The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness

被引：14
|
作者：
Hertelendy, Attila J. [1 ,2 ]
Goniewicz, Krzysztof [3 ]
Khorram-Manesh, Amir [4 ,5 ]
机构：
[1] Florida Int Univ, Coll Business, Dept Informat Syst & Business Analyt, Miami, FL 33174 USA
[2] Beth Israel Deaconess Med Ctr, Dept Emergency Med, Disaster Med Fellowship, Boston, MA USA
[3] Mil Univ Aviat, Dept Aviat Secur, PL-08521 Deblin, Poland
[4] Gothenburg Univ, Sahlgrenska Acad, Dept Surg, Inst Clin Sci, S-41345 Gothenburg, Sweden
[5] Armed Forces Ctr Def Med, Dept Dev & Res, S-42676 Gothenburg, Sweden
来源：
AMERICAN JOURNAL OF EMERGENCY MEDICINE | 2021年 / 45卷
关键词：
D O I：
10.1016/j.ajem.2020.10.049
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
引用
收藏
页码：671 / 672
页数：2
相关论文
共 50 条
  • [31] Health Informatics: Clinical Information Systems and Artificial Intelligence to Support Medicine in the CoViD-19 Pandemic
    Combi, Carlo
    Pozzi, Giuseppe
    2021 IEEE 9TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2021), 2021, : 480 - 488
  • [32] Disaster medicine and pandemic response: A novel curriculum to improve understanding of complex care delivery during the COVID-19 pandemic
    Peterson, Todd
    Wallace, Doug
    Evans, Joel
    Edwards, Andrew
    Patel, Aashka
    Willig, James
    Lineback, Norman
    Thompson, Linda
    AEM EDUCATION AND TRAINING, 2021, 5 (04)
  • [33] Analysis of clinical features and imaging signs of COVID-19 with the assistance of artificial intelligence
    Ren, H-W
    Wu, Y.
    Dong, J-H
    An, W-M
    Yan, T.
    Liu, Y.
    Liu, C-C
    EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, 2020, 24 (15) : 8210 - 8218
  • [34] Value of information analysis for pandemic response: intensive care unit preparedness at the onset of COVID-19
    Peter U. Eze
    Nicholas Geard
    Christopher M. Baker
    Patricia T. Campbell
    Iadine Chades
    BMC Health Services Research, 23
  • [35] Value of information analysis for pandemic response: intensive care unit preparedness at the onset of COVID-19
    Eze, Peter U.
    Geard, Nicholas
    Baker, Christopher M.
    Campbell, Patricia T.
    Chades, Iadine
    BMC HEALTH SERVICES RESEARCH, 2023, 23 (01)
  • [36] An IoT and artificial intelligence-based patient care system focused on COVID-19 pandemic
    Goar V.K.
    Yadav N.S.
    Chowdhary C.L.
    Kumaresan P.
    Mittal M.
    International Journal of Networking and Virtual Organisations, 2021, 25 (3-4) : 232 - 251
  • [37] Iranian primary healthcare system's response to the COVID-19 pandemic using the healthcare incident command system
    Yari, Arezoo
    Khoshsabegheh, Homa Yousefi
    Zarezadeh, Yadolah
    Amraei, Majid
    Soufi Boubakran, Mohsen
    Motlagh, Mohamad Esmaeil
    PLOS ONE, 2023, 18 (08):
  • [38] Pandemic Analytics: How Countries are Leveraging Big Data Analytics and Artificial Intelligence to Fight COVID-19?
    Nishita Mehta
    Sharvari Shukla
    SN Computer Science, 2022, 3 (1)
  • [39] How the clinical research community responded to the COVID-19 pandemic: an analysis of the COVID-19 clinical studies in ClinicalTrials.gov
    He, Zhe
    Erdengasileng, Arslan
    Luo, Xiao
    Xing, Aiwen
    Charness, Neil
    Bian, Jiang
    JAMIA OPEN, 2021, 4 (02)
  • [40] Establishing Artificial Intelligence and Reducing Health Care System Costs in Response to COVID-19
    Esmailkhani, Aylin
    Asadyun, Mahboobeh
    Nezamzadeh, Fatemeh
    Keyvanfar, Ehsan
    Najafabadi, Nasibeh Shariati
    Bialvaei, Abed Zahedi
    CLINICAL LABORATORY, 2022, 68 (05) : 2433 - 2434
12345