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Artificial Intelligence
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.
The study of 1.7 billion clinical notes over a three-year period found an increase in the use of digital tools and copy/paste functionality correlated with longer notes and a decrease in the average time spent writing notes.
The company told the American Diabetes Association that the metabolic monitor could reduce down-the-line healthcare costs for T2 non-insulin users and others. "These trends have to change," says CEO Kevin Sayer.
It expects to get a contract shortly to supply its AI solutions in over 170 hospitals across the kingdom.
Rachini Ahmadi-Moosavi explains why planning and guardrails are so necessary as artificial intelligence becomes embedded in an array of clinical, financial and operational use cases – and explains how they should best be applied.
