AI

APAC health system leaders reveal best practices in EMR implementation.

The modernized, outcomes-focused AMAM is meant to help health systems keep pace with the rapid evolution of analytics technologies and artificial intelligence and "support equitable, data-driven decision-making at scale."

Dr. Shreya Shah, medical informatics director at Stanford Health Care, says higher-value, lower-risk use cases like automated draft replies to patient messages and ambient AI scribes are improving the care experience for providers.

Dr Nirvana Luckraj of Healthdirect shares how they tested and applied AI on a national scale.

Seoul National University Hospital CIO Dr Hyung-Chul Lee gives a peek into the future of medical education.

Josh Wymer, chief health information and data strategy officer at the Missouri Department of Health and Senior Services, discusses a genAI chatbot the state uses and the value of both trust and data transparency in public and community health.

Most health systems experienced a cyberattack in the last year, the new Ponemon Institute report shows, with 69% of victims citing poor patient outcomes. Business-email compromise and ransomware were reported to be the biggest culprits in care impacts.

Organizations want a ‘patient-first, data anywhere’ approach to meet myriad patient needs.

HIMSS' new Policy Principles for Artificial Intelligence and Machine Learning focus on safety and trust; transparency and privacy; and workforce and sustainability. Jonathan French, senior director of public policy at HIMSS explains more.

National University Health System's Dr Gao Yujia implores a balance of excitement and caution for effective AI implementation.