AI algorithms face unique nuances in care

Full Article
AI algorithms face unique nuances in care

Artificial intelligence is revolutionizing how UNC Health identifies expertise for treating rare diseases, reducing the time from days to minutes. The focus is on high-benefit, low-risk applications of AI, ensuring that human oversight remains integral to patient care. This approach aims to enhance clinical efficiency while addressing challenges like pediatrician burnout.

AI tools, such as auto-draft responses and generative AI scribes, are being explored to improve communication and documentation in healthcare settings. The implementation of AI in pediatric care presents unique challenges, particularly in understanding the nuances of interactions during visits. Privacy and responsible AI deployment are emphasized to protect sensitive patient data.

• AI reduces time to find expertise for rare disease treatment.

• AI scribes help decrease pediatrician burnout and improve efficiency.

Key AI Terms Mentioned in this Article

Generative AI

Generative AI is used to transcribe interactions between patients and healthcare providers during clinical encounters.

AI Scribe

An AI scribe optimizes clinical efficiencies and reduces burnout among pediatricians.

Machine Learning

Machine learning at UNC Health began in 2015, forming the foundation for current AI applications.

Companies Mentioned in this Article

UNC Health

UNC Health utilizes AI to enhance patient care and streamline processes in pediatric medicine.

Epic

Epic developed generative AI tools that UNC Health is testing to improve healthcare delivery.

Childrens National Hospital

Childrens National Hospital focuses on responsible AI deployment to ensure safety and effectiveness in pediatric care.

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