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Perioperative Nursing Informatics Relevant Data Standard Research in the Context of Medical Big Data: Improving
Fo Chen1, Yi Zhu2, Chaoliang Deng3
1School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Operating Room, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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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