By Bob Watson – One of the clearest tests of the federal government’s $50 billion Rural Health Transformation Program (RHTP) will be whether rural patients’ health information can move with them across the healthcare system.
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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.
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 Steve Akers – Healthcare security programs were built around an assumption that no longer holds everywhere: that a human sits on the other end of an attack, working at human speed and making human mistakes. That is why the Five Eyes intelligence alliance, in a joint advisory this past June, told member nations plainly that the timeline for adversaries to reach this level of capability is not years. It is months.
By Mat Steinlin – According to the AMA’s 2026 Physician Survey on Augmented Intelligence, over 80% now use AI in a professional context (roughly double the share reported in 2023). The same survey found physicians are significantly more concerned about patient privacy when using non-institutional AI tools (71%) than institutional ones (42%).
By Nikhil Bavaskar – Artificial intelligence is entering a new age of health care. Hospitals and health systems have been deploying AI in recent years to summarize clinical notes, automate administrative work, and enhance patient communication. These tools have shown measurable improvement in clinicians and staff completing tasks faster.
By Ubaid Pisuwala – SMART on FHIR pilots often pass sandbox testing, then fail in production. Here’s what token refresh, per-site approval, and scope handling actually require.
By Adam Z. Kawalek MD – It’s flu season in America. On a Tuesday morning, two workers are hit with the same virus. One is a salaried engineer at a tech start-up, and the other is a sorter in a fulfillment warehouse. Same illness, same city, same conservative management at home. The administrative difference, however, is profound and can cost one of them a paycheck and eventually a job.