• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Assessment of Electronic Health Record Use Between US and Non-US Health Systems.评估美国与非美国医疗体系间电子健康记录的使用情况。
JAMA Intern Med. 2021 Feb 1;181(2):251-259. doi: 10.1001/jamainternmed.2020.7071.
2
Gender Differences in Electronic Health Record Usage Among Surgeons.外科医生电子病历使用中的性别差异。
JAMA Netw Open. 2024 Jul 1;7(7):e2421717. doi: 10.1001/jamanetworkopen.2024.21717.
3
Comparison of Work Patterns Between Physicians and Advanced Practice Practitioners in Primary Care and Specialty Practice Settings.比较初级保健和专科医疗机构中医生和高级实践从业者的工作模式。
JAMA Netw Open. 2023 Jun 1;6(6):e2318061. doi: 10.1001/jamanetworkopen.2023.18061.
4
Assessing the impact of the COVID-19 pandemic on clinician ambulatory electronic health record use.评估 COVID-19 大流行对临床医生门诊电子健康记录使用的影响。
J Am Med Inform Assoc. 2022 Jan 29;29(3):453-460. doi: 10.1093/jamia/ocab268.
5
Association between state-level malpractice environment and clinician electronic health record (EHR) time.州级医疗事故环境与临床医生电子健康记录 (EHR) 时间之间的关联。
J Am Med Inform Assoc. 2022 May 11;29(6):1069-1077. doi: 10.1093/jamia/ocac034.
6
Physician Note Composition Patterns and Time on the EHR Across Specialty Types: a National, Cross-sectional Study.医师记录书写模式与各专科类型电子病历使用时间:一项全国性、横断面研究。
J Gen Intern Med. 2023 Apr;38(5):1119-1126. doi: 10.1007/s11606-022-07834-5. Epub 2022 Nov 23.
7
Changes in Physician Electronic Health Record Use With the Expansion of Telemedicine.随着远程医疗的扩展,医生电子健康记录使用的变化。
JAMA Intern Med. 2023 Dec 1;183(12):1357-1365. doi: 10.1001/jamainternmed.2023.5738.
8
Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.受制于电子健康记录:使用电子健康记录事件日志数据和时间动作观察法评估基层医疗医生的工作量
Ann Fam Med. 2017 Sep;15(5):419-426. doi: 10.1370/afm.2121.
9
Documentation dynamics: Note composition, burden, and physician efficiency.文档动态:记录的构成、负担和医生效率。
Health Serv Res. 2023 Jun;58(3):674-685. doi: 10.1111/1475-6773.14097. Epub 2022 Nov 21.
10
Clinician Burnout Associated With Sex, Clinician Type, Work Culture, and Use of Electronic Health Records.临床医生职业倦怠与性别、医生类型、工作文化以及电子健康记录的使用有关。
JAMA Netw Open. 2021 Apr 1;4(4):e215686. doi: 10.1001/jamanetworkopen.2021.5686.

引用本文的文献

1
Trends in electronic health record metadata use for management purposes.用于管理目的的电子健康记录元数据使用趋势。
Learn Health Syst. 2025 Feb 13;9(3):e70001. doi: 10.1002/lrh2.70001. eCollection 2025 Jul.
2
Effect of a generative artificial intelligence digital scribe on pediatric provider documentation time, cognitive burden, and burnout.生成式人工智能数字书记员对儿科医疗服务提供者的文档记录时间、认知负担和职业倦怠的影响。
JAMIA Open. 2025 Jul 3;8(4):ooaf068. doi: 10.1093/jamiaopen/ooaf068. eCollection 2025 Aug.
3
Effect of Tailored Coaching on Physicians' Electronic Health Record Proficiency and User Experience: A Randomized Crossover Study.个性化辅导对医生电子健康记录熟练程度和用户体验的影响:一项随机交叉研究。
Mayo Clin Proc Digit Health. 2023 Apr 6;1(2):94-104. doi: 10.1016/j.mcpdig.2023.02.005. eCollection 2023 Jun.
4
Association of delayed asthma diagnosis with asthma exacerbations in children.儿童哮喘延迟诊断与哮喘急性加重的关联。
J Allergy Clin Immunol Glob. 2025 Jan 16;4(2):100409. doi: 10.1016/j.jacig.2025.100409. eCollection 2025 May.
5
Electronic health record in military healthcare systems: A systematic review.军事医疗系统中的电子健康记录:一项系统综述。
PLoS One. 2025 Feb 12;20(2):e0313641. doi: 10.1371/journal.pone.0313641. eCollection 2025.
6
The potential of Generative Pre-trained Transformer 4 (GPT-4) to analyse medical notes in three different languages: a retrospective model-evaluation study.生成式预训练变换器4(GPT-4)分析三种不同语言医学笔记的潜力:一项回顾性模型评估研究。
Lancet Digit Health. 2025 Jan;7(1):e35-e43. doi: 10.1016/S2589-7500(24)00246-2.
7
How Do Researchers Identify and Recruit Dementia Caregivers? A Scoping Review.研究人员如何识别和招募痴呆症护理人员?一项范围综述。
Gerontologist. 2024 Dec 17;65(2). doi: 10.1093/geront/gnae189.
8
Unlocking the transformative potential of data science in improving maternal, newborn and child health in Africa: a scoping review protocol.挖掘数据科学在改善非洲孕产妇、新生儿和儿童健康方面的变革潜力:一项范围综述方案
BMJ Open. 2024 Dec 10;14(12):e091883. doi: 10.1136/bmjopen-2024-091883.
9
The user-centered design and development of a childhood and adolescent obesity Electronic Health Record tool, a mixed-methods study.以用户为中心的儿童和青少年肥胖电子健康记录工具的设计与开发:一项混合方法研究
Front Digit Health. 2024 Sep 18;6:1396085. doi: 10.3389/fdgth.2024.1396085. eCollection 2024.
10
Electronic Health Record Usability, Satisfaction, and Burnout for Family Physicians.家庭医生的电子健康记录可用性、满意度和倦怠情况。
JAMA Netw Open. 2024 Aug 1;7(8):e2426956. doi: 10.1001/jamanetworkopen.2024.26956.

