A Review of Human Factors Reliability Analysis in Surgical Operations under the Smart Medical

Abstract

The continuous progression in scientific research and technological innovation, alongside the burgeoning field of artificial intelligence, has catalyzed the assimilation of intelligent human-machine integration systems into the surgical domain. Despite the significant enhancement in surgical precision and patient convenience afforded by the adoption of surgical robots, the practical application of this technology is not without its risks. This paper reviews the literature on HRA within surgical contexts, scrutinizing the typology of human errors, their underlying factors, utilization of HRA techniques, and the assessment of surgeons' skills, to champion the need for HRA methodologies that are specific to the healthcare sector. Our analysis of 37 articles suggests that HRA implementation in healthcare is still in its infancy. The predominant method, Observational Human Factors Reliability Analysis (OCHRA), has been in use since 1999, yet it is limited in its capacity to evaluate internal error patterns and falls short in methodological advancement compared to techniques utilized in industries like nuclear energy and aviation. Therefore, the healthcare community must earnestly reevaluate the suitability and sophistication of existing methods, ensuring they capture the intricate interplay of cognitive processes inherent in medical practice. This critical step is essential in the development of tailored methodologies that are contextually grounded and cognitively oriented. Furthermore, investigating the modulating factors of human error behavior in intelligent human-robot integration systems is set to become a focal point for future research into personnel reliability within this evolving domain.