By David Main DC – Of everything artificial intelligence was going to fix in healthcare, billing looked like the softest target. It is rule-bound, high-volume, repetitive. The code sets are published, the edits are published, the payer policies at least nominally so. If you had asked me three years ago where AI would land first and hardest, I would have said the revenue cycle without hesitating.
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By Casey Williams – How Clear, Personalized Payments can Drive Patient Engagement and Collections – Amid constant change in the healthcare industry, providers and health systems continue to face the same challenge: helping patients navigate the finances in their care journey with compassion, while keeping the services they rely on sustainable.
By David Lareau – Health systems in the U.S. are no strangers to the slow pace of new IT implementations. For example, an electronic health record (EHR) implementation can drag on for years before the official go-live date and still not be fully implemented.
By Javier Favela – Organizations that make moves to adopt a single, robust practice management system and clearinghouse, integrating all claims and financial rules into one cohesive system, can experience successful financial, operational, and clinical outcomes.
By David R. Burda – A short research letter recently published in the Journal of the American Medical Association supports the idea that it’s providers and payers, not patients, that have created the revenue cycle mayhem.
By Ritesh Ramesh – Healthcare organizations are under tremendous pressure to reduce compliance risk and optimize revenue flow, a feat that will require flawless optimization for billing compliance, coding, revenue cycle, and revenue integrity capabilities.
By David Burda – Hospitals, health systems and medical practices are businesses just like businesses in any other industry. They respond to economic incentives, and they do things for economic reasons. Plain and simple. Well, maybe not so plain and simple.