Ultimate career success for a leader is not measured by profits or personal accolades but by the growth and achievements of the team members they've coached and empowered. By focusing on building up others, a leader creates a cascading effect of success throughout the organization, which is the most meaningful and lasting impact.
Companies fail at collaboration due to behavioral issues, not a shortage of good ideas. When teams operate in silos, believing "I know better," and are not open to challenging themselves or embracing "crazy ideas," progress stalls. Breaking down these habitual, protective behaviors is essential for creating a fluid and truly innovative environment.
True innovation in getting drugs to patients is not about pharma creating pricing models alone. It requires a multi-stakeholder partnership where payers, physicians, and manufacturers work together to solve problems for specific patient subgroups. This collaborative effort, not a unilateral one, is what truly saves lives and reduces costs.
The common misconception is that market access teams just set prices. In reality, they are a complete business leadership team with diverse expertise in health economics, strategy, and outcomes research. They must understand the entire business environment to demonstrate a therapy's value and ensure its commercial success, operating far beyond a simple pricing role.
A leader's most difficult but necessary task is to be truthful, even when it hurts. Avoiding hard realities by "fluffing around" creates a false sense of security and prevents problems from being solved. Delivering honest feedback empathetically is critical for progress and building trust, distinguishing effective leaders from ineffective ones.
AI's most significant impact won't be on broad population health management, but as a diagnostic and decision-support assistant for physicians. By analyzing an individual patient's risks and co-morbidities, AI can empower doctors to make better, earlier diagnoses, addressing the core problem of physicians lacking time for deep patient analysis.