As medical technology becomes more sophisticated, the future of medicine seems increasingly uncertain. Diagnostic machinery and medical devices already dominate modern hospitals, suggesting that the future of healthcare will depend on the development and adoption of new technology.
As a Professor of Medicine, Health Research and Policy, and Statistics at Stanford University, John Ioannidis has profoundly changed the field of meta-analysis. His paper, Why Most Published Research Findings Are False, which garnered more than 2.7 million readers, offers a mathematical model to calculate the PPV, positive predictive value, which evaluates the likelihood that a research result claimed to be statistically significant is true.
Expanded Access Programs allow severely ill patients with no alternative treatment options immediate access to FDA-unapproved investigational new drugs outside of clinical trials. Also referred to as compassionate use, EAPs are meant to create fair medical access for those in extreme need of the treatment. Unfortunately, due to inconsistent application and variations in modern interpretation of medical responsibility, EAPs fail to embody fairness, resulting in ethical inefficiencies in its implementation.