Business Intelligence

Providers utilize business intelligence to monitor referral patterns and collaborate with clinicians who order their services. Such analytics tools have also been deployed in the specialty to improve productivity, track patient satisfaction and bolster quality.

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Report: Radiologists offered average $371K base salary, rank 5th as most requested medical specialty

National healthcare search and consulting firm Merritt Hawkins released its 2018 Review of Physician and Advanced Practitioner Recruiting Incentives, which listed radiology as the fifth most requested medical specialty searched in fiscal year 2017-2018, up from 10th in the previous year's report.

ASNC Releases Dose-Reduction Guidelines for Nuclear Cardiology

Technological improvements in image acquisition and software processing in nuclear cardiology should allow physicians to shave patient imaging times dramatically or cut radiation doses fourfold, according to a new preferred practice statement from the American Society of Nuclear Cardiology (ASNC).

Example of a curved MPR image reconstruction of entire length of of a coronary artery on a cardiac CT scan to better show calcified and soft plaque burden inside the vessel. The thumbnail dots on the left side of the image are cross sectional views of the vessel. Siemens example on the expo floor.

The CCTA Playbook: A Guide to Coding, Reimbursement and Operations

A compendium of the business intelligence required to launch a CCTA service

Texas hospital develops center for treatment of heart rhythm disorders

St. David’s HealthCare, along with Texas Cardiac Arrhythmia, hasdeveloped the Texas Cardiac Arrhythmia Institute (TCAI) at St. David’sMedical Center in Austin.

Around the web

The new technology shows early potential to make a significant impact on imaging workflows and patient care. 

Richard Heller III, MD, RSNA board member and senior VP of policy at Radiology Partners, offers an overview of policies in Congress that are directly impacting imaging.
 

The two companies aim to improve patient access to high-quality MRI scans by combining their artificial intelligence capabilities.