Out of the shadows
No matter which figures you accept, FWA in healthcare is a multibillion-dollar problem in the U.S. Those are billions of dollars that could be dedicated instead to delivering care. Yet uncovering instances of FWA can be difficult – especially when, like identity thieves, the perpetrators use their knowledge of the healthcare system to hide their efforts within it.
Machine learning can help uncover the subtle variations and patterns that indicate FWA is occurring, and help healthcare organizations focus their anti-FWA efforts in areas that will deliver the best ROI. It’s the best bet to level the playing field.
Ad Statistics
Times Displayed: 55535
Times Visited: 1620 Ampronix, a Top Master Distributor for Sony Medical, provides Sales, Service & Exchanges for Sony Surgical Displays, Printers, & More. Rely on Us for Expert Support Tailored to Your Needs. Email info@ampronix.com or Call 949-273-8000 for Premier Pricing.
About the author: Lalithya Yerramilli is vice president of analytics at SCIO Health Analytics. She has 15 years of experience in analytics in the insurance, healthcare, and life sciences industries, working with customer info-base, transactional, physician level, patient level, claims, and longitudinal data sets.
Back to HCB News
