护理管理最小数据集:展示大数据科学时代护士人员配置价值的成本效益工具。

IF 1.2 4区 医学 Q3 NURSING
Nursing Economics Pub Date : 2016-03-01
Lisiane Pruinelli, Connie W Delaney, Amy Garciannie, Barbara Caspers, Bonnie L Westra
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引用次数: 0

摘要

越来越多的证据表明,护士人员配备与患者、护士和财务结果之间存在关系。随着大数据科学的出现和护理大数据分析的发展,数据科学与大数据的重用正在成为一种及时和经济有效的方法来展示护理价值。护理管理最小数据集(NMMDS)提供了标准的管理数据元素、定义和代码,以衡量提供护理的环境,从而衡量护理的价值。NMMDS要素在当前卫生系统中的整合为护理领导者衡量和管理决策提供了证据,从而改善患者、人员和财务结果。它还使临床奖学金和研究的数据重用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nursing Management Minimum Data Set: Cost-Effective Tool To Demonstrate the Value of Nurse Staffing in the Big Data Science Era.

There is a growing body of evidence of the relationship of nurse staffing to patient, nurse, and financial outcomes. With the advent of big data science and developing big data analytics in nursing, data science with the reuse of big data is emerging as a timely and cost-effective approach to demonstrate nursing value. The Nursing Management Minimum Date Set (NMMDS) provides standard administrative data elements, definitions, and codes to measure the context where care is delivered and, consequently, the value of nursing. The integration of the NMMDS elements in the current health system provides evidence for nursing leaders to measure and manage decisions, leading to better patient, staffing, and financial outcomes. It also enables the reuse of data for clinical scholarship and research.

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来源期刊
Nursing Economics
Nursing Economics 医学-护理
自引率
16.70%
发文量
0
期刊介绍: Nursing Economic$ advances nursing leadership in health care, with a focus on tomorrow, by providing information and thoughtful analyses of current and emerging best practices in health care management, economics, and policymaking. The journal supports nurse leaders and others who are responsible for directing nursing''s impact on health care cost and quality outcomes. The journal is published six times per year.
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