This study employs sequence-network analysis to investigate the influence of instructing a standardized procedure on total-body skin examination (TBSE) performance. A between-subjects study was conducted with thirty-one participants comprising medical students and attending physicians. Among these participants, fifteen were randomly assigned to the uninstructed group and sixteen to the instructed group. The participants' gaze and field of view were recorded using eye tracking glasses while performing TBSE on a male and a female standardized patient. The recordings were then transcribed to depict the examination process. The instructed group missed significantly fewer body parts (p = 0.045) and had higher time efficiency (p = 0.007) while examining the female patient, but no significant difference was observed for the male patient examination. Furthermore, the examination sequences of the instructed group contained lesser variability than the uninstructed group. Hence, implementing a standard optimal procedure to perform TBSE could minimize the likelihood of missing body parts, increase examination efficiency, and improve performance consistency. This study demonstrated the potential of sequence-network analysis to study human performance in sequential tasks.

本研究采用序列网络分析来调查指导标准化程序对全身皮肤检查 (TBSE) 表现的影响。对 31 名参与者（包括医学生和主治医师）进行了一项受试者间研究。在这些参与者中，十五人被随机分配到未受指导的组，十六人被分配到受指导的组。在对一名男性和一名女性标准化患者进行 TBSE 时，使用眼动追踪眼镜记录参与者的凝视和视野。然后将录音转录以描述检查过程。指导组在检查女性患者时漏检的身体部位明显减少（p = 0.045），并且具有更高的时间效率（p = 0.007），但在男性患者检查中没有观察到显着差异。此外，受指导组的检查序列比未受指导组的变异性更小。因此，实施标准的最佳程序来执行 TBSE 可以最大限度地减少遗漏身体部位的可能性，提高检查效率并提高性能一致性。这项研究证明了序列网络分析在研究人类在序列任务中的表现的潜力。