Marya Zilberberg, MD, MPH, is a physician health services researcher with a specific interest in healthcare-associated complications and a broad interest in the state of our healthcare system. She is the Founder and President of EviMed Research Group, LLC, a consultancy specializing in epidemiology, health services and outcomes research. She is also a professor of Epidemiology at the University of Massachusetts, Amherst. Dr. Zilberberg is a member of multiple journal editorial boards and is frequently invited to speak about evidence-based medicine, research methods and healthcare-associated complications. She blogs about healthcare at Healthcare, etc.

Guest Blog: Quality or Value? A Measure for the 21st Century

Marya Zilberberg | March 24, 2011
Fascinating, how in the same week two giants of evidence-based medicine have given such divergent views on the future of quality improvement. Donald Berwick, the CMS administrator and founder and former head of the Institute for Health Care Improvement, emphasizes the need for quality as the strategy for success in our healthcare system. But one of the fathers of EBM, Muir Gray, states that quality is so 20th century, and we need instead to shine the light on value. So, who is right?

Guest Blog: The Beautiful Uncertainty of Science

Marya Zilberberg | February 2, 2011
I am so tired of this all-or-nothing discussion about science! On the one hand there is a chorus singing praises to science and calling people who are skeptical of certain ideas unscientific idiots. On the other, with equal penchant for eminence-based thinking, are the masses convinced of conspiracies and nefarious motives of science and its perpetrators. And neither will stop and listen to the other side's objections, and neither will stop the name-calling. So, is it any wonder we are not getting any closer to the common ground?

Why Medical Testing Is Never a Simple Decision

Marya Zilberberg | December 20, 2010
A women goes from healthy to heart transplant patient in just a few weeks. Could this have been avoided? True positives, false positives, false negatives, true negatives'how can we understand and use our test results to make good treatment decisions?

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