AI & ML Intelligence

From January 2023 to February 2024, the organization saw an average increase of 168 encounters per week with help from automated processes to help reduce missed appointments – amounting to approximately 7,800 additional encounter numbers and $1.4 million in new net patient revenue.

One technology CEO discusses the importance of pre-visit preparation – how AI-enabled automation can transform the process and minimize the time physicians spend in the EHR.

That's according to the health system's CMIO and interim chief digital and information officer, who offers an overview of how – and where – he sees artificial intelligence and automation having the most potential.

Why wait 10 days to see a dermatologist when an AI app with nearly the same accuracy as a clinician can treat you the same day? That's a question providers may soon have to answer, says Mount Sinai's interim chief digital and information officer.

The Wisconsin medical center's HIMS department reported a complete transformation in their workflow: It could save up to 40% of time when abstracting a large volume chart, which equates to 16.7 hours per week.

Despite challenges such as data privacy concerns and the need for seamless integration into existing systems, the trajectory of AI development in healthcare is promising as tools continue to improve, says Alex Mason of FTV Capital.

It's fair to be wary of AI in healthcare, but using proven technology to help do easily automatable tasks is a no-brainer, says the CMO of EmpowerMe.

IEEE Fellow Chenyang Lu shows where artificial intelligence can be deployed clinically to improve patient outcomes – and discusses the challenges and future of AI throughout healthcare.

Healthcare organizations with fewer resources could use the new free and open-source tools to validate any artificial intelligence model and monitor its ongoing performance. "This is your cookbook," says Corey Miller, Epic's VP of R&D.

The health system’s Cedars-Sinai Connect primary care application has been especially effective, says CIO Craig Kwiatkowski, who describes how he measures an app’s success and how his team is protecting against AI biases.