Why Bullying Persists in Medicine Today

The LOUNGE - A Newsletter for Savvy Physicians

We scour the net, selecting the most pertinent articles for the busy doc so you don’t have to! Here’s what kept our focus this week…

• Bullying in medicine often involves coercion and power imbalance—not just overt aggression.

• 58% of physicians retire after 65—later than the general population.

• AI amplifies existing strengths and weaknesses—it doesn’t fix broken systems.

• Most founders obsess over growth, but overlook what actually sustains a company.

• The gap in healthcare policy? It’s often missing the patient’s voice.

• Billion-dollar decisions are now being made on data no one can fully verify.

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Bullying in medicine is widespread, often subtle, and sustained by hierarchical systems that protect power over people. It doesn’t always appear as overt hostility but can take the form of coercion, intimidation, and pressure to compromise ethics. The author shares firsthand experiences—both as a witness and a victim—highlighting how speaking up can lead to real consequences, but also real change when leaders act. The American Medical Association defines bullying as repeated abusive conduct tied to power imbalance, and its impact extends beyond individuals to patient safety, team dynamics, and institutional trust. Despite ongoing conversations about physician wellness, many organizations continue to tolerate toxic leadership, exposing a gap between rhetoric and reality. The piece outlines practical steps for physicians: naming the behavior, documenting evidence, seeking support, escalating concerns, and refusing unethical demands. Ultimately, meaningful change requires courage—from individuals willing to speak up and from leaders willing to enforce accountability. Without action, silence continues to enable harm.

While much of the conversation around physician finances focuses on undersaving, a growing number of doctors face the opposite problem: accumulating more wealth than they ever use. Many continue working well past financial independence, delaying retirement despite having already surpassed their target savings. Surveys show physicians often aim for around $4 million to retire, yet a significant portion exceeds $5 million and still stays in practice. This behavior is driven less by necessity and more by psychological factors—fear, identity, and habit—often masked as “just one more year.” Medicine’s deep connection to personal identity makes stepping away feel like a loss of purpose rather than a transition. At the same time, many physicians report burnout and a desire for more time with family or personal pursuits, highlighting a growing disconnect between stated goals and actual behavior. Financial models even suggest many will die with far more wealth than they started retirement with, reinforcing the inefficiency of overworking. The core message: financial success without intentional living can become its own form of failure.

Companies chasing AI success often fall into the trap of believing it can mask underlying operational flaws, when in reality it amplifies them. Despite understanding the principle of “garbage in, garbage out,” many leaders overestimate the quality of their data and underestimate the importance of strong foundations. The real issue isn’t speed of AI adoption, but neglect of core principles like data quality, customer focus, and process management. AI acts as an accelerant—strengthening both good and bad systems—making weak workflows, poor data, and misaligned incentives more visible and damaging. The article emphasizes five core principles for success: customer-centric thinking (both internal and external), strong processes, fact-based decision-making, continuous improvement, and people-driven quality. Many organizations still rely on fragmented data and “hidden data factories” where employees manually fix issues, highlighting systemic inefficiencies. Ultimately, AI is not a shortcut to better outcomes—it’s a multiplier that demands disciplined execution of the basics to deliver real value.

Dave Kerpen reflects on the lessons he wishes he knew while building his first startup, emphasizing that success is less about product and more about people. Relationships—whether with team members, customers, or partners—are the most valuable and enduring asset a founder can build. While startups often prioritize speed and rapid growth, long-term success comes from making thoughtful decisions and focusing on customer value. Founders don’t need to have all the answers; in fact, curiosity and openness to learning are key advantages. Building a strong, aligned team is critical, as even the best ideas fail without the right people executing them. Staying connected to the original “why” behind the business helps guide decisions and sustain motivation during tough times. Kerpen also stresses that personal well-being and life outside work are not distractions but essential foundations for building a better company. Ultimately, failure is inevitable, but resilience and the ability to learn from mistakes define long-term success.

Colorado Lt. Governor Dianne Primavera argues that effective healthcare policymaking must include the patient perspective—something she understands firsthand as both a legislator and a cancer survivor. Her dual experience highlights a critical gap in policy design: decisions are often made without fully grasping the real-world challenges patients face. Primavera emphasizes that accessibility and affordability improve when policies are shaped by lived experience, not just data and bureaucracy. She advocates for more patient-centered approaches in healthcare systems, ensuring policies reflect actual needs rather than assumptions. Her work focuses on bridging the disconnect between policymakers and patients, particularly in areas like cost, access, and care coordination. By bringing empathy and firsthand insight into decision-making, she aims to create more practical and humane healthcare solutions. The broader message is clear: better policy starts with listening to the people it impacts most.

As AI becomes deeply embedded in corporate strategy, executives are increasingly relying on machine-generated insights to guide billion-dollar decisions—even when they can’t fully verify how those outputs are produced. Many AI systems function as “black boxes,” creating a transparency gap that leaves leaders unsure whether the recommendations are accurate or biased. Despite this uncertainty, competitive pressure is pushing companies to adopt AI quickly, often without adequate governance or oversight. This has led to a growing risk where flawed or untested models influence strategic planning, market analysis, and investment decisions. While AI tools may perform well in controlled environments, real-world deployment often exposes hidden failures like data drift and incorrect assumptions. Reports show widespread use of AI among corporate directors, including reliance on unsecured or free tools, raising both accuracy and data security concerns. Experts warn that this “assurance gap” means companies are effectively gambling when they trust AI outputs without human validation. The core takeaway: AI is powerful, but without expert review and proper safeguards, it can quietly amplify risk at the highest levels of business.

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QUICK BITES

• Employees are secretly using AI at work. Here are 3 ways leaders can encourage more transparent use.

• Put clients first and competition second.

• How to win peer-to-peer calls: a medical director’s guide.

• What AI can’t do: The new job of leadership.

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