A federal court last week rejected arguments put forward by the American Hospital Association (AHA) and other hospital groups alleging that the Centers for Medicare & Medicaid Services (CMS) Transparency Rule goes beyond the government’s authority. Specifically, the AHA thought the U.S. Department of Health and Human Services was...

The American Medical Association (AMA) recently updated Current Procedural Terminology (CPT) to enable proper COVID-19 coding and billing of antigen tests performed on patients suspected of being infected with the novel coronavirus.

As healthcare organizations develop strategies to secure financial well-being during the COVID-19 pandemic, they can glean critical insights from workflow, business intelligence and denial management technologies.

We hear increasing calls for greater government involvement in health care as the solution to future pandemics and health care problems in general. Ironically, the pandemic illustrates exactly the opposite. 

The Centers for Medicare & Medicaid Services (CMS) has provided some guidance within the “Medicare and Medicaid Programs Policy and Regulatory Revisions in Response to the COVID-19 Public Health Emergency” interim final rule (IFR), allowing for remote patient monitoring, or RPM.

ASCs were in line for substantial growth before the COVID-19 pandemic, and while patient volumes dropped to as low as 20 percent in April, recovery has been swift and the growth opportunities emerging from the pandemic are significant. 

The COVID-19 crisis in the United States has opened vast opportunities for fraud of every type. The scale and scope of COVID-related criminal activity is so vast, we need to take an Aristotelian approach and separate it into categories. 

The American Medical Association (AMA) has a release an update to the Current Procedural Terminology (CPT) which includes a new code for reporting antigen testing of patients suspected to be infected with COVID-19.

When CMS issued sweeping regulatory changes on March 30 to address COVID-19 patient surge, Cleveland Clinic assembled a team of IT, coding and billing experts to help translate the new telehealth policies and waivers into clinician-friendly electronic workflows. 

What if doctors had more time to spend addressing their patients' concerns? That's the thrust behind the push for integrating artificial intelligence (AI) into medicine. By using complex algorithms to detect patterns in large datasets—like lab test results, current medications, and symptoms, to name a few—AI might actually make medicine more personable—not less.