Using AI and UX design to pave the way towards the future of imaging automation
Healthcare PerspectivesShow Notes
Across the globe, radiology departments are grappling with a paradox: imaging volumes are climbing while the trained workforce needed to operate scanners is shrinking. Using AI-driven tools, a drive towards fully-automated radiology promises faster diagnoses, greater diagnostic accuracy, and more efficient workflows, improving both the patient and clinician experience. It is rapidly transforming the way medical imaging is performed, analyzed, and integrated into imaging workflows.
The success of this development relies strongly on intuitive and impactful user experience, or UX, design. Effective UX is integral to ensuring that patients and clinicians can use smart healthcare systems in ways that maintain safety and integrity and enhance user experience. The question is no longer whether higher levels of automation will play a role in radiology — it's how quickly, and where to begin.
Today, host Iwona Markuszewska welcomes Dr. Shivakumar Swamy S, Head and Director of the Radiology Department and Clinical Director of the Department of Radiomics and Radiogenomics at HCG Cancer care in Bangalore, India; Dr. Yair Safriel, Co-Founder and Chief Medical Officer at Pharmascan and MEC Chair of Radiology at Morton Plant Hospital Association in Clearwater, Florida; and Ralf Bauer, radiologist and partner at RNS joint practice in Wiesbaden, Germany, to examine the future of automation in radiology.
What you’ll learn in this episode: Rising imaging demand, an aging population, and lack of trained technologists have pushed the radiology system to its breaking point How higher levels of automation can ease this challenge and which types of exams may be the easiest entry point to introducing higher levels of automation in imaging operations Automation starts way before image acquisition and can be implemented easily as early as in the patient check-in process Patient trust and ease of use are of utmost importance for any automation in radiology is to be widely implemented Automation will make it easier for healthcare professionals to spend more time with patients and with more complex, time-intensive cases
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