Joshua Parreco

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About

Dr. Joshua Parreco is a leading surgical outcomes researcher whose work bridges the gap between big data analytics and clinical practice. His primary research focuses on the comparative effectiveness of minimally invasive versus open surgical techniques, particularly in hepatobiliary and trauma surgery. In his highly cited 2018 study, "Nationwide outcomes and costs of laparoscopic and robotic vs. open hepatectomy," Dr. Parreco leveraged national databases to demonstrate that minimally invasive approaches offer shorter hospital stays and lower complication rates, while also analyzing cost-effectiveness—a critical insight for value-based care. With nearly 50 citations, this work has shaped guidelines for liver surgery. Beyond this, Dr. Parreco has pioneered the use of machine learning and natural language processing to predict surgical complications and improve trauma triage, earning recognition for integrating artificial intelligence into acute care. His contributions have been published in top-tier journals like the Journal of the American College of Surgeons and JAMA Surgery, and he is a sought-after speaker on surgical data science. For students and researchers, Dr. Parreco exemplifies how rigorous outcomes research can directly inform safer, more efficient patient care.