By Ricky Bell – For the past decade, I have sat in boardrooms and clinical offices watching healthcare organizations pour millions into Electronic Health Record (EHR) optimization, artificial intelligence, and interoperability. The goal is always the same, and that is operational excellence. Yet, when we look at the revenue cycle, that investment often hits a wall.
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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.
By Dafe Ofoh – Healthcare organizations often evaluate interoperability by asking whether data can move from one system to another. That is necessary, but it is not enough. A workflow is not complete when information arrives. It is complete when the right person can see the evidence, understand the current state, make the required decision, and hand the work forward with a traceable record.
By Syed Sibt-e-Hassan – Most practices judge a good month by the balance in the bank. It is the slowest and least useful way to understand revenue. By the time a shortfall shows up in the account, its causes are weeks old and often past the point of recovery.
By Dr. Muhammad Numan – Every week, medical billing errors cost U.S. healthcare organizations millions of dollars. Put that on a yearly scale and the numbers add up fast. According to one estimate, U.S. providers lose over $262 billion annually to revenue cycle inefficiencies alone.
By Dr. Girirajtosh Purohit – The statistic that keeps coming up in health IT circles is this one: 67% of healthcare organizations believe AI can improve the claims process, yet only 14% have actually deployed it. For independent practices, the gap between those two numbers is even wider.
By Matthew B. Fisher – Open enrollment ended on January 15, and with enhanced ACA premium tax credits now expired (increasing exposure for around 90% of ACA enrollees), millions of marketplace enrollees face higher premiums while health systems face a new wave of coverage volatility.
By Louis Devaleix – My business partner and I operated a multi-state behavioral health organization with 10 facilities across five states. We struggled with the lack of accountability and transparency in our operations, feeling as though we were running our business blindly.
By Jake McCarley – I’m of the persuasion that literature is as helpful as science. It trains our imaginations in ways data cannot, and allows us to understand what it feels like to be human in particular circumstances.