Nathan Eddy

"Rather than waiting for data integrations or struggling to interpret ad hoc reports, teams know where to focus, how to deploy resources, and what results to expect," its president says.

Senior leaders feel pressure to evolve AI but cite a lack of internal resources to develop in-house AI tools.

Execs are eager to use genAI to optimize workflow and improve clinical sustainability, but a readiness gap persists.

On the provider side, 58% of organizations polled are using AI for administrative tasks, such as medical coding, billing and scheduling, while 44% are deploying it for clinical decision support and imaging analysis.

Almost 20% of healthcare workers polled recently said they spend more than 20 hours per month correcting billing errors. Artificial intelligence can help, but adding automation to billing systems is no easy task.

"On average, only half of patients with chronic disease adhere to their care plans and medications as instructed," says one doctor. "Patients expect on-demand support, and that is not how most health systems operate today."

New artificial intelligence innovations for healthcare from Google, GE Healthcare and others at the chip maker's summit.

A new tool researched at Regenstrief Institute aims to help get symptom assessment data integrated into EHRs and incorporated into clinical workflows.

MGB-eFI can be integrated with an Epic-based electronic health record or be modified for other IT systems, making it a versatile tool for frailty assessment and fall risk.