Abstract：
BACKGROUND: Studies have demonstrated patients hold different expectations for female physicians compared to male physicians, including higher expectations for patient-centered communication and addressing socioeconomic or emotional needs. Recent evidence indicates this gender disparity extends to the electronic health record (EHR). Similar studies have not been conducted with resident physicians.
OBJECTIVE: This study seeks to characterize differences in EHR workload for female resident physicians compared to male resident physicians.
METHODS: This study evaluated 12 months of 156 Mayo Clinic internal medicine residents\' inbasket data from July 2020 to June 2021 using Epic\'s Signal and Physician Efficiency Profile (PEP) data. Excel, BlueSky Statistics, and SAS analytical software were used for analysis. Paired t-tests and analysis of variance were used to compare PEP data by gender and postgraduate year (PGY). \"Male\" and \"female\" were used in substitute for \"gender\" as is precedent in the literature.
METHODS: Mayo Clinic internal medicine residents.
METHODS: Total time spent in EHR per day; time in inbasket and notes per day; time in notes per appointment; number of patient advice requests made through the portal; message turnaround time.
RESULTS: Female residents received more patient advice requests per year (p = 0.004) with an average of 86.7 compared to 68, resulting in 34% more patient advice requests per day worked (p < 0.001). Female residents spent more time in inbasket per day (p = 0.002), in notes per day (p < 0.001), and in notes per appointment (p = 0.001). Resident panel comparisons revealed equivocal sizes with significantly more female patients on female (n = 55) vs male (n = 34) resident panels (p < 0.001). There was no difference in message turnaround time, total messages, or number of results received.
CONCLUSIONS: Female resident physicians experience significantly more patient-initiated messages and EHR workload despite equivalent number of results and panel size. Gender differences in inbasket burden may disproportionally impact the resident educational experience.
OBJECTIVE: This study seeks to characterize differences in EHR workload for female resident physicians compared to male resident physicians.
METHODS: This study evaluated 12 months of 156 Mayo Clinic internal medicine residents\' inbasket data from July 2020 to June 2021 using Epic\'s Signal and Physician Efficiency Profile (PEP) data. Excel, BlueSky Statistics, and SAS analytical software were used for analysis. Paired t-tests and analysis of variance were used to compare PEP data by gender and postgraduate year (PGY). \"Male\" and \"female\" were used in substitute for \"gender\" as is precedent in the literature.
METHODS: Mayo Clinic internal medicine residents.
METHODS: Total time spent in EHR per day; time in inbasket and notes per day; time in notes per appointment; number of patient advice requests made through the portal; message turnaround time.
RESULTS: Female residents received more patient advice requests per year (p = 0.004) with an average of 86.7 compared to 68, resulting in 34% more patient advice requests per day worked (p < 0.001). Female residents spent more time in inbasket per day (p = 0.002), in notes per day (p < 0.001), and in notes per appointment (p = 0.001). Resident panel comparisons revealed equivocal sizes with significantly more female patients on female (n = 55) vs male (n = 34) resident panels (p < 0.001). There was no difference in message turnaround time, total messages, or number of results received.
CONCLUSIONS: Female resident physicians experience significantly more patient-initiated messages and EHR workload despite equivalent number of results and panel size. Gender differences in inbasket burden may disproportionally impact the resident educational experience.
摘要：
背景：研究表明，与男性医生相比，患者对女性医生的期望不同。包括对以患者为中心的沟通和解决社会经济或情感需求的更高期望。最近的证据表明，这种性别差异延伸到电子健康记录（EHR）。没有对住院医师进行过类似的研究。
目的：本研究旨在描述女性住院医师与男性住院医师相比EHR工作量的差异。
方法：本研究使用Epic的信号和医师效率概况（PEP）数据评估了2020年7月至2021年6月的156名梅奥诊所内科住院医师的12个月数据。Excel,BlueSky统计,采用SAS分析软件进行分析。配对t检验和方差分析用于按性别和研究生年（PGY）比较PEP数据。“男性”和“女性”被用来代替“性别”，这是文献中的先例。
方法：梅奥诊所内科住院医师。
方法：每天在EHR中花费的总时间；每天的入篮和笔记时间；每次预约的笔记时间；通过门户网站提出的患者建议请求数；消息周转时间。
结果：女性居民每年收到更多的患者建议请求（p=0.004），平均为86.7，而平均为68，导致每天工作的患者建议请求增加了34％（p<0.001）。女性居民每天花费更多的时间(p=0.002)，在每天的笔记中(p<0.001)，以及每次预约的笔记(p=0.001)。居民小组比较显示，女性（n=55）相对于男性（n=34）居民小组中女性患者明显更多（p<0.001）。消息周转时间没有区别，总消息,或收到的结果数。
结论：尽管结果数量和小组规模相当，但女性住院医师的患者主动信息和EHR工作量明显增多。收入负担中的性别差异可能会不成比例地影响居民的教育经历。
目的：本研究旨在描述女性住院医师与男性住院医师相比EHR工作量的差异。
方法：本研究使用Epic的信号和医师效率概况（PEP）数据评估了2020年7月至2021年6月的156名梅奥诊所内科住院医师的12个月数据。Excel,BlueSky统计,采用SAS分析软件进行分析。配对t检验和方差分析用于按性别和研究生年（PGY）比较PEP数据。“男性”和“女性”被用来代替“性别”，这是文献中的先例。
方法：梅奥诊所内科住院医师。
方法：每天在EHR中花费的总时间；每天的入篮和笔记时间；每次预约的笔记时间；通过门户网站提出的患者建议请求数；消息周转时间。
结果：女性居民每年收到更多的患者建议请求（p=0.004），平均为86.7，而平均为68，导致每天工作的患者建议请求增加了34％（p<0.001）。女性居民每天花费更多的时间(p=0.002)，在每天的笔记中(p<0.001)，以及每次预约的笔记(p=0.001)。居民小组比较显示，女性（n=55）相对于男性（n=34）居民小组中女性患者明显更多（p<0.001）。消息周转时间没有区别，总消息,或收到的结果数。
结论：尽管结果数量和小组规模相当，但女性住院医师的患者主动信息和EHR工作量明显增多。收入负担中的性别差异可能会不成比例地影响居民的教育经历。
