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Medicine and the Machine

How We Can Err if We Rely on Randomized Controlled Trials

Medicine and the Machine
Medicine and the Machine

Dr Trish Greenhalgh explains how we miss the boat when we discount real-world evidence in favor of randomized trial evidence.

This podcast is intended for US healthcare professionals only.

To read a full transcript of this episode or to comment please visit:

https://www.medscape.com/features/public/machine

Eric J. Topol, MD, Director, Scripps Translational Science Institute; Professor of Molecular Medicine, The Scripps Research Institute, La Jolla, California; Editor-in-Chief, Medscape

Abraham Verghese, MD, Physician, author, and educator; Professor and Vice Chair, Theory & Practice of Medicine, Department of Medicine, Stanford University, Stanford, California

Trish Greenhalgh, OBE, MD, Professor of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom

Orthodoxy, illusio, and playing the scientific game: a Bourdieusian analysis of infection control science in the COVID-19 pandemic [version 3; peer review: 2 approved]. Wellcome Open Res 2021, 6:126

https://doi.org/10.12688/wellcomeopenres.16855.3

Ten scientific reasons in support of airborne transmission of SARS-CoV-2. The Lancet, Vol 397; May 2021

https://doi.org/10.1016/S0140-6736(21)00869-2

Adapt or die: how the pandemic made the shift from EBM to EBM+ more urgent. BMJ Evidence-Based Medicine October 2022; volume 27; number 5

http://doi.org/10.1136/bmjebm-2022-111952

Long covid—an update for primary care. BMJ 2022;378:e072117

http://doi.org/10.1136/bmj-2022-072117

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