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你有时刻吗?利用供应商电子健康记录衡量供应商效率面临的挑战。

Have you got the time? Challenges using vendor electronic health record metrics of provider efficiency.

机构信息

Department of Pediatrics, Division of General Pediatrics, Boston Children's Hospital, Massachusetts, USA.

Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.

出版信息

J Am Med Inform Assoc. 2020 Apr 1;27(4):644-646. doi: 10.1093/jamia/ocz222.

DOI:10.1093/jamia/ocz222
PMID:32016394
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7647287/
Abstract

The rise of clinician burnout has been correlated with the increased adoption of electronic health records (EHRs). Some vendors have used data entry logs to measure the amount of time spent using the EHR and have developed metrics of provider efficiency. Initial attempts to utilize these data have proven difficult as it is not always apparent whether variations reflect provider behavior or simply the metric definitions. Metric definitions are also updated intermittently without warning, making longitudinal assessment problematic. Because the metrics are based on proprietary algorithms, they are impossible to validate without costly time-motion studies and are also difficult to compare across institutions and vendors. Clinical informaticians must partner with vendors in order to develop industry standards of EHR use, which could then be used to examine the impact of EHRs on clinician burnout.

摘要

临床医生 burnout 的增加与电子健康记录 (EHR) 的广泛采用有关。一些供应商使用数据录入日志来衡量使用 EHR 的时间,并开发了提供者效率的指标。最初尝试利用这些数据证明是困难的,因为并不总是清楚变化是反映提供者的行为还是仅仅是指标定义。指标定义也会不定期更新,没有警告,使得纵向评估变得困难。由于这些指标是基于专有算法的,因此如果不进行昂贵的时间-动作研究,就不可能对其进行验证,而且在不同机构和供应商之间也很难进行比较。临床信息学家必须与供应商合作,制定 EHR 使用的行业标准,然后可以利用这些标准来检查 EHR 对临床医生 burnout 的影响。

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本文引用的文献

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Physician stress and burnout: the impact of health information technology.医生压力与倦怠:健康信息技术的影响。
J Am Med Inform Assoc. 2019 Feb 1;26(2):106-114. doi: 10.1093/jamia/ocy145.
2
Designing An Individualized EHR Learning Plan For Providers.为医疗服务提供者设计个性化的电子健康记录学习计划。
Appl Clin Inform. 2017;8(3):924-935. doi: 10.4338/ACI-2017-04-0054. Epub 2017 Dec 20.
3
Physician Burnout in the Electronic Health Record Era: Are We Ignoring the Real Cause?电子健康记录时代的医生职业倦怠:我们是否忽视了真正的原因?
Ann Intern Med. 2018 Jul 3;169(1):50-51. doi: 10.7326/M18-0139. Epub 2018 May 8.
4
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.
5
The extent and importance of unintended consequences related to computerized provider order entry.与计算机化医嘱录入相关的意外后果的程度及重要性。
J Am Med Inform Assoc. 2007 Jul-Aug;14(4):415-23. doi: 10.1197/jamia.M2373. Epub 2007 Apr 25.