Quality and Safety

The health system's proprietary model offers a clinically validated approach to identifying behavioral health patterns and risk stratification to help guide more targeted decision making and improve care, the company says.

Through a recently completed multipronged red-teaming effort, the agency said it will develop repeatable testing datasets that can be used to evaluate large language model tools and services in the future.

For seven years, the cardiac surgical team has leveraged computational fluid dynamics software to provide consistent preoperative planning for pediatric congenital heart disease patients and improve outcomes. Sharing workflows is reaching more patients.

The electronic health record vendor group was founded two decades ago with a bold premise: competitors working collaboratively to identify issues related to software development and functionality for EHRs and to further the initiatives laid out by HHS.

When manual documentation or other antiquated measures are used for provider on-call scheduling, staff time is wasted on frequent schedule revisions.

Every second wasted tracking down the right on-call provider can have serious consequences for patient outcomes.

Children diagnosed with diffuse midline glioma (DMG) or diffuse intrinsic pontine glioma (DIPG) generally have between nine and 11 months left to live. Join Mika Newton, CEO of xCures, and David Frigeri, managing director of healthcare data and analytics at Slalom, as they discuss Slalom’s work with xCures.

The World Health Organization's new genAI chatbot highlights the need for caution and responsibility when deploying and using such technologies.

To help health IT leaders address the risks associated with AI, here are some key steps to help approach digital transformation in a safe and sustainable way.

Predictive analytics in EHRs aren't yet effective enough for clinical decision support at the point of care.