Critical knowledge on how to run clinical trials is not formalized in textbooks or courses but is passed down through a slow apprenticeship model. This limits the spread of best practices and forces even highly educated scientists to "fly blind" when entering the industry, perpetuating inefficiencies.

Successful healthcare systems like Kaiser improve blood pressure control not through better individual doctors, but by implementing system-wide solutions: standardized treatment protocols, empowered care teams, and actionable data registries. This shifts the focus from individual effort to scalable processes.

The true value of a Medical Science Liaison (MSL) lies in preparing the entire healthcare system for better care, not just educating individual physicians. This means focusing on systemic changes like improving diagnostic pathways or guideline implementation. Science is only powerful when it moves systems, not just conversations.

MedTech's data-driven culture fosters a false belief that strong clinical data is sufficient to drive adoption. In reality, all humans—including surgeons—make decisions emotionally first. Data's primary role is not to create initial belief but to provide rational validation for a change the market has already been primed to make.

The emotional pain for professionals who discover their long-held practices are wrong is immense. This visceral reaction is a major barrier to adopting evidence-based methods, as it's a direct assault on their professional identity, expertise, and the realization they may have unintentionally caused harm.

Malaria expert James Tabenderana notes that research is adopted much faster when led by national researchers. In the Sahel, studies on malaria chemoprevention were quickly implemented because local researchers, with their existing trust and relationships with ministry of health officials, could effectively bridge the gap between evidence and policy.

Most doctors don't analyze raw studies. They follow clinical guidelines which function as algorithms. These are the output of a massive, underlying effort by researchers to synthesize thousands of trials into "pre-processed evidence" like systematic reviews, making evidence-based care scalable and efficient.

Germ theory was resisted by the medical establishment and adopted last by doctors. The shift was driven by outside cultural forces, like the 'Rainy Day Club,' that created social proof and new public expectations. This shows that profound change is often forced upon institutions from the outside in.

Evidence is a critical input, but not the sole determinant of a decision. For instance, antibiotics are proven to clear infections, but a terminally ill patient may decline them based on their values. Evidence must always be combined with context, cost, and human values to reach a course of action.