AI & ML Intelligence

Artificial intelligence is a force multiplier for health systems and their RCM professionals, says Noel Felipe, senior vice president and revenue cycle practice leader at Firstsource.

Dr. Melek Somai describes the Wisconsin health system's efforts to expand its integration of artificial intelligence into workflows and care processes – from streamlining patient scheduling to providing personalized preventive care recommendations.

Mayo Clinic's Dr. Sonya Makhni answers key questions on creating and delivering artificial intelligence, inherent bias and the importance of risk classification systems. 

Dr. Melek Somai discusses the most promising use cases for artificial intelligence, and describes how his health system has made it an "integral component" of its information ecosystem.

Dr. Alvaro Pascual-Leone, a practicing neurologist and cofounder of Linus Health, offers an in-depth look at his company's digital replacement for a longtime paper test that helps assess risk of dementia and stroke.

Even the best algorithm could still need months to verify its performance, a healthcare systems expert says. So IT leaders should ensure they budget for the training process whenever they evaluate any artificial intelligence technology.

Large language models can provide a big boost here for providers, says the CEO of Medicomp. But algorithms should be trained on hierarchical condition categories for risk adjustment – and challenges with data quality and bias need addressing.

And the tool deployed at Arizona-based SimonMed, which complements the work of subspecialty-trained radiologists, has a 96.9% to 100% sensitivity range per bone, research shows.

Artificial intelligence can help infusion centers lower patient wait times and reduce staff overtime, while supporting growth, says Ashely Joseph, vice president of infusion centers client services at LeanTaaS.

Automation is helping staff save time and reducing the potential for keyboard errors, its CIDO says. Artificial intelligence is also enhancing medication history data for 81% of all available home medications so patient records contain fewer gaps.