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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UnitedHealthcare to cut back on prior authorization paperwork

UnitedHealthcare announced it would remove 20% of its current prior authorizations starting with the third quarter of this year. 

 

CDC warns of new deadly super fungus

The emerging fungus, Candida auris (C. auris), has been spreading across healthcare facilities at an “alarming rate,” according to the CDC.

interventional ultrasound

IR proves strong on practicality, profitability—but some cost-inclusive metrics remain to be shown

Recent evidence confirms that interventional radiology produces solid clinical outcomes while beating surgery on the cost-effectiveness of numerous procedures.

ACC Vice President Cathie Biga discusses OBLs and ASCs during the ACC23 meeting. #ACC #OBLs #ASCs #ACC23

What the rise of outpatient cardiac OBLs and ASCs means for cardiology

To reduce the healthcare costs associated with straightforward, minimally invasive cardiovascular procedures, more and more ambulatory surgical centers and office based labs are opening all over the United States.

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Feds may soon take action against Amazon’s monopoly status

Federal investigations that began in 2019 into Amazon’s potential abuse of power and consumer privacy violations may soon come to fruition with lawsuits to block the company's monopoly status, Politico reported. 

 

Brainomix stroke CT imaging

Explainable stroke AI cleared for US sales

The FDA has OK’d a new artificial intelligence platform for quickly diagnosing stroke on unenhanced CT scans.

Banks skyscrapers

Big bank rolls out AI claims predictor for healthcare clients

One of the 10 largest banks in the country is marketing a new AI-based system aimed at flagging upcoming medical claims that are likely to court rejection by payers.

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New algorithm shows how AI could make lung cancer screening more cost-effective

Using CT scans, a deep learning algorithm can recommend optimal lung cancer screening intervals by distinguishing between high-risk and low-risk lung nodules.