Perioperative Nursing Informatics Relevant Data Standard Research in the Context of Medical Big Data: Improving Patients? Health Behavior.

IF 2 4区医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH American journal of health behavior Pub Date : 2023-06-30 DOI:10.5993/AJHB.47.3.2

Fo Chen, Yi Zhu, Chaoliang Deng, Xinglian Gao

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Abstract

Objectives: Our objective was to determine the progress of perioperative nursing informatics relevant data standard research in the context of medical big data. We also determine the moderating impact of big data in healthcare between standard data and perioperative nursing informatics. Methods: We used Smart PLS for structual equation modeling and reviewed some recent literature and briefly discussed the progress on perioperative nursing standardized data in five aspects. Results: Our findings demonstrate that the direct impact of standard data and big data in healthcare is positively confirmed on perioperative nursing informatics. The moderating impact of big data in healthcare between standard data and perioperative nursing informatics is also confirmed. Conclusions: Our model is novel in the literature. Big data can be used by the healthcare system to the advanced level for patient record-keeping according to their health behavior and improving the methods of treatment.

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医疗大数据背景下围手术期护理信息学相关数据标准研究:改善患者?健康行为。

目的:了解医疗大数据背景下围手术期护理信息学相关数据标准研究进展。我们还在标准数据和围手术期护理信息学之间确定了大数据在医疗保健中的调节作用。方法:采用Smart PLS进行结构方程建模，回顾近期文献，从五个方面简要讨论围手术期护理规范化数据的研究进展。结果:我们的研究结果表明，医疗保健中的标准数据和大数据对围手术期护理信息学的直接影响是肯定的。大数据在医疗保健中的调节作用在标准数据和围手术期护理信息学之间也得到了证实。结论:我们的模型在文献中是新颖的。大数据可以被医疗系统运用到先进水平，根据患者的健康行为进行患者记录，改进治疗方法。

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来源期刊

American journal of health behavior PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

CiteScore

3.30

自引率

0.00%

发文量

期刊介绍： The Journal seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.