Suppr超能文献

电子健康记录是如何被使用的?利用电子健康记录数据评估医生在技术使用方面的个体差异。

How is the electronic health record being used? Use of EHR data to assess physician-level variability in technology use.

作者信息

Ancker Jessica S, Kern Lisa M, Edwards Alison, Nosal Sarah, Stein Daniel M, Hauser Diane, Kaushal Rainu

机构信息

Department of Healthcare Policy and Research, Center for Healthcare Informatics and Policy, Weill Cornell Medical College, New York, USA Health Information Technology Evaluation Collaborative (HITEC), New York, USA.

Institute for Family Health, New York, USA.

出版信息

J Am Med Inform Assoc. 2014 Nov-Dec;21(6):1001-8. doi: 10.1136/amiajnl-2013-002627. Epub 2014 Jun 9.

Abstract

BACKGROUND

Studies of the effects of electronic health records (EHRs) have had mixed findings, which may be attributable to unmeasured confounders such as individual variability in use of EHR features.

OBJECTIVE

To capture physician-level variations in use of EHR features, associations with other predictors, and usage intensity over time.

METHODS

Retrospective cohort study of primary care providers eligible for meaningful use at a network of federally qualified health centers, using commercial EHR data from January 2010 through June 2013, a period during which the organization was preparing for and in the early stages of meaningful use.

RESULTS

Data were analyzed for 112 physicians and nurse practitioners, consisting of 430,803 encounters with 99,649 patients. EHR usage metrics were developed to capture how providers accessed and added to patient data (eg, problem list updates), used clinical decision support (eg, responses to alerts), communicated (eg, printing after-visit summaries), and used panel management options (eg, viewed panel reports). Provider-level variability was high: for example, the annual average proportion of encounters with problem lists updated ranged from 5% to 60% per provider. Some metrics were associated with provider, patient, or encounter characteristics. For example, problem list updates were more likely for new patients than established ones, and alert acceptance was negatively correlated with alert frequency.

CONCLUSIONS

Providers using the same EHR developed personalized patterns of use of EHR features. We conclude that physician-level usage of EHR features may be a valuable additional predictor in research on the effects of EHRs on healthcare quality and costs.

摘要

背景

关于电子健康记录(EHRs)影响的研究结果不一,这可能归因于未测量的混杂因素,如EHR功能使用中的个体差异。

目的

了解医生层面在EHR功能使用上的差异、与其他预测因素的关联以及随时间的使用强度。

方法

对符合在联邦合格健康中心网络中实现有意义使用条件的初级保健提供者进行回顾性队列研究,使用2010年1月至2013年6月的商业EHR数据,在此期间该组织正为有意义使用做准备并处于早期阶段。

结果

对112名医生和执业护士的数据进行了分析,包括与99,649名患者的430,803次诊疗。开发了EHR使用指标来记录提供者如何访问和添加患者数据(如问题列表更新)、使用临床决策支持(如对警报的响应)、沟通(如打印就诊后总结)以及使用面板管理选项(如查看面板报告)。提供者层面的差异很大:例如,每位提供者更新问题列表的诊疗的年平均比例在5%至60%之间。一些指标与提供者、患者或诊疗特征相关。例如,新患者比老患者更有可能更新问题列表,警报接受率与警报频率呈负相关。