本文引用的文献

1
Are specific elements of electronic health record use associated with clinician burnout more than others?电子健康记录的使用是否与临床医生的倦怠感有关,是否与某些特定元素有关,而与其他元素无关?
J Am Med Inform Assoc. 2020 Jul 1;27(9):1401-1410. doi: 10.1093/jamia/ocaa092.
2
Association of Perceived Electronic Health Record Usability With Patient Interactions and Work-Life Integration Among US Physicians.美国医生感知电子健康记录可用性与患者互动和工作-生活融合的关联。
JAMA Netw Open. 2020 Jun 1;3(6):e207374. doi: 10.1001/jamanetworkopen.2020.7374.
3
Frequency and Causes of Burnout in US Community Oncologists in the Era of Electronic Health Records.电子病历时代美国社区肿瘤医生的倦怠频率和原因。
JCO Oncol Pract. 2020 Apr;16(4):e357-e365. doi: 10.1200/JOP.19.00542.
4
Metrics for assessing physician activity using electronic health record log data.使用电子健康记录日志数据评估医师活动的指标。
J Am Med Inform Assoc. 2020 Apr 1;27(4):639-643. doi: 10.1093/jamia/ocz223.
5
Electronic health records and burnout: Time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians.电子健康记录与倦怠:工作时间外查看电子健康记录的时间以及信息数量与初级保健临床医生的疲惫感相关,但与犬儒主义无关。
J Am Med Inform Assoc. 2020 Apr 1;27(4):531-538. doi: 10.1093/jamia/ocz220.
6
Physician Time Spent Using the Electronic Health Record During Outpatient Encounters: A Descriptive Study.医生在门诊就诊期间使用电子健康记录的时间:一项描述性研究。
Ann Intern Med. 2020 Feb 4;172(3):169-174. doi: 10.7326/M18-3684. Epub 2020 Jan 14.
7
Electronic Health Record Time Among Outpatient Physicians: Reflections on the Who, What, and Why.门诊医生的电子健康记录时间:关于何人、何事及为何的思考
Ann Intern Med. 2020 Feb 4;172(3):212-213. doi: 10.7326/M19-3921. Epub 2020 Jan 14.
8
The Association Between Perceived Electronic Health Record Usability and Professional Burnout Among US Physicians.美国医生感知的电子健康记录易用性与职业倦怠之间的关联。
Mayo Clin Proc. 2020 Mar;95(3):476-487. doi: 10.1016/j.mayocp.2019.09.024. Epub 2019 Nov 14.
9
Physicians' Well-Being Linked To In-Basket Messages Generated By Algorithms In Electronic Health Records.医生的幸福感与电子病历中算法生成的收件箱信息有关。
Health Aff (Millwood). 2019 Jul;38(7):1073-1078. doi: 10.1377/hlthaff.2018.05509.
10
Estimating the Attributable Cost of Physician Burnout in the United States.估算美国医生倦怠的归因成本。
Ann Intern Med. 2019 Jun 4;170(11):784-790. doi: 10.7326/M18-1422. Epub 2019 May 28.

评估美国与非美国医疗体系间电子健康记录的使用情况。

Assessment of Electronic Health Record Use Between US and Non-US Health Systems.

机构信息

Interfaculty Initiative in Health Policy, Harvard University, Cambridge, Massachusetts.

Harvard Business School, Boston, Massachusetts.

出版信息

JAMA Intern Med. 2021 Feb 1;181(2):251-259. doi: 10.1001/jamainternmed.2020.7071.

DOI:10.1001/jamainternmed.2020.7071
PMID:33315048
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7737152/
Abstract

IMPORTANCE

Understanding how the electronic health record (EHR) system changes clinician work, productivity, and well-being is critical. Little is known regarding global variation in patterns of use.

