Clinical

The new chatbot at Singapore General Hospital was also projected to save around 60 senior doctor hours annually.

"Nurses want help from AI but they don't want it to do their job," says Kenrick Cato, nurse scientist, pediatric data and analytics, Children's Hospital of Philadelphia—who also discusses the need to not repeat the mistakes of EHRs when deploying.

Also, Hoan My, a private hospital group in Vietnam, has implemented a network-wide EMR system.

One of the biggest hurdles in digital health adoption in the Philippines is the lack of interconnectivity, says Franklin Vibar, CIO of Metro Pacific's Asian Hospital and Medical Center.

Megan Zakrewsky, Veradigm's VP of product for clinical data exchange, says that in automating payer data exchange and reducing clinician desktop crowding, the EHR is also eliminating patient care gaps by up to 80%, based on larger provider groups.

The reimagined ambulatory electronic health record system is designed to offer artificial intelligence capabilities that help with data-driven clinical decision support and reduce burdensome documentation, the company says.

Two remote liver procedures were completed despite long signal delays.

Its collaboration with Cornerstone Robotics and Nanyang Technological University will also focus on telesurgery training and education.

Elizabeth Murumalla, IS project manager at WakeMed Health & Hospitals, describes how it is deploying generative AI and predictive modeling, and how its collaboration with Epic is helping manage some challenges along the way.

Mount Sinai researchers used a clinical and biomedical text processing model at six hospitals to analyze triage data and reliably predict hospital admissions.