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10.1016/j.ijsu.2020.06.027

http://scihub22266oqcxt.onion/10.1016/j.ijsu.2020.06.027
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32590073!7309937!32590073
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suck abstract from ncbi


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pmid32590073      Int+J+Surg 2020 ; 80 (ä): 21-25
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  • Transforming laparoendoscopic surgical protocols during the COVID-19 pandemic; big data analytics, resource allocation and operational considerations #MMPMID32590073
  • Guraya SY
  • Int J Surg 2020[Aug]; 80 (ä): 21-25 PMID32590073show ga
  • 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.
  • |*Disposable Equipment[MESH]
  • |*Health Care Rationing[MESH]
  • |*Patient Selection[MESH]
  • |Betacoronavirus[MESH]
  • |Big Data[MESH]
  • |COVID-19[MESH]
  • |Clinical Protocols[MESH]
  • |Coronavirus[MESH]
  • |Coronavirus Infections/epidemiology/*prevention & control/transmission[MESH]
  • |Data Science[MESH]
  • |Elective Surgical Procedures/methods[MESH]
  • |Electrocoagulation/methods[MESH]
  • |Endoscopy/*methods[MESH]
  • |Equipment Contamination/prevention & control[MESH]
  • |Health Personnel[MESH]
  • |Humans[MESH]
  • |Infectious Disease Transmission, Patient-to-Professional/*prevention & control[MESH]
  • |Laparoscopy/*methods[MESH]
  • |Neoplasms/*surgery[MESH]
  • |Operating Rooms[MESH]
  • |Pandemics/*prevention & control[MESH]
  • |Personal Protective Equipment[MESH]
  • |Pneumonia, Viral/epidemiology/*prevention & control/transmission[MESH]
  • |SARS-CoV-2[MESH]


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  • suck abstract from ncbi

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