Artificial Intelligence
Despite facing immense challenges since the pandemic began, the nursing workforce is nothing but resilient and resourceful. These stories show how RNs and NPs are embracing emerging tech to advance their mission to serve patients.
Algorithms and large language models are already transforming healthcare processes across many use cases. Here's how some pioneering health IT leaders are using AI today, and how they're planning for the future.
Learn from industry experts about overcoming common AI challenges and driving innovation while maintaining compliance and fostering trust in your organization. This session explores the intersection of AI and healthcare, focusing on how effective AI governance and organizational change management can enhance healthcare IT systems and AI adoption.
The Health Data Hub's Pauline Cohen explains that the SHAIPED project will assist AI-enabled medical device manufacturers in obtaining health data for model training while maintaining regulatory compliance.
Mike Reagin says the health system is gaining provider satisfaction from an in-house digital assistant that helps with tasks such as summarizing documents, and its ambient voice technology has enabled productivity gains.
As phishing tactics evolve, healthcare organizations need to act quickly to shore up defenses and close the gaps that attackers are exploiting. That shift needs to start now.
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High levels of adoption and continuous optimisation are crucial in realising EMR benefits.
Real-time decision support demands an IT network that can handle the volume and velocity of clinical data, while maintaining trust and reliability so clinicians can act on AI recommendations.
Makati City has invested over $60 million to launch an integrated 24/7 digital healthcare system.
Lori Walker, Presbyterian Healthcare Services' CMIO, says artificial intelligence that summarizes rural patients' multiple health challenges and social determinants for consumption during 30-minute patient visits is reducing cognitive burdens.