OBJECTIVE

To provide insights into which EHR activities clinicians spend their time doing, the EHR tools they use, the system messages they receive, and the amount of time they spend using the EHR after hours.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed the deidentified metadata of ambulatory care health systems in the US, Canada, Northern Europe, Western Europe, the Middle East, and Oceania from January 1, 2019, to August 31, 2019. All of these organizations used the EHR software from Epic Systems and represented most of Epic Systems's ambulatory customer base. The sample included all clinicians with scheduled patient appointments, such as physicians and advanced practice practitioners.

EXPOSURES

Clinician EHR use was tracked by deidentified and aggregated metadata across a variety of clinical activities.

MAIN OUTCOMES AND MEASURES

Descriptive statistics for clinician EHR use included time spent on clinical activities, note documentation (as measured by the percentage of characters in the note generated by automated or manual data entry source), messages received, and time spent after hours.

RESULTS

A total of 371 health systems were included in the sample, of which 348 (93.8%) were located in the US and 23 (6.2%) were located in other countries. US clinicians spent more time per day actively using the EHR compared with non-US clinicians (mean time, 90.2 minutes vs 59.1 minutes; P < .001). In addition, US clinicians vs non-US clinicians spent significantly more time performing 4 clinical activities: notes (40.7 minutes vs 30.7 minutes; P < .001), orders (19.5 minutes vs 8.75 minutes; P < .001), in-basket messages (12.5 minutes vs 4.80 minutes; P < .001), and clinical review (17.6 minutes vs 14.8 minutes; P = .01). Clinicians in the US composed more automated note text than their non-US counterparts (77.5% vs 60.8% of note text; P < .001) and received statistically significantly more messages per day (33.8 vs 12.8; P < .001). Furthermore, US clinicians used the EHR for a longer time after hours, logging in 26.5 minutes per day vs 19.5 minutes per day for non-US clinicians (P = .01). The median US clinician spent as much time actively using the EHR per day (90.1 minutes) as a non-US clinician in the 99th percentile of active EHR use time per day (90.7 minutes) in the sample. These results persisted after controlling for organizational characteristics, including structure, type, size, and daily patient volume.

CONCLUSIONS AND RELEVANCE

This study found that US clinicians compared with their non-US counterparts spent substantially more time actively using the EHR for a wide range of clinical activities or tasks. This finding suggests that US clinicians have a greater EHR burden that may be associated with nontechnical factors, which policy makers and health system leaders should consider when addressing clinician wellness.

摘要

重要性

了解电子健康记录 (EHR) 系统如何改变临床医生的工作、生产力和幸福感至关重要。关于使用模式的全球差异,人们知之甚少。

目的

深入了解临床医生在哪些 EHR 活动上花费时间,使用哪些 EHR 工具,接收哪些系统消息,以及下班后使用 EHR 的时间。

设计、地点和参与者:这项横断面研究分析了来自美国、加拿大、北欧、西欧、中东和大洋洲的卫生系统的匿名元数据,时间范围为 2019 年 1 月 1 日至 2019 年 8 月 31 日。这些组织都使用了来自 Epic Systems 的 EHR 软件,代表了 Epic Systems 的大部分门诊客户群。样本包括所有有预约患者的临床医生,如医生和高级执业医师。

暴露情况

临床医生的 EHR 使用情况通过各种临床活动的匿名和聚合元数据进行跟踪。

主要结果和措施

临床医生 EHR 使用的描述性统计数据包括用于临床活动的时间、笔记记录(通过自动或手动数据输入源生成的笔记中的字符百分比来衡量)、接收的消息以及下班后使用的时间。

结果

共有 371 个卫生系统被纳入样本,其中 348 个(93.8%)位于美国,23 个(6.2%)位于其他国家。与非美国临床医生相比,美国临床医生每天主动使用 EHR 的时间要长(平均时间分别为 90.2 分钟和 59.1 分钟;P < .001)。此外,与非美国临床医生相比,美国临床医生在以下 4 项临床活动中花费的时间明显更多:笔记(40.7 分钟和 30.7 分钟;P < .001)、医嘱(19.5 分钟和 8.75 分钟;P < .001)、收件箱消息(12.5 分钟和 4.80 分钟;P < .001)和临床审查(17.6 分钟和 14.8 分钟;P = .01)。美国临床医生撰写的自动化笔记文本比非美国临床医生多(77.5%比 60.8%的笔记文本;P < .001),每天收到的消息数量也明显更多(33.8 条和 12.8 条;P < .001)。此外,美国临床医生下班后使用 EHR 的时间更长,每天登录 26.5 分钟,而非美国临床医生为 19.5 分钟(P = .01)。在考虑了组织特征(包括结构、类型、规模和每日患者量)后,美国临床医生每天积极使用 EHR 的中位数(90.1 分钟)与样本中每天积极使用 EHR 时间排在第 99 百分位的非美国临床医生(90.7 分钟)相当。这些结果在控制了临床医生的工作负荷和患者的病情复杂性后仍然存在。

结论和相关性

这项研究发现,与非美国临床医生相比,美国临床医生在广泛的临床活动或任务中花费了大量时间主动使用 EHR。这一发现表明,美国临床医生的 EHR 负担更大,这可能与非技术因素有关,政策制定者和卫生系统领导者在解决临床医生的健康问题时应考虑这些因素。