Artificial Intelligence
Artificial intelligence has changed the threat landscape, enabling new cybersecurity risks for health systems: more sophisticated social engineering, automated vulnerability intelligence gathering, endpoint detection evasion and more.
In a study published in Nature, Google revealed that its generative AI technology answered medically related questions with 92.6% accuracy.
The organisations have also set up a joint AI research lab for population health and digital health.
Health Care Service Corporation is using augmented intelligence to accelerate prior authorization – up to 1,400 times faster – and an AI tool that references historical authorizations and claims to authorize treatment "within seconds," the company says.
The Louisiana health system is using the technology to help meet other Quadruple Aim goals of improving care quality, boosting patient access and reducing costs.
Researchers from Regenstrief Institute and Indiana University developed three new natural language processing algorithms to extract housing, financial and employment data.
The health system is one of six institutions that will use advanced analytics, artificial intelligence and machine learning for a $52M NIH-funded phenotyping research project targeting acute respiratory distress syndrome, pneumonia and sepsis.
Jung In Park, a professor at the University of California Irvine’s School of Nursing and a trailblazer in using artificial intelligence to enhance care, discusses how AI is improving nursing – and how to prep for a future where it's deployed more widely.
It also helped the hospital gain around $1.8 million in productivity.
Based on OpenAI, it will enable healthcare professionals to automate tasks and generate insights.