Michaela McGree
Papers
1
Total Citations
2
H-Index
1
About
Dr. Michaela McGree is a clinical researcher whose work centers on optimizing surgical decision-making in gynecologic care, with a particular focus on benign hysterectomy. Her most notable contribution is the development and evaluation of a benign hysterectomy decision tree algorithm, detailed in her 2017 paper "Implementation and evaluation of benign hysterectomy decision tree algorithm." This work provides a structured, evidence-based framework to guide clinicians in selecting the most appropriate surgical approach—whether abdominal, vaginal, or laparoscopic—tailored to individual patient characteristics. By translating complex clinical guidelines into a practical, algorithmic tool, Dr. McGree’s research aims to reduce variability in surgical practice, improve patient outcomes, and enhance the efficiency of preoperative planning. Though her citation count is modest, her contribution represents a foundational step toward standardizing benign gynecologic surgery, offering a reproducible model that can be integrated into clinical workflows and further validated in larger studies. Her work underscores the importance of decision-support tools in modern surgery, making her a valuable voice in the ongoing effort to refine and personalize gynecologic care.
Research Focus
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Top Papers
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