Hot Topics

The Missing Data in Post-Acute Care Is Sitting in the Home

By Alex Moran – We have become very good at telling the next provider that a patient has left the hospital. We have built almost nothing for hearing what happens after that. I find that strange, because the people with the best view of a person’s condition after discharge are usually not in a clinical setting at all. They are in the home, and they are there several times a week.

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Healthcare AI Needs to Close Administrative Loops, Not Simply Accelerate Individual Steps

By Ramkumar Pichandi – Healthcare has automated a growing number of administrative actions, but we have been less disciplined about defining when the underlying work is actually finished. An eligibility response arrives. An authorization request is sent. A claim passes a pre-submission check. Each event can be recorded as successful even when the account still carries an unresolved issue.





Is Transition of Care the Most Dangerous Moment in Healthcare? Or the Biggest Opportunity?

By John Torontow – When receiving care teams have the right data at the right time, they can intervene before small problems become readmissions and dramatically improve patient outcomes. Here’s how to flip that switch.For all the serious medical peril patients may face as they come through the hospital doors, they’re actually at their most vulnerable when responsibility shifts between care teams.



Why Specialty-Specific Revenue Cycle Workflows Should Be Part of Every Health IT Strategy

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.


AI Was Supposed to Settle the Claim. Instead It Armed Both Sides.

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.