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本文引用的文献

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2
Artificial Intelligence in Lung Imaging.人工智能在肺部成像中的应用。
Semin Respir Crit Care Med. 2022 Dec;43(6):946-960. doi: 10.1055/s-0042-1755571. Epub 2022 Sep 29.
3
Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric Pneumonia.自然语言处理和机器学习在小儿肺炎治疗临床决策支持中的应用。
AMIA Annu Symp Proc. 2021 Jan 25;2020:1130-1139. eCollection 2020.
4
The COVID-19 Pandemic and Changes in Healthcare Utilization for Pediatric Respiratory and Nonrespiratory Illnesses in the United States.新型冠状病毒肺炎大流行与美国儿科呼吸道和非呼吸道疾病医疗利用的变化。
J Hosp Med. 2021 May;16(5):294-297. doi: 10.12788/jhm.3608.
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User-Centered Design in Pediatric Acute Care Settings Antimicrobial Stewardship.以用户为中心的设计在儿科急性护理环境中的抗菌药物管理。
Appl Clin Inform. 2021 Jan;12(1):34-40. doi: 10.1055/s-0040-1718757. Epub 2021 Jan 20.
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Application of contextual design methods to inform targeted clinical decision support interventions in sub-specialty care environments.语境设计方法在亚专科医疗环境中用于提供有针对性的临床决策支持干预措施的应用。
Int J Med Inform. 2018 Sep;117:55-65. doi: 10.1016/j.ijmedinf.2018.05.005. Epub 2018 May 30.
7
Predicting Severe Pneumonia Outcomes in Children.预测儿童重症肺炎的预后
Pediatrics. 2016 Oct;138(4). doi: 10.1542/peds.2016-1019.
8
Impact of an Electronic Clinical Decision Support Tool for Emergency Department Patients With Pneumonia.电子临床决策支持工具对急诊科肺炎患者的影响。
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10
Community-acquired pneumonia requiring hospitalization among U.S. children.美国儿童中需要住院治疗的社区获得性肺炎。
N Engl J Med. 2015 Feb 26;372(9):835-45. doi: 10.1056/NEJMoa1405870.

急诊科肺炎的预后临床决策支持:一项随机试验。

Prognostic clinical decision support for pneumonia in the emergency department: A randomized trial.

机构信息

Vanderbilt University Medical Center, Nashville, Tennessee, USA.

University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

出版信息

J Hosp Med. 2024 Sep;19(9):802-811. doi: 10.1002/jhm.13391. Epub 2024 May 26.

DOI:10.1002/jhm.13391
PMID:38797872
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11374114/
Abstract

BACKGROUND

Hospitalization rates for childhood pneumonia vary widely. Risk-based clinical decision support (CDS) interventions may reduce unwarranted variation.

METHODS

We conducted a pragmatic randomized trial in two US pediatric emergency departments (EDs) comparing electronic health record (EHR)-integrated prognostic CDS versus usual care for promoting appropriate ED disposition in children (<18 years) with pneumonia. Encounters were randomized 1:1 to usual care versus custom CDS featuring a validated pneumonia severity score predicting risk for severe in-hospital outcomes. Clinicians retained full decision-making authority. The primary outcome was inappropriate ED disposition, defined as early transition to lower- or higher-level care. Safety and implementation outcomes were also evaluated.

RESULTS

The study enrolled 536 encounters (269 usual care and 267 CDS). Baseline characteristics were similar across arms. Inappropriate disposition occurred in 3% of usual care encounters and 2% of CDS encounters (adjusted odds ratio: 0.99, 95% confidence interval: [0.32, 2.95]). Length of stay was also similar and adverse safety outcomes were uncommon in both arms. The tool's custom user interface and content were viewed as strengths by surveyed clinicians (>70% satisfied). Implementation barriers include intrinsic (e.g., reaching the right person at the right time) and extrinsic factors (i.e., global pandemic).

CONCLUSIONS

EHR-based prognostic CDS did not improve ED disposition decisions for children with pneumonia. Although the intervention's content was favorably received, low subject accrual and workflow integration problems likely limited effectiveness. Clinical Trials Registration: NCT06033079.

摘要

背景

儿童肺炎的住院率差异很大。基于风险的临床决策支持 (CDS) 干预措施可能会减少不必要的差异。

方法

我们在美国的两家儿科急诊部进行了一项实用随机试验,比较了电子病历 (EHR) 集成预测性 CDS 与常规护理在促进患有肺炎的儿童 (<18 岁) 适当的急诊处置方面的效果。以 1:1 的比例随机分配到常规护理与定制 CDS,后者采用经过验证的肺炎严重程度评分来预测住院期间严重结局的风险。临床医生保留了充分的决策自主权。主要结局是不合适的急诊处置,定义为早期向低级别或高级别护理的过渡。还评估了安全性和实施结果。

结果

该研究纳入了 536 例(269 例常规护理和 267 例 CDS)。两组的基线特征相似。常规护理组中不合适的处置发生率为 3%,CDS 组为 2%(调整后的优势比:0.99,95%置信区间:[0.32,2.95])。两组的住院时间也相似,且不良安全结局少见。调查临床医生认为该工具的定制用户界面和内容是优势(超过 70%的人满意)。实施障碍包括内在的(例如,在正确的时间找到正确的人)和外在的因素(即全球大流行)。

结论

基于 EHR 的预测性 CDS 并没有改善患有肺炎的儿童的急诊处置决策。尽管干预措施的内容受到好评,但由于入组人数少和工作流程整合问题,可能限制了其有效性。临床试验注册:NCT06033079。