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Real-world examples from Premier Inc. showcase how machine learning and natural language processing are helping providers use structured and unstructured data to drive more efficient operations, innovate care delivery and improve patient experience.
Dr. Aalpen Patel – who holds a position that's still rare among provider organizations – discusses the need to educate the healthcare workforce in AI, and describes how the health system is applying algorithms across radiology, pop health management and other clinical use cases.
Such an approach, the group said, would allow oversight organizations to tailor their regulations to the particular risks linked to AI.
South Australian women experiencing signs of early pregnancy loss no longer have to wait in the ED to be assessed.
It is launching a data collaboration lab with Hong Kong Science and Technology Parks.
The goal is to improve health outcomes by enabling pathways for cannabis education with a focus on compassion and social justice.
Physicians and other clinical staff at the health system are participating in the Microsoft 365 Copilot Early Access Program, exploring ways to combine LLMs with productivity apps to reduce provider burden.
The use of telemedicine technology that lends itself well to combination with in-person care is bringing many benefits to the family clinic of Dr. Richard Tytus.
Also, Orion Health has integrated Pieces AI for automatic patient summaries generation.
Also, South Korea takes a further step to enable health data interoperability.