• Accounting for bias is a major challenge confronting the use of observational data to gain important insights into real-world treatment effects. • No single study design will satisfy all information ...

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 ...

Healthcare leaders can learn four important lessons from a recent study indicating universal colonization as superior to other strategies for reducing methicillin-resistant Staphylococcus aureus among ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms-addressing a ...

1. Explore the role of observational studies (OSs) in the generation of evidence to guide clinical and health policy decisions, with a focus on individual patient care, in a learning health system; 2.