Quality

The focus of quality improvement in healthcare is to bolster performance and processes related to diagnostic and therapeutic procedures. Leaders in this space also ensure the proper selection of imaging exams and procedures, and monitor the safety of services, among other duties. Reimbursement programs such as the Merit-based Incentive Payment System (MIPS) utilize financial incentives to improve quality. This also includes setting and maintaining care quality initiatives, such as the requirements set by the Joint Commission.

'Cybersecurity vulnerability' spurs FDA recall of GE HealthCare image viewers
The recall is due to an issue with the software that could make the viewer vulnerable to security threats and data manipulation.
Not all AI is created equal—experts caution against 'useless' applications
“If we are not careful, we run the risk of spending more time admiring these novelty-driven tools than advancing the real frontiers of radiology.”
AI model could help providers choose more appropriate imaging exams
The model was trained on guideline-adherent data specific to clinical scenarios that would prompt a provider to order medical imaging.
Researchers develop program that can spot falsified radiology reports written by AI
“With generative AI becoming more capable of producing remarkably convincing radiology reports, there’s a greater risk of fabricated reports being used to falsify medical histories and support fraudulent claims,” the team cautioned.
Virtual interview etiquette: What radiology residency program leaders expect from candidates
While virtual residency interviews offer convenience for both applicants and program directors, they should be approached with the same effort and etiquette as in-person meetings, experts charge.

'Cybersecurity vulnerability' spurs FDA recall of GE HealthCare image viewers

The recall is due to an issue with the software that could make the viewer vulnerable to security threats and data manipulation.

AI artificial intelligence stethoscope doctor

Not all AI is created equal—experts caution against 'useless' applications

“If we are not careful, we run the risk of spending more time admiring these novelty-driven tools than advancing the real frontiers of radiology.”

AI model could help providers choose more appropriate imaging exams

The model was trained on guideline-adherent data specific to clinical scenarios that would prompt a provider to order medical imaging.

Researchers develop program that can spot falsified radiology reports written by AI

“With generative AI becoming more capable of producing remarkably convincing radiology reports, there’s a greater risk of fabricated reports being used to falsify medical histories and support fraudulent claims,” the team cautioned.

Virtual interview etiquette: What radiology residency program leaders expect from candidates

While virtual residency interviews offer convenience for both applicants and program directors, they should be approached with the same effort and etiquette as in-person meetings, experts charge.

EMR-based framework produces 30% reduction in overnight CT report turnaround times

An academic medical center struggling to meet CT report turnaround time benchmarks was recently able to improve its overnight efficiency by implementing a framework designed to streamline teleradiology requests.

Experts develop first-of-its-kind fully robotic MRI-compatible system for neurosurgery

BrainBot's development represents a significant step forward for image-guided interventional procedures, as fully robotic neurosurgical devices are not designed to be MRI-compatible.

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Standardized reporting templates reduce residents' on-call turnaround times

There has been some debate among the imaging industry as to whether standardized templates help or hinder workflows, but these latest data suggest they may be especially beneficial for on-call residents.