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.

‘Virtual wards’ could boost outcomes, save up to $10K per heart failure patient

Following medical discharge, a program consisting of at-home visits, telehealth appointments and clinic visits resulted in better outcomes and lower healthcare costs than typical post-discharge care.

Thumbnail

Prostate AI cleared for U.S. sales

A medical AI startup in Omaha, Neb., has received the FDA’s blessing to market software for diagnosing prostate cancer on MRI scans.

Breathing issues, language barriers swell MRI scan times

MRI technologists serving patients who have difficulty understanding English may need to budget additional scanner time—especially when image quality largely depends on patients’ compliance with breathing instructions.

Pfizer, Valneva begin final study phace for Lyme disease vaccine

“With increasing global rates of Lyme disease, providing a new option for people to help protect themselves from the disease is more important than ever,” says Annaliesa Anderson, PhD, senior vice president and head of vaccine research & development at Pfizer.

Thumbnail

Following inspection failures, 2 mammography centers have 2 different outcomes

The FDA’s Center for Devices and Radiological Health (CDRH) has updated the status of two previously disaccredited mammography operations, rehabilitating the reputation of one while showing the other in limbo.

Thumbnail

Mobile fluoroscopy machine, DR detector cleared for U.S. sales

The FDA has approved Xoran’s Tron CT system, a full-body fluoroscopy system that is fully mobile, and Viewworks’s Vivix-S F series flat panel detectors for digital radiography.

Should patients—or any of 6 other stakeholder groups—get paid for AI in healthcare?

The commoditization of health data raises questions about who is owed what, and in what proportion, when artificial intelligence renders the data clinically useful and thereby financially profitable.