Stephanie Daignault‐Newton
Papers
2
Total Citations
7
H-Index
2
About
Stephanie Daignault‐Newton is a leading biostatistician and health services researcher whose work is reshaping urological surgery through rigorous, data-driven quality improvement. Her primary research areas center on the perioperative outcomes and adoption patterns of advanced robotic surgical techniques, with a particular focus on prostate and kidney cancer care. As a key analyst for the Michigan Urological Surgery Improvement Collaborative (MUSIC), she has made major contributions by leveraging large, multi-institutional registries to evaluate real-world practice variations. Her landmark 2024 study on same-day discharge after robot-assisted radical prostatectomy, with 4 citations, provided critical evidence on the safety and uptake of this efficiency-improving protocol across Michigan. More recently, her 2025 MUSIC-KIDNEY analysis, with 3 citations, has been instrumental in documenting the early adoption and perioperative outcomes of single-port robotic partial nephrectomy, guiding surgeons on the benefits and limitations of this emerging technology. Daignault‐Newton’s work is notable for its direct impact on clinical guidelines and hospital protocols, translating complex statistical models into actionable insights that improve patient recovery and healthcare resource utilization. Her collaborative, registry-based approach exemplifies how rigorous biostatistics can drive meaningful change in surgical practice.
Research Focus
Key Achievements
Top Papers
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