Browsing: Insights

In some practices there are situations that arise where the radiologists are asked to interpret images, aka “spot” images, in conjunction with other procedures, typically performed by other specialties.

Recent breakthroughs in artificial intelligence (AI) and machine learning are enabling doctors to see and also predict previously unidentified patterns within medical and biological data that can inform individualized disease prevention and care. It can also be used for biomedical discovery.

A well-implemented add-on is almost imperceptible as a tactic and compliance seems like a natural progression of the situation. Let me provide an example.

Computed tomography (CT) and computed tomographic angiography (CTA) are imaging studies that continue to see increases in volumes and are targeted by the payers for medical necessity and coverage.

I think that it goes without saying for a year with a pandemic, my imaging department had to face many challenges. These challenges included a drop in outpatient volume and working with our health system to preserve our workforce.

AI and machine learning algorithms will need to be monitored and the risk of “drift” must be acknowledged to promote trust and confidence that 10×10 will equal 100! 

Teams can be effective or ineffective, depending on their makeup and their leadership, so let’s take a moment to explore six factors for building an effective team.