Facility Management

Catch up on the top radiology content of the past week.

Catch up on the most-well viewed radiology content in March 2024.

The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.

Autosave functionality for dictation software and availability of prior imaging are elusive yet very practical essentials that could eliminate a fair amount of redundancy with radiology reports.

Catch up on the top radiology content of the past week.

Proactive approaches to training, compensation issues and staff feedback are hallmarks for engaging and retaining top radiology staff.

Given a certain perception that calling out sick is frowned upon in health care, radiologists and other health care workers may feel conflicted about being absent even if an illness has reduced their capacity for getting work done on a given day.

A prospective employer’s willingness or unwillingness to negotiate notice periods in a contact may signal the difference between a worthwhile opportunity and a one-way, dead-end job.

Catch up on the top radiology content of the past week.

The proportion of women applying to radiology residency programs was nearly 21 percent lower than the proportion of women applying to other residency programs, according to a review of 10 years of residency program data from 2013 to 2022.

Going beyond the humdrum, eye roll-inducing platitudes of orientation training may foster improved attention and adherence to training priorities such as cybersecurity.

Catch up on the most-well viewed radiology content in January 2024.

Is it time to rethink the burden of applicant fees, credentialing costs and medical staff dues?

Catch up on the top radiology content of the past week.

In a nearly two-year study of over 300,000 CT exams, researchers noted a 56.8 percent increase in the frequency of automated CT protocols for outpatient CT examinations.

In a recently issued statement from multiple radiology societies including the RSNA and ACR, researchers offer practical advice for evaluating artificial intelligence (AI) tools, implementing AI into current workflows and monitoring of the technology to help ensure optimal benefit and effectiveness.

A singular database of current rules, guidelines and best practices in radiology would be a welcome advance to ensure ease of access, consistency, and proactive prevention of frivolous malpractice cases.

In addition to high-quality X-ray and fluoroscopic images, the DRX-Excel Plus X-ray System provides automated filter selection, grid parking and positioning of table axes.

In part of an ongoing multicenter study evaluating commercial artificial intelligence (AI) products in radiology, AI lung nodule detection software from four out of seven vendors demonstrated stand-alone AUCs ranging from 5 to 12 percent higher than the mean AUC of 17 reviewing radiologists.

A comfortable environment for reading CTs, MRIs and X-rays may be conducive to less interruptions and longer intervals at radiology workstations.

Given the ongoing challenges with receiving appropriate reimbursement in radiology, these authors discuss key principles in the coding and billing process, common challenges and three priorities for bolstering reimbursement revenue in the profession.

In addition to offering a 98.5 percent sensitivity rate in diagnosing fractures on X-ray, an emerging artificial intelligence (AI) software reportedly helped reduce mean turnaround time on X-ray fracture diagnosis from 48 hours to 8.3 hours, according to new research presented at the Radiological Society of North America (RSNA) conference.

Emerging research suggests that adjunctive artificial intelligence (AI) improves sensitivity for a variety of abnormalities on chest X-rays regardless of radiologist experience level, including an average 26 percent increase in sensitivity for pneumothorax.

Excess verbiage, at the behest of non-clinical interlopers, continues to pervade radiology reports.

Reimbursement for use of the artificial intelligence (AI)-powered EchoGo Heart Failure platform in hospital outpatient settings for Medicare and Medicaid patients is expected to increase from $99.81 to $284.88 in 2024.

The ability to consider and comment on prior imaging in the radiology report may help reduce extraneous addenda requests.

Catch up on the top radiology content of the past week.

Incorporating text messaging into your mammography screening program may facilitate improved mammography screening rates in your patient population as well as enhanced practice management efficiencies.

The executive order seeks to promote continued innovation and growth with artificial intelligence (AI) while ensuring monitoring of AI models for safety, privacy, and equity.

An emerging deep learning algorithm can reportedly triage 40 percent of no-change X-rays while providing 88 to 90 percent accuracy for detecting changes with X-rays obtained in the emergency department and intensive care unit at a tertiary referral hospital, according to recently published research.