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疼痛管理信息模型:大数据分析。

Information Model on Pain Management: An Analysis of Big Data.

机构信息

School of Nursing, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, and Radiology Service Charge Nurse, Hospital de Clínicas de Porto Alegre, Rio Grande do Sul, Brazil.

Full Professor, School of Nursing, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.

出版信息

J Nurs Scholarsh. 2021 May;53(3):270-277. doi: 10.1111/jnu.12638. Epub 2021 Feb 27.

DOI:10.1111/jnu.12638
PMID:33638602
Abstract

PURPOSE

To develop an information model to support secondary use of data using electronic health records.

DESIGN

Retrospective observational data-driven study with secondary use of data. The sample was composed of structured data from all adults admitted to clinical and surgical inpatient units of a public university hospital. Data between June 2014 and July 2019 were included, totaling approximately 51,000 unique patients.

METHODS

Six systematic steps of the Applied Healthcare Data Science Roadmap were applied.

FINDINGS

An information model on pain management was developed.

CONCLUSIONS

The data science methodology used allowed the development of information model in pain management, mapping attributes about pain management and to categorize them into assessment and reassessment, goals, interventions, and outcomes.

CLINICAL RELEVANCE

Based on the information model developed, it is possible to optimize the electronic health system and improve the quality of patient care delivery in pain management.

摘要

目的

开发一个信息模型,以支持使用电子健康记录进行数据的二次利用。

设计

回顾性观察性数据驱动研究,对数据进行二次利用。样本由来自一所公立大学附属医院临床和外科住院部的所有成年人的结构化数据组成。纳入了 2014 年 6 月至 2019 年 7 月的数据,共计约 51,000 个独特患者。

方法

应用了医疗保健数据科学路线图的六个系统步骤。

结果

开发了一个疼痛管理信息模型。

结论

使用的数据科学方法允许在疼痛管理中开发信息模型,映射有关疼痛管理的属性,并将其分类为评估和再评估、目标、干预措施和结果。

临床相关性

基于开发的信息模型,可以优化电子健康系统,并提高疼痛管理中患者护理的质量。

相似文献

1
Information Model on Pain Management: An Analysis of Big Data.疼痛管理信息模型:大数据分析。
J Nurs Scholarsh. 2021 May;53(3):270-277. doi: 10.1111/jnu.12638. Epub 2021 Feb 27.
2
Pain Information Model and Its Potential for Predictive Analytics: Applicability of a Big Data Science Framework.疼痛信息模型及其在预测分析中的潜力:大数据科学框架的适用性。
J Nurs Scholarsh. 2021 May;53(3):315-322. doi: 10.1111/jnu.12648. Epub 2021 Mar 18.
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Using a New Measurement to Evaluate Pain Relief Among Cancer Inpatients with Clinically Significant Pain Based on a Nursing Information System: A Three-Year Hospital-Based Study.基于护理信息系统,采用一种新的测量方法评估有临床显著疼痛的癌症住院患者的疼痛缓解情况:一项为期三年的基于医院的研究。
Pain Med. 2016 Nov;17(11):2067-2075. doi: 10.1093/pm/pnw026. Epub 2016 Mar 19.
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A method for cohort selection of cardiovascular disease records from an electronic health record system.一种从电子健康记录系统中选择心血管疾病记录队列的方法。
Int J Med Inform. 2017 Jun;102:138-149. doi: 10.1016/j.ijmedinf.2017.03.015. Epub 2017 Mar 30.
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J Med Internet Res. 2021 Apr 13;23(4):e27275. doi: 10.2196/27275.
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Use of acupuncture for pain management in an academic Korean medicine hospital: a retrospective review of electronic medical records.针刺疗法在一家学术性韩医医院疼痛管理中的应用:电子病历的回顾性分析。
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Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.急诊科脓毒症患者院内死亡率的预测:一种基于本地大数据驱动的机器学习方法。
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Pain management documentation: analyzing one hospital's computerized clinical records.疼痛管理文档记录:分析一家医院的计算机化临床记录。
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Smart Medical Information Technology for Healthcare (SMITH).医疗保健智能医学信息技术(SMITH)。
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Research status, hotspots and perspectives of artificial intelligence applied to pain management: a bibliometric and visual analysis.人工智能应用于疼痛管理的研究现状、热点与展望:一项文献计量学与可视化分析
Updates Surg. 2025 Jun 28. doi: 10.1007/s13304-025-02296-w.
2
Information Model on pain management for elder adults aged 75 years or older.老年人(75 岁及以上)疼痛管理信息模型。
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The evolution of Big Data in neuroscience and neurology.神经科学与神经病学中大数据的发展
J Big Data. 2023;10(1):116. doi: 10.1186/s40537-023-00751-2. Epub 2023 Jul 10.