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Dialysis Resource Allocation in Critical Care: The Impact of the COVID-19 Pandemic and the Promise of Big Data Analytics



Details

  • Personal Author:
  • Description:
    The COVID-19 pandemic resulