Login Register Cart 0
Generic placeholder image

Recent Advances in Computer Science and Communications

Editor-in-Chief

ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

Back
Journal Home About Journal Editorial Board Current Issue Volumes/Issues
Subscribe
Research Article

Research on Monitoring System of Daily Statistical Indexes Through Big Data

Author(s): ShengLi Hu*

Volume 15, Issue 5, 2022

Published on: 13 November, 2020

Article ID: e060422187983 Pages: 10

DOI: 10.2174/2666255813999201113124021

Price: $65

Abstract

Objectives: By constructing a monitoring system, the dynamic monitoring of various statistical indexes is realized, and scientific evaluation is carried out at the same time, so as to promote the rational allocation of medical resources in hospitals and facilitate management.

Methods: Starting from the design of the monitoring system database and main functions, the development of the monitoring system is initiated through index collection, interface configuration, report display, data warehouse construction, etc., and then the key and difficult points of the system construction are analyzed.

Results: To build a daily statistical index monitoring system under the background of big data, and help hospital managers master the actual operation of hospital medical quality, medical technology and resources.

Conclusion: Improving the level of statistical informatization and ensuring the quality of statistical data is of great significance.

Keywords: Big data, monitoring system, daily statistics, data acquisition, interface configuration, HQMS.

Graphical Abstract

[1]
W.E.N.X.I.N. Du, and L.I. Dongcheng, "Significance of symptom monitoring in early warning of public health emergencies", J. Community Med., vol. 17, no. 7, pp. 425-427, 2019.
[2]
Y.U. Min, X.U. Zhi, and W. Ming, "Research on Key Techniques of a Real-time Medical Tele-monitoring System", Space Med. Med. Eng. (Beijing), vol. 32, no. 3, pp. 221-228, 2019.
[3]
Y.U.A.N. Xinyi, W.A.N.G. Jiali, and Q.I.U. Yiqing, "Real-time monitoring system for freezing of gait in Parkinson disease", Beijing Biomedical Engineering, vol. 38, no. 2, pp. 182-189, 2019.
[4]
Y.A.N.G. Xu, Y.U. Shui, and Z.H.O.N.G. Tangsheng, "Investigation on Training Needs of Nurses of Different Energy Levels for Prescription Automatic Screening System", Journal of Changchun University of Traditional Chinese Medicine, vol. 35, no. 4, pp. 763-766, 2019.
[5]
H.U.A.N.G. Xiangyue, H.U. Zhaoyan, and L.U.O. Yuzhou, "Method Research Analysis of Sleep Monitoring System and Its Classification Modes", Shanghai of Biomedical Engineering, vol. 40, no. 1, pp. 16-20, 2019.
[6]
T.A.N.G. Chenghe, W.A.N.G. Qiannan, and S.U.N. Yazhou, "Clinical Application of B8 Neonatal Incubation Surveillance System", China Medical Device Information, vol. 25, no. 19, pp. 39-41, 2019.
[7]
Y. Zhao, Y. Xue, Y. Zhang, W. Li, and Z. Qian, "[Development of Blood Flow and Oxygen Monitoring System for Mice Based on Laser Speckle and Spectrum", Zhongguo Yi Liao Qi Xie Za Zhi, vol. 43, no. 1, pp. 1-4, 2019.
[PMID: 30770680]
[8]
H. Geng, X.H. Chen, J.L. Du, Y.J. Wang, and M.L. Liu, "[Analysis on the characteristics of postural blood pressure changes recorded with continuous non-invasive arterial pressure monitoring system and the correlative factors in elderly hospitalized patients", Zhonghua Xin Xue Guan Bing Za Zhi, vol. 47, no. 5, pp. 381-387, 2019.
[PMID: 31142082]
[9]
T. Cai, and S.Y. Zhan, "[Develop the active surveillance system for vaccine safety in China", Zhonghua Yu Fang Yi Xue Za Zhi, vol. 53, no. 7, pp. 664-667, 2019.
[PMID: 31288335]
[10]
Z.H.A.N.G. Lili, Y.A.N.G. Longpin, and D.O.N.G. Fangjie, "Survey and Analysis on Health Big Data Resource in China", Chinese Journal of Health Informatics and Management, vol. 16, no. 3, pp. 263-267, 2019.
[11]
S.H.E.N. Lining, L.I. Yuefeng, and Z.H.A.N.G. Xuegao, "Study on Health Big Data Resource Coding Model in China", Chinese Journal of Health Informatics and Management, vol. 16, no. 3, pp. 272-275, 2019.
[12]
J. Wu, S. Guo, and H. Huang, "Information and Communications Technologies for Sustainable Development Goals: State-of-the-Art, Needs and Perspectives", IEEE Commun. Surv. Tutor., vol. 20, no. 3, pp. 2389-2406, 2018.
[http://dx.doi.org/10.1109/COMST.2018.2812301]
[13]
R. Atat, L. Liu, and J. Wu, "Big Data Meet Cyber-Physical Systems: A Panoramic Survey", IEEE Access, vol. 6, pp. 73603-73636, 2018.
[http://dx.doi.org/10.1109/ACCESS.2018.2878681]
[14]
G. Li, J. Wu, and Z. Chen, "Performance analysis and evaluation for active antenna arrays under three-dimensional wireless channel mode", IEEE Access, vol. 6, pp. 19131-19139, 2018.
[http://dx.doi.org/10.1109/ACCESS.2018.2791429]
[15]
"Bahareh, AlamiMilaniNima, JafariNavimipour. A systematic literature review of the data replication techniques in the cloud environments", Big Data Research, vol. 10, pp. 1-7, 2017.
[http://dx.doi.org/10.1016/j.bdr.2017.06.003]
[16]
A. Pashazadeh, and N.J. Navimipour, "Big data handling mechanisms in the healthcare applications: A comprehensive and systematic literature review", J. Biomed. Inform., vol. 82, pp. 47-62, 2018.
[http://dx.doi.org/10.1016/j.jbi.2018.03.014] [PMID: 29655946]
[17]
J. Wu, S. Guo, and J. Li, "Big Data Meet Green Challenges: Big Data toward Green Applications", IEEE Syst. J., vol. 10, no. 3, pp. 888-900, 2016.
[http://dx.doi.org/10.1109/JSYST.2016.2550530]
[18]
J. Wu, S. Guo, and J. Li, "Big Data Meet Green Challenges: Greening Big Data", IEEE Syst. J., vol. 10, no. 3, pp. 873-887, 2016.
[http://dx.doi.org/10.1109/JSYST.2016.2550538]
[19]
S.N. Khezr, and N.J. Navimipour, "MapReduce and its application in optimization algorithms: A comprehensive study", Majlesi Journal of Multimedia Processing, vol. 4, no. 3, pp. 29-33, 2015.
[20]
S.N. Khezr, and N.J. Navimipour, "MapReduce and its applications, challenges, and architecture: a comprehensive review and directions for future research", J. Grid Comput., vol. 15, no. 3, pp. 295-321, 2017.
[http://dx.doi.org/10.1007/s10723-017-9408-0]
[21]
K. Hamedani, L. Liu, and J. Wu, Reservoir Computing Meets Smart Grids: Attack Detection using Delayed Feedback Networks IEEE Trans. Industr. Inform., vol. 14, no. 2, pp, 2018, pp. 734-743.
[http://dx.doi.org/10.1109/TII.2017.2769106]

Rights & Permissions Print Cite
Article Metrics
33
2
© 2024 Bentham Science Publishers | Privacy Policy