Design of Intelligent Pediatric Nursing Management Platform from the Perspective of Big Data
Journal: Advanced Journal of Nursing DOI: 10.32629/ajn.v5i3.2824
Abstract
With the popularization of network technology, the management mode of pediatric nurses has also changed. Because the traditional pediatric nursing work is restricted by the traditional mode, it not only affects the service quality of children's outpatient departments and wards, but also has a negative impact on the psychological and physical health of patients. Therefore, the development of an intelligent pediatric nursing management platform is a prerequisite for the realization of the whole process management of children. Pediatric nursing management is a comprehensive service platform, which is fundamental and public welfare, and is of great significance to achieve high-quality nursing services. Based on relevant experience, this paper designed and implemented an intelligent pediatric nursing management platform, which has certain practical value and can provide decision-making basis for clinical work.
Keywords
big data; intelligent platform; pediatric nursing; management platform; system design
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[3]Kirk D. Wyatt, Tyler J. Benning, Timothy I. Morgenthaler, Grace M. Arteaga:Development of a Taxonomy for Medication-Related Patient Safety Events Related to Health Information Technology in Pediatrics. Appl. Clin. Inform. 11(05): 714-724 (2020).
[4]Konstantinos V. Katsikopoulos, Marc C. Canellas:Decoding Human Behavior with Big Data? Critical, Constructive Input from the Decision Sciences. AI Mag. 43(1): 126-138 (2022).
[5]Marion Maisonobe:The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019). AI Soc. 37(1): 177-194 (2022).
[6]Clarisse Dhaenens, Laetitia Jourdan:Metaheuristics for data mining: survey and opportunities for big data. Ann. Oper. Res. 314(1): 117-140 (2022).
[7]Yi-Kuei Lin, Hoang Pham:Preface: reliability modeling with applications based on big data. Ann. Oper. Res. 311(1): 1-2 (2022).
[8]Narayan Prasad Nagendra, Gopalakrishnan Narayanamurthy, Roger Moser:Satellite big data analytics for ethical decision making in farmer's insurance claim settlement: minimization of type-I and type-II errors. Ann. Oper. Res. 315(2): 1061-1082 (2022).
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[12]Hari Mohan Rai, Kalyan Chatterjee:Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data. Appl. Intell. 52(5): 5366-5384 (2022).
Copyright © 2024 Hongxia Zhao, Junjun Zhang, Zhicheng Zhu, Jiangtao Du, Yahong Xiao
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