Insights of the failure mode and effects analysis nursing model for colorectal surgeons

Abstract

Laparoscopic radical colectomy has become the standard of treatment for colorectal cancer, offering advantages of minimal invasiveness and reduced surgical trauma. However, postoperative complications such as ileus, gastrointestinal dysfunction, and anastomotic leakage still compromise patients’ health and pose a significant barrier to optimal rehabilitation. A retrospective cohort study by Yang and Wu, recently published a study in World Journal of Gastrointestinal Surgery, demonstrated that the failure mode and effects analysis nursing model, through systematic proactive risk identification and individualized interventions, significantly shortens hospital stays, reduces complication rates, and improves patients’ quality of life. This study offered valuable insights for clinical surgeons. Systematic proactive risk identification and personalized interventions for colorectal cancer patients throughout the perioperative period are not only clinically referable but also consistent with the ongoing advancements in clinical practice. In the era of precision medicine, personalized diagnosis and treatment in colorectal surgery need to evolve from “passive adaptation” to “proactive prediction”. This editorial reviewed and discussed aspects including nutritional assessment and intervention, individualized customization of surgical plans, as well as prediction and early intervention of postoperative complications, aiming to provide colorectal surgeons with innovative insights into personalized perioperative diagnosis and treatment that integrates proactive risk management.

Keywords: Colorectal cancer; Failure mode and effects analysis; Laparoscopic radical colectomy; Proactive prediction; Individualized therapy

Core Tip: Failure mode and effects analysis (FMEA), a proactive risk management tool originating from engineering, provides crucial clinical insights for colorectal surgeons in colorectal cancer perioperative management. This editorial highlight that integrating FMEA into nutritional assessment and intervention, individualized surgical plan customization, and postoperative complication prediction and early intervention may effectively reduce postoperative complications and enhance surgical safety. Despite current limitations of insufficient prospective, multi-center evidence, FMEA-based proactive risk management aligns with precision medicine. And FMEA model is expected to optimize clinical practice and improve colorectal cancer patients’ risk management, prognosis and quality of life with more high-quality clinical research.