AI & ML Intelligence
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.
There's too little focus on governance, patient preferences and workforce needs among leaders seeking to implement generative AI, according to a new Deloitte survey of 60 healthcare executives.
The models developed by Stanford Medicine Children’s Health have been so effective that Epic has incorporated a similar guardrail into its own system, extending the impact of Stanford's work to teens worldwide.
Dr. Renee Dua, founder of Together by Renee, a healthcare assistant app that uses generative artificial intelligence, also offers an in-depth look at how the AI in her app can help patients and their caregivers.
For the newest in our interview series with IT leaders about artificial intelligence's potential, Dr. Rebecca Mishuris shows where MGB is getting results, from clinician burnout to patient experience – and she stresses the need for responsible AI.