Dr. Wendaline VanBuren, a radiology chair at Mayo Clinic, thinks that AI is in the beginning stages of improving radiologists’ workflows. Some of the most developed radiology AI research projects at Mayo center on image segmentation and 3D printing, she said. In the future, she’s excited to see more tools that aid radiologists in triage and lesion measurement.
Patient safety and lack of autonomy are two of the biggest factors driving so many clinicians away from the medical field, according to a new EY report. Clinicians feel like they aren’t able to provide patients with the quality of care they need and deserve due to workforce shortages, resource constraints, and health system policies over which they have no control.
At HLTH, Shaun Miller Cedars-Sinai's chief medical information officer pointed out one thing he thinks healthcare AI companies haven’t quite gotten right yet. He said he would “really like there to be a lot more recognition around the personalization of AI and the ability for technology to understand that not every clinician is the same.”
UNC Health published a study showing that Laudio’s automation software saved the health system $5.4 million in annual nurse turnover costs. The startup's technology automates administrative tasks for frontline nurse managers such as patient rounding, schedule making, and quality and safety checks.
This year, HCA Healthcare and Google Cloud have expanded their partnership by exploring ways to integrate Google’s generative AI into HCA’s workflows. The most developed project under this initiative is a pilot that began in February in which HCA’s emergency department physicians are testing a voice-enabled medical dictation tool to save them time on clinical documentation.