Management

This page includes content on healthcare management, including health system, hospital, department and clinic business management and administration. Areas of focus are on cardiology and radiology department business administration. Subcategories covered in this section include healthcare economics, reimbursement, leadership, mergers and acquisitions, policy and regulations, practice management, quality, staffing, and supply chain.

Dual source CT scanners shown to expedite treatment in emergency settings

Dual source CT scanners can eliminate the need for beta blockers to control heart rates during coronary CTA exams.  

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Eli Lilly caps insulin costs at $35 per month

The company announced price reductions of 70% for its most commonly prescribed insulins.

The Millipede 088 Access Catheter. Image courtesy of Perfuze. FDA clearance.

Regulatory Roundup: FDA clears 2 new solutions, declines to approve omecamtiv mecarbil for HFrEF

Read our monthly recap of FDA-related news items from the world of cardiovascular medicine. 

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‘Tremendous setback’: Imaging advocate blasts CMS decision on Alzheimer’s care

The Medical Imaging & Technology Alliance challenged Medicare's limited coverage for beta-amyloid PET, used to help identify those at risk.

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Imaging giant RadNet loses $25M on AI segment but sees profitability ahead in 2024

The Los Angeles-based imaging center operator has made a big play in AI recently, including buying two such firms last year for $100M. 

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2021 Medicare policy changes dragged down radiologist pay, new study confirms

Specialties that provided fewer E/M services, such as radiology and general surgery, saw the largest declines, experts wrote in JAMA

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Robot-assisted needle positioning in CT-guided procedures improves accuracy, reduces repeats

Compared to freehand techniques during procedures requiring needle positioning, robot assistance results in fewer adjustments, even for seasoned interventional radiologists.

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AI competition furthers research on computer-aided detection in breast imaging

For the challenge, eight teams were tasked with developing algorithms capable of achieving high sensitivity for lesion detection on DBT exams.