Featured
Integrating Social Care into the Delivery of Health Care Report Release Webinar
Call for Evidence from the International Commission on Human Germline Genome Editing
News
National Academy of Medicine Names Five NAM Fellows for 2019
The National Academy of Medicine (NAM) has selected five outstanding health professionals for the class of 2019 NAM Fellowships. The fellows were chosen based on their professional qualifications, reputations as scholars, professional accomplishments, and relevance of...
Victor Dzau delivers plenary lecture at Nobel Forum on Bio-inspired Innovation in Medical Breakthroughs
Dr. Victor Dzau, president of the National Academy of Medicine, delivered a plenary lecture at the at the Nobel conference, “Bio-inspired medicine – unlocking access of nature for opportunities in health,” which was held at the Nobel Forum, Karolinska Institute,...
Joint USA-UK Rosenthal Symposium on behavior change to improve health for all
”The single most important intervention for changing behavior is to understand that there is no single most important intervention.” The US National Academy of Medicine and UK Academy of Medical Sciences partnered earlier this year to explore how behavior change can...
International Commission on Clinical Use of Heritable Human Genome Editing Issues Call for Evidence
The International Commission on the Clinical Use of Human Germline Genome Editing is tasked with identifying the scientific, medical, and ethical requirements to consider when assessing potential clinical applications of human germline genome editing — if society...
Featured Publication
Caring for the Individual Patient: Understanding Heterogeneous Treatment Effects
A Special Publication from the National Academy of Medicine
Evidence-based medicine arose from a clear need and represents a major advance in the science of clinical decision-making. Despite broad acceptance of evidence-based medicine, however, a fundamental issue remains unresolved: evidence is derived from groups of people, yet medical decisions are made by and for individuals. For evidence to be more applicable to individual patients, we need to combine methods for strong causal inference (first and foremost, randomization) with methods for prediction that permit inferences about which patients are likely to benefit and which are not. Better population-based outcomes will only be realized when we understand more completely how to treat patients as the unique individuals they are.
