Research That Drives Better Decisions
Applying behavioral science to real-world leadership challenges
The Mayo Leadership Impact Index Adapted for Matrix Leadership Structures: Initial Validity Evidence
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I am a contributing author to a peer-reviewed study examining leadership effectiveness in healthcare organizations, particularly within matrixed reporting structures increasingly common across modern health systems.
Our research explored how leadership quality influences physician well-being, organizational performance, workforce retention, and patient outcomes. The study validated an adaptation of the Mayo Leadership Impact Index© (MLII), extending its application to decentralized healthcare environments where leadership responsibilities are distributed across multiple reporting relationships rather than a single reporting structure.
The findings reinforce a broader principle central to my advisory work: leadership quality directly shapes organizational performance, decision-making, operational stability, and long-term outcomes in high-stakes environments.
This work continues to inform the ORX Executive Decision Framework — a structured advisory model designed to help senior leaders navigate complexity, organizational risk, and strategic execution with greater clarity and discipline.
Through both research and advisory work, I remain focused on helping leaders improve decision quality, strengthen organizational alignment, and execute effectively in complex environments.