After go-live health systems must monitor AI tools for clinical outcomes, model drift, bias, and patient safety to ensure sustained impact.
AI is rapidly becoming clinical infrastructure. But accountability frameworks have not scaled at the same pace. When AI contributes to harm, many organizations still end up improvising answers to the ...
The National Institutes of Health (NIH) is awarding $5.4 million in first-year funding to establish a new program that supports the integration of genomics into learning health systems. Present in ...
Penn researchers were awarded a $5 million grant for a program to train the next generation of learning health system scientists. The funding will be used to establish a Learning Health System ...
Lung cancer is the leading global cause of cancer mortality with substantial evidence of inequity, disparity in process and outcomes, and unwarranted clinical variation. Over the last decades, there ...
NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of ...
Epic launched an open source tool on Wednesday to enable healthcare organizations to test and monitor artificial intelligence models. The AI validation software suite is free and available to the ...
This article presents a case study of how stakeholders in one state came together to integrate practice and research that is a step beyond a learning health care system. Objectives: The cost and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results