About

Jamie N. Bakkum-Gamez is a leading gynecologic surgeon and researcher whose work has fundamentally reshaped clinical decision-making for benign hysterectomy. Her primary research focus lies in optimizing surgical route selection—determining when vaginal, laparoscopic, robotic, or open approaches are most appropriate for individual patients. Her landmark 2016 paper, "Determining Optimal Route of Hysterectomy for Benign Indications" (48 citations), introduced a clinical algorithm that dramatically improved practice patterns after robotic program initiation. She then validated this approach in a prospective 2020 study (30 citations), demonstrating that a structured decision-tree algorithm could significantly increase rates of vaginal hysterectomy—the preferred, least-invasive approach. Beyond route optimization, Bakkum-Gamez has investigated perioperative outcomes in robotic-assisted hysterectomy (12 citations) and predictors of surgical site infections in endometrial cancer patients (3 citations), contributing to enhanced patient safety and cost reduction. Her work has been recognized with multiple presentations at national meetings, including the Society of Gynecologic Surgeons. By providing evidence-based, practical tools for surgeons, Bakkum-Gamez has directly improved surgical quality, reduced unnecessary laparotomies, and advanced minimally invasive gynecologic care.

Research Focus

Key Achievements

4
H-Index
7
Papers
107
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Determining Optimal Route of Hysterectomy for Benign Indications
48 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Mayo Clinic in Florida, Twitter (United States), Beijing Obstetrics and Gynecology Hospital, Mayo Clinic in Arizona, Mayo Clinic, Allina Health

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago