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.

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Artificial intelligence automated measurements on an echocardiogram on the Siemens SyngoDynamics cardiovascular imaging and information solution. AI is helping speed workflows and complete tedious tasks faster and more accurately that humans, allowing sonographers and cardiologists to be more efficient. Photo by Dave Fornell

AI technologies to be featured heavily at ASE 2023

Artificial intelligence will be one of the hottest topics at the upcoming American Society of Echocardiography meeting in National Harbor, Maryland. 

PHOTO GALLERY: Cardiac technologies on display at HIMSS 2023

Click through a series of photos of cardiology-related technologies from the world's largest health IT conference.

KLAS 2023 rankings for cardiovascular information systems and hemodynamic solutions

Hospital end-users ranked the CVIS and hemodynamic systems they are using and shed light on their working relationships with IT vendors. 

The integration of artificial intelligence (AI) into radiology PACS and enterprise imaging systems has become a big topic of discussion with IT vendors over the past couple years. This has become a bigger question from hospitals and radiology groups as there are now about 400 radiology related AI algorithms that have U.S. Food and Drug Administration (FDA) clearance. Amy Thompson, a senior analyst at Signify Research, is monitoring AI trends in radiology and discusses trends.

Trends in the adoption and integration of AI into radiology workflows

Amy Thompson, a senior analyst at Signify Research, explains why AI adoption has been slow in radiology, common barriers and trends in the market.

An example of an FDA cleared radiology AI algorithm to automatically take a cardiac CT scan and identify, contour and quantify soft plaque in the coronary arteries. The Cleerly software then generates an automated report with images, measurements and a risk assessment for the patient. This type of quantification is too time consuming and complex for human readers to bother with, but AI assisted reports like this may become a new normal over the next decade. Example from Cleerly Imaging at SCCT 2022.

Legal considerations for artificial intelligence in radiology and cardiology

There are now more than 520 FDA-cleared AI algorithms and the majority are for radiology and cardiology, raising the question of who is liable if the AI gets something wrong.

Example of a cardiovascular information system (CVIS) cath lab reporting module with a coronary tree model that will auto complete sections of the report based on how the cardiologist modifies the model. Image from the ScImage booth at ACC 2022. Photo by Dave Fornell

VIDEO: 4 key trends in cardiovascular information systems, according to Signify Reseach

Signify Research shares the latest big trends in cardiovascular IT systems, including the role of EMR cardiology modules vs. third-party CVIS, structured reporting, integration into enterprise imaging and inclusion of ambulatory surgical centers. 

Ricardo Cury, MD, MBA, MSCCT, chairman of radiology, direct of cardiac imaging, Baptist Health South Florida and Miami Cardiac and Vascular Institute, discusses the new CAD-RADS 2.0 cardiac imaging reporting criteria at the 2022 SCCT meeting. Interview with Radiology Business Editor Dave Fornell.

VIDEO: What is new with CAD-RADS 2.0 cardiac imaging reporting?

Ricardo Cury, MD, chairman of radiology and director of cardiac imaging, Baptist Health South Florida and Miami Cardiac and Vascular Institute, discusses the new CAD-RADS 2.0 cardiac imaging reporting criteria.

Cardiovascular information systems (CVIS) combine imaging and reporting into one system that allows access across the cardiovascular service line. Here are 7 trends in CVIS according to KLAS.

VIDEO: 7 trends in cardiovascular information systems seen by KLAS

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, explains a few of the key technology trends in cardiovascular information systems (CVIS).

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Around the web

Health Imaging
Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Health Imaging
New imaging protocols proposed to curb rise of cardiovascular infections

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.

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