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可视化分析仪表板有望改善高血压指南的实施。

Visual Analytics Dashboard Promises to Improve Hypertension Guideline Implementation.

机构信息

Department of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.

Department of Emergency Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.

出版信息

Am J Hypertens. 2021 Oct 27;34(10):1078-1082. doi: 10.1093/ajh/hpab081.

DOI:10.1093/ajh/hpab081
PMID:34043744
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8557440/
Abstract

BACKGROUND

Primary care management of hypertension under new guidelines incorporates assessment of cardiovascular disease risk and commonly requires review of electronic health record (EHR) data. Visual analytics can streamline the review of complex data and may lessen the burden clinicians face using the EHR. This study sought to assess the utility of a visual analytics dashboard in addition to EHR in managing hypertension in a primary care setting.

METHODS

Primary care physicians within an urban, academic internal medicine clinic were tasked with performing 2 simulated patient encounters for hypertension management: the first using standard EHR, and the second using EHR paired with a visual dashboard. The dashboard included graphical blood pressure trends with guideline-directed targets, calculated atherosclerotic cardiovascular disease risk score, and relevant medications. Guideline-appropriate antihypertensive prescribing, correct target blood pressure goal, and total encounter time were assessed.

RESULTS

We evaluated 70 case simulations. Use of the dashboard with the EHR compared with use of the EHR alone was associated with greater adherence to prescribing guidelines (95% vs. 62%, P < 0.001) and more correct identification of blood pressure target (95% vs. 57%, P < 0.01). Total encounter time fell an average of 121 seconds (95% confidence interval 69-157 seconds, P < 0.001) in encounters that used the dashboard combined with the EHR.

CONCLUSIONS

The integration of a hypertension-specific visual analytics dashboard with EHR demonstrates the potential to reduce time and improve hypertension guideline implementation. Further widespread testing in clinical practice is warranted.

摘要

背景

根据新指南,初级保健管理高血压需要评估心血管疾病风险,通常需要查看电子健康记录 (EHR) 数据。可视化分析可以简化对复杂数据的审查,并可能减轻临床医生使用 EHR 面临的负担。本研究旨在评估在初级保健环境中管理高血压时,可视化分析仪表板除了 EHR 之外的实用性。

方法

城市学术内科诊所的初级保健医生负责进行 2 次模拟高血压管理患者就诊:第一次使用标准 EHR,第二次使用 EHR 与可视化仪表板配对。仪表板包括图形血压趋势和指南导向的目标、计算出的动脉粥样硬化性心血管疾病风险评分以及相关药物。评估了指南适当的抗高血压药物处方、正确的目标血压目标和总就诊时间。

结果

我们评估了 70 个病例模拟。与单独使用 EHR 相比,使用 EHR 与仪表板结合使用与更高的处方指南依从性相关(95%对 62%,P < 0.001),并且更正确地确定了血压目标(95%对 57%,P < 0.01)。在使用仪表板结合 EHR 的就诊中,平均就诊时间减少了 121 秒(95%置信区间为 69-157 秒,P < 0.001)。

结论

将特定于高血压的可视化分析仪表板与 EHR 集成显示了减少时间和提高高血压指南实施的潜力。需要在临床实践中进一步广泛测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e2b/8557440/51419589429c/hpab081_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e2b/8557440/51419589429c/hpab081_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e2b/8557440/51419589429c/hpab081_fig1.jpg

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本文引用的文献

1
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Ann Intern Med. 2020 Oct 6;173(7):594-595. doi: 10.7326/L20-0278.
2
What are the most common conditions in primary care? Systematic review.基层医疗中最常见的病症有哪些?系统综述。
Can Fam Physician. 2018 Nov;64(11):832-840.
3
A Visual Analytics Approach to Understanding Care Process Variation and Conformance.一种用于理解护理过程变异与一致性的可视化分析方法。
疾病为导向的电子病历仪表盘对门诊肺动脉高压护理诊所就诊前患者审查中临床工作人员效率的影响。
Appl Clin Inform. 2024 Oct;15(5):928-938. doi: 10.1055/s-0044-1790552. Epub 2024 Nov 6.
4
The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review.可视化在估计心血管疾病风险中的作用:范围综述。
JMIR Public Health Surveill. 2024 Oct 14;10:e60128. doi: 10.2196/60128.
5
Development and usability of an EHR-driven hypertension disparities dashboard in primary care: A qualitative study.电子健康记录驱动的初级保健高血压差异仪表板的开发和可用性:一项定性研究。
J Clin Hypertens (Greenwich). 2024 Jul;26(7):797-805. doi: 10.1111/jch.14834. Epub 2024 Jun 8.
Proc 2015 Workshop Vis Anal Healthc (2015). 2015 Oct;2015. doi: 10.1145/2836034.2836040.
4
2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.2017美国心脏病学会/美国心脏协会/美国医师协会/美国心脏病学学会/美国预防医学学院/美国老年病学会/美国药学协会/美国血液学会/美国预防医学学会/美国医学协会/美国初级保健医师学会成人高血压预防、检测、评估和管理指南:美国心脏病学会/美国心脏协会临床实践指南工作组报告
J Am Coll Cardiol. 2018 May 15;71(19):e127-e248. doi: 10.1016/j.jacc.2017.11.006. Epub 2017 Nov 13.
5
Assessing Cardiovascular Risk to Guide Hypertension Diagnosis and Treatment.评估心血管风险以指导高血压诊断与治疗。
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6
Big data and visual analytics in anaesthesia and health care.大数据与麻醉学和医疗保健中的可视化分析。
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7
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Int J Med Inform. 2015 Feb;84(2):87-100. doi: 10.1016/j.ijmedinf.2014.10.001. Epub 2014 Oct 12.
8
Innovative information visualization of electronic health record data: a systematic review.电子健康记录数据的创新信息可视化:一项系统综述。
J Am Med Inform Assoc. 2015 Mar;22(2):330-9. doi: 10.1136/amiajnl-2014-002955. Epub 2014 Oct 21.
9
Optimization of drug-drug interaction alert rules in a pediatric hospital's electronic health record system using a visual analytics dashboard.利用可视化分析仪表板优化儿科医院电子病历系统中的药物相互作用警报规则。
J Am Med Inform Assoc. 2015 Mar;22(2):361-9. doi: 10.1136/amiajnl-2013-002538. Epub 2014 Oct 15.
10
Effect of clinical decision-support systems: a systematic review.临床决策支持系统的效果:系统评价。
Ann Intern Med. 2012 Jul 3;157(1):29-43. doi: 10.7326/0003-4819-157-1-201207030-00450.