The goals of improving population health at lower cost and higher quality are moving healthcare delivery away from a volume-based model and shifting toward an emphasis on value-based care. Of course, radiology isn't immune to this transition; the American College of Radiology's Imaging 3.0 initiative is one example of such movements toward value-based care, said Kim, who is also a co-founder of radiology data mining and analytics software developer Montage Healthcare Solutions.
"Many have defined value by the equation: value equals quality divided by cost," he said. "Therefore, emphasis on delivering higher quality is an essential component of the transition toward value-based care."
Kim said he will focus his keynote presentation on the role and benefits of informatics for delivering higher-quality care in radiology through data mining and quality analytics, which is different from classic business intelligence and analytics. Specifically, attendees will learn how these techniques can be employed to reduce length of stay, improve compliance, decrease errors and medicolegal risks, and evaluate outcomes and quality.
"We live in a world where simply providing medical imaging services is no longer sufficient," Kim said. "Instead, we must do so with high quality while providing value to our referring providers and, most importantly, our patients. This presentation will show how one can leverage imaging informatics to transition from volume-based care to value-based care."
