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AI

HIMSS24 APAC
By Adam Ang | 10:07 pm | October 10, 2024
APAC health system leaders reveal best practices in EMR implementation.
By Mike Miliard | 12:25 pm | October 10, 2024
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."
By HIMSS TV | 07:00 am | October 10, 2024
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.
HIMSS24 APAC
By Adam Ang | 05:27 am | October 10, 2024
Dr Nirvana Luckraj of Healthdirect shares how they tested and applied AI on a national scale.
HIMSS24 APAC
By Adam Ang | 05:07 am | October 10, 2024
Seoul National University Hospital CIO Dr Hyung-Chul Lee gives a peek into the future of medical education.
By HIMSS TV | 10:47 am | October 09, 2024
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.
By Andrea Fox | 10:37 am | October 09, 2024
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.
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By Nutanix | 10:20 am | October 08, 2024
Organizations want a ‘patient-first, data anywhere’ approach to meet myriad patient needs.
By HIMSS TV | 07:00 am | October 08, 2024
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.
HIMSS24 APAC
By Hannah Nwaozuzu | 06:57 am | October 08, 2024
National University Health System's Dr Gao Yujia implores a balance of excitement and caution for effective AI implementation.