眼科学术机构电子病历使用中的性别差异

Madeline Ngo , Whitney Stuard Sambhariya , Madeline Myers , Jennifer Cao , Shivani Kamat , Melanie Truong-Le
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摘要

目的 评估一家大型三级学术中心的女性和男性眼科医生在 EMR 交互方面的性别差异。主要结果是男性和女性眼科医生在与 EMR 交互的时间和篮内信息负载方面的差异。统计分析根据每位医生的患者小组规模、患者小组性别分类和预约次数进行了调整。结果共有 30 位眼科医生,其中 8 位(27%)为女性。女性眼科医生的平均工作年限明显较短(5.62 ± 8.24 年 vs 15.26 ± 13.34 年,p = 0.028)。在 12 个月的分析期间,女性和男性眼科医生接诊的患者总数没有明显差异。但是,女性眼科医生在电子病历系统中花费的总时间比男性多 69.6%(409vs 241 h/MD,p < 0.001)。女性眼科医生在任务导向的篮内部分(如病人通知、员工信息和结果)上花费的时间比男性多 118%(18 小时 vs 8 小时/MD,p < 0.001)。女性眼科医生收到的篮内信息也更多,其中患者通知信息量明显高出 750%(187 对 22,p < 0.001),而男性眼科医生收到的 Care Everywhere 功能通知(14 对 3,p < 0.001)和医院信息(477 对 233,p = 0.002)也更多。尽管患者面板和预约完成率相当,但女性眼科医生在 EMR 系统中花费的时间明显更长,收到的篮内信息和任务指导信息也明显更多。这些发现强调了进一步研究解决性别差异和促进眼科实践环境中性别平等的必要性。
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Gender based differences in electronic medical record utilization in an academic ophthalmology practice

Purpose

To evaluate gender differences in EMR interaction among female and male ophthalmologists at a large tertiary academic center.

Design

Retrospective, cross sectional analysis

Methods

Data from Electronic Medical Record (EMR) system log files and health system administrative data from May 2022 to May 2023 were collected at an academic center. Primary outcomes were differences in time spent interacting with the EMR and In-basket message load between male and female ophthalmologists. Statistical analysis was adjusted for each physicians’ patient panel size, patient panel gender breakdown, and number of appointments.

Results

There were 30 ophthalmologists, 8 (27%) of whom were female. There was a significantly shorter mean length of employment for female ophthalmologists (5.62 ± 8.24 vs 15.26 ± 13.34 years, p = 0.028). In the 12-month analysis period, there was no significant difference in the total number of patients seen between female and male ophthalmologists. However, female ophthalmologists spent 69.6% more total time in the EMR system (409vs 241 h/MD, p < 0.001). Female ophthalmologists spent 118% more time on task oriented in-basket sections such as patient notification, staff messages, and results (18 vs 8 h/ MD, p < 0.001). Female ophthalmologists also received more in-basket messages, with a notable 750% higher volume of patient notification messages (187 vs 22, p < 0.001) while male ophthalmologists received more Care Everywhere functionality notifications (14 vs 3, p < 0.001) and hospital messages (477 vs 233, p = 0.002).

Conclusions

In our cohort, male ophthalmologists’ mean duration of employment was nearly 3 times longer than female ophthalmologists. Despite comparable patient panels and appointment completion rates, female ophthalmologists spent significantly more time in the EMR system and received significantly more in-basketand task directed messages. These findings underscore the need for further studies addressing gender disparities and promoting gender equity in ophthalmology practice settings.
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