Jessica Mody

Papers

Total Citations

H-Index

About

Jessica Mody is a leading researcher in surgical process optimization, with a particular focus on enhancing documentation accuracy and operational efficiency in robotic surgery programs. Her work addresses a critical gap in modern surgical practice: while robotic platforms have revolutionized patient outcomes and surgeon capabilities, they have also introduced new challenges in intraoperative supply tracking and charge capture. Mody’s landmark 2022 study, “Capturing and Improving Case Charge Accuracy in Robotic Surgery Programs,” systematically investigated documentation discrepancies at her institution, revealing systemic errors in supply recording that led to significant revenue leakage and data integrity issues. By implementing targeted interventions, her research demonstrated measurable improvements in charge accuracy, directly impacting hospital financial sustainability and resource allocation. Though early in her career, Mody’s work has already garnered attention for its practical, data-driven approach to solving real-world healthcare inefficiencies. Her contributions are particularly valuable for hospital administrators, surgical teams, and health systems researchers seeking to balance the benefits of advanced technology with rigorous operational accountability. Mody’s ongoing research continues to refine best practices for robotic surgery documentation, positioning her as an emerging authority in surgical informatics and healthcare process improvement.