结论

使用相同EHR的提供者形成了个性化的EHR功能使用模式。我们得出结论,医生层面的EHR功能使用可能是研究EHRs对医疗质量和成本影响的一个有价值的额外预测因素。

相似文献

1
How is the electronic health record being used? Use of EHR data to assess physician-level variability in technology use.
J Am Med Inform Assoc. 2014 Nov-Dec;21(6):1001-8. doi: 10.1136/amiajnl-2013-002627. Epub 2014 Jun 9.
2
Associations between healthcare quality and use of electronic health record functions in ambulatory care.
J Am Med Inform Assoc. 2015 Jul;22(4):864-71. doi: 10.1093/jamia/ocv030. Epub 2015 Apr 20.
3
Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.
BMC Med Inform Decis Mak. 2017 Apr 10;17(1):36. doi: 10.1186/s12911-017-0430-8.
4
How are Electronic Health Records Associated with Provider Productivity and Billing in Orthopaedic Surgery?
Clin Orthop Relat Res. 2019 Nov;477(11):2443-2451. doi: 10.1097/CORR.0000000000000896.
5
Follow-up of Abnormal Estimated GFR Results Within a Large Integrated Health Care Delivery System: A Mixed-Methods Study.
Am J Kidney Dis. 2019 Nov;74(5):589-600. doi: 10.1053/j.ajkd.2019.05.003. Epub 2019 Jul 16.
7
Physician EHR Adoption and Potentially Preventable Hospital Admissions among Medicare Beneficiaries: Panel Data Evidence, 2010-2013.
Health Serv Res. 2016 Dec;51(6):2056-2075. doi: 10.1111/1475-6773.12586. Epub 2016 Oct 21.
8
Physician beliefs about the impact of meaningful use of the EHR: a cross-sectional study.
Appl Clin Inform. 2014 Aug 27;5(3):789-801. doi: 10.4338/ACI-2014-05-RA-0050. eCollection 2014.
10
National estimates of the impact of electronic health records on the workload of primary care physicians.
BMC Health Serv Res. 2016 May 10;16:172. doi: 10.1186/s12913-016-1422-6.

引用本文的文献

1
Relationships Among Physician Vendor-Derived Proficiency Score, Gender, and Time in the Electronic Health Record.
Fam Med. 2025 Jan;57(1):28-34. doi: 10.22454/FamMed.2024.678473. Epub 2024 Nov 12.
2
The Elements of Style for Interruptive Electronic Health Record Alerts.
Appl Clin Inform. 2025 Mar;16(2):402-408. doi: 10.1055/a-2508-7039. Epub 2024 Dec 31.
3
Unified Clinical Vocabulary Embeddings for Advancing Precision Medicine.
medRxiv. 2024 Dec 10:2024.12.03.24318322. doi: 10.1101/2024.12.03.24318322.
4
7
Inaccurate recording of routinely collected data items influences identification of COVID-19 patients.
Int J Med Inform. 2022 Sep;165:104808. doi: 10.1016/j.ijmedinf.2022.104808. Epub 2022 Jun 10.
9
"I didn't know you could do that": A Pilot Assessment of EHR Optimization Training.
ACI open. 2021;5(1):e27-e35. doi: 10.1055/s-0041-1731005. Epub 2021 Jun 27.
10
Association Between Proficiency and Efficiency in Electronic Health Records Among Pediatricians at a Major Academic Health System.
Front Digit Health. 2021 Sep 6;3:689646. doi: 10.3389/fdgth.2021.689646. eCollection 2021.

本文引用的文献

1
Overrides of medication-related clinical decision support alerts in outpatients.
J Am Med Inform Assoc. 2014 May-Jun;21(3):487-91. doi: 10.1136/amiajnl-2013-001813. Epub 2013 Oct 28.
3
The impact of electronic health records on people with diabetes in three different emergency departments.
J Am Med Inform Assoc. 2014 Feb;21(e1):e71-7. doi: 10.1136/amiajnl-2013-001804. Epub 2013 Jul 10.
5
The impact of electronic patient portals on patient care: a systematic review of controlled trials.
J Med Internet Res. 2012 Nov 26;14(6):e162. doi: 10.2196/jmir.2238.
7
Improving completeness of electronic problem lists through clinical decision support: a randomized, controlled trial.
J Am Med Inform Assoc. 2012 Jul-Aug;19(4):555-61. doi: 10.1136/amiajnl-2011-000521. Epub 2012 Jan 3.
9
The Triangle Model for evaluating the effect of health information technology on healthcare quality and safety.
J Am Med Inform Assoc. 2012 Jan-Feb;19(1):61-5. doi: 10.1136/amiajnl-2011-000385. Epub 2011 Aug 20.
10
The "meaningful use" regulation for electronic health records.
N Engl J Med. 2010 Aug 5;363(6):501-4. doi: 10.1056/NEJMp1006114. Epub 2010 Jul 13.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验