Transforming laparoendoscopic surgical protocols during the COVID-19 pandemic; big data analytics, resource allocation and operational considerations

被引:8
|
作者
Guraya, Salman Y. [1 ]
机构
[1] Univ Sharjah, Coll Med, Sharjah, U Arab Emirates
关键词
COVID-19; Laparoendoscopy; Surgery protocols; Electrocautery; Aerosol exposure; CLINICAL CHARACTERISTICS;
D O I
10.1016/j.ijsu.2020.06.027
中图分类号
R61 [外科手术学];
学科分类号
摘要
The current dreadful pandemic of coronavirus disease (COVID-19) is playing havoc with humanity, socio-communal systems and economic reserves worldwide. Certain countries have managed to curtail COVID-19 crisis to some extent, however, a great majority still remains helpless in containing this outbreak. Rapidly evolving disease patterns and complex epidemiology of the COVID-19 necessitate a tailored approach by medical experts in dealing with this devastating outbreak. Similar to other medical disciplines, surgical associations and societies have developed a tailored approach of patients' selection and management plans with improvised endolaparoscopic practice during the COVID-19 pandemic. Non-essential and non-urgent surgical procedures are deferred till this outbreak is abated. Benefits of delaying elective and non-urgent surgery outweighs the risk of performing surgical procedures on patients with asymptomatic or active COVID-19 disease. Laparoendoscopic procedures increase the risk of aerosol exposure, disease transmission and contamination. Limiting the number of operating room personnel, use of disposable instruments, small trocar incisions, negative pressure environment, and setting energy devices at low modes can help reduce disease transmission during laparoendocsopic procedures. This write up sheds lights on the impact of the COVID-19, big data analytics of response of medical personnel in understanding and curtailing the disease process and the consensus guidelines for carrying out laparoscoendoscopic procedures.
引用
收藏
页码:21 / 25
页数:5
相关论文
共 50 条
  • [31] Big Data Analytics in Healthcare: COVID-19 Indonesia Clustering
    Andry, Johanes Fernandes
    Rembulan, Glisina Dwinoor
    Salim, Edwin Leonard
    Fatmawati, Endang
    Tannady, Hendy
    JOURNAL OF POPULATION THERAPEUTICS AND CLINICAL PHARMACOLOGY, 2023, 30 (04): : E290 - E300
  • [32] Surgical emergencies during the COVID-19 pandemic
    Prokein, Benjamin
    Dau, Michael
    Mittlmeier, Thomas
    Schafmayer, Clemens
    Frerich, Bernhard
    CHIRURGIE, 2023, 94 (05): : 454 - 459
  • [33] Surgical Outcomes During COVID-19 Pandemic
    Nachon-Acosta, Andrea
    Martinez-Mier, Gustavo
    Flores-Gamboa, Victor
    Avila-Mercado, Octavio
    Garcia, Indira Morales
    Yoldi-Aguirre, Carlos
    Olivares-Garcia, Irais
    de la Paz-roman, Maritza
    ARCHIVES OF MEDICAL RESEARCH, 2021, 52 (04) : 434 - 442
  • [34] Surgical Training During The COVID-19 Pandemic
    Shah, R.
    Carty, I
    Ugwu, F.
    PAKISTAN JOURNAL OF MEDICAL SCIENCES, 2021, 37 (02) : 610 - 611
  • [35] Surgical consent during the COVID-19 pandemic
    Rotimi, O.
    Beatson, K.
    Aderombi, A.
    Lam, W.
    Bajomo, O.
    Kukreja, N.
    ANNALS OF MEDICINE AND SURGERY, 2020, 59 : 229 - 233
  • [36] The application framework of big data technology during the COVID-19 pandemic in China
    Chen, Wenyu
    Yao, Ming
    Dong, Liang
    Shao, Pingyang
    Zhang, Ye
    Fu, Binjie
    EPIDEMIOLOGY & INFECTION, 2022, 150
  • [37] Significant Applications of Big Data in COVID-19 Pandemic
    Abid Haleem
    Mohd. Javaid
    Ibrahim Haleem Khan
    Raju Vaishya
    Indian Journal of Orthopaedics, 2020, 54 : 526 - 528
  • [38] Significant Applications of Big Data in COVID-19 Pandemic
    Haleem, Abid
    Javaid, Mohd.
    Khan, Ibrahim Haleem
    Vaishya, Raju
    INDIAN JOURNAL OF ORTHOPAEDICS, 2020, 54 (04) : 526 - 528
  • [39] Big data insight on global mobility during the Covid-19 pandemic lockdown
    Sadowski, Adam
    Galar, Zbigniew
    Walasek, Robert
    Zimon, Grzegorz
    Engelseth, Per
    JOURNAL OF BIG DATA, 2021, 8 (01)
  • [40] Big data insight on global mobility during the Covid-19 pandemic lockdown
    Adam Sadowski
    Zbigniew Galar
    Robert Walasek
    Grzegorz Zimon
    Per Engelseth
    Journal of Big Data, 8