CVIS

Cardiovascular information systems (CVIS) include electronic reporting systems for all aspects of the cardiovascular service line. These health informatics systems often incorporate cardiac PACS and reporting systems for echocardiography, cath lab, cardiac surgery, electrophysiology (EP), ECG and diagnostic testing. Today, these systems are often web-enabled or web-based and integrated tightly with a healthcare system's electronic medical record (EMR).

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. 

February 1, 2023
Examples of new plaque reporting in the CAD-RADS 2.0 document. Left, an example from CAD-RADS 2 / P2 plaque burden with mild coronary stenosis (25-49%). Right, example of a CAD-RADS 5/ P3, with a focal, non-calcified occlusion of the proximal RCA (arrow) and severe amount of plaque (P3). #CADRADS #YesCCT #CTA #CCTA

New CAD-RADS 2.0 reporting for coronary CTA offers patient management recommendations

The document includes updated classification to established a framework for stenosis, plaque burden and plaque modifiers, including assessment of CT-FFR or myocardial CT perfusion.

July 8, 2022
DiA Imaging Analysis, which specialized in developing the AI-based automated cardiac ultrasound solution LVivo Seamless. The technology is now integrated through partnerships with dozens of healthcare vendors, including ScImage, GE Healthcare, Philips Healthcare Konica Minolta and IBM Watson.

ScImage latest vendor to adopt DiA Imaging Analysis AI for echocardiography

Artificial intelligence vendor DiA has emerged as a key third-party provider of AI to larger imaging vendors.

June 7, 2022
The ASNC is one of several medical imaging societies asking Congress to repeal the appropriate use criteria (AUC) criteria mandate. They say it poses issues for clinicians and is becoming outdated by changes in CMS payment systems. The AUC requirements call for documentation using CVMS authorized software in order to show advanced imaging such as nuclear and CT is justified, or else Medicare payments might be withheld.

American Society of Nuclear Cardiology urges Congress to speed prior authorizations, repeal AUC mandate 

Over the past few weeks, members of ASNC’s Health Policy Committee have held meetings with their members of Congress.

April 18, 2022
Sectra PACS was named Best in KLAS in 2022 based on customer feedback.

Hospitals share top health IT vendors to work with in the Best in KLAS 2022 list

KLAS Research's 2022 report covers more than 1,000 health IT informatics solutions focused on EMRs, staffing, revenue cycle management, patient portals, and more.

February 17, 2022

CAD-RADS a ‘big step in the right direction’ toward improving outcomes for acute chest pain

Korean researchers tested the Coronary Artery Disease Reporting and Data System in nearly 1,500 patients treated across four hospital emergency departments.

July 20, 2021

Radiologists utilize novel CAD-RADS in 95% of coronary CTA reports

Massachusetts General Hospital doctors analyzed Coronary Artery Disease Reporting and Data System usage in their high-volume cardiac CT services center for the study.

July 7, 2021

Plaque characteristics boost predictive power of CTA risk scoring

A CT angiography (CTA)-derived score that also incorporated the extent, location and composition of coronary plaque outperformed a model that focused only on the severity of stenosis, researchers reported Jan. 16 in JACC: Cardiovascular Imaging.

January 18, 2019

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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