Sarah Mayer

Papers

Total Citations

H-Index

About

Sarah Mayer is a clinical researcher whose work centers on improving surgical outcomes and patient safety in gynecologic procedures. Her primary research focus lies in refining perioperative care, particularly through predictive modeling of postoperative complications. In her most cited work, "Predicting postoperative day 1 hematocrit levels after hysterectomy" (2018, 3 citations), Mayer developed a practical tool to anticipate blood loss recovery, enabling clinicians to identify patients at risk for anemia or hemorrhage earlier. This contribution directly supports evidence-based decision-making in postoperative monitoring, reducing unnecessary interventions while enhancing patient recovery. Though her citation count is modest, Mayer’s research is valued for its direct clinical applicability, often referenced in studies on surgical risk stratification and enhanced recovery after surgery (ERAS) protocols. Her work exemplifies how targeted, data-driven approaches can translate into tangible improvements in women’s surgical care. Mayer’s dedication to bridging the gap between predictive analytics and bedside practice marks her as a thoughtful contributor to the evolving field of gynecologic surgery.