studies and allow quick recall when needed.

January 27, 2011
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

CVIS: Improving Departments from Within

In the current era of healthcare reform, spawned by the funding made available in the HITECH Act of February's stimulus package, there has been much discussion about producing transparent and quantifiable data on the performance of various departments.

October 9, 2009
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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

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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