Large Simple Trials and Knowledge Generation in a Learning Health System
“Large Simple Trials (LST) and Knowledge Generation in a Learning Health System” was the topic for a meeting organized by the Institute of Medicine of the National Academy of Sciences. This meeting took place on 27-28 November, and I was invited to give a presentation with the prescribed title: “Getting to Comparable, Computable Data” in a session on infrastructure needs.
The meeting topic was very specific because there is a perceived need to run more LSTs and the planning committee wanted to explore why there are so few of this type of study actually conducted. Although difficult to find, there were a few examples cited and/or described during the meeting, mostly observational studies conducted by academic universities: Harvard University (VITaminD/OmegA3 – VITAL), Brigham and Women’s Hospital (Post-Myocardial Infarction Free Rx Event and Economic Evaluation (MIFREE), McMaster University (Heart Outcomes Prevention Evaluation -HOPE). There were no regulated research studies recounted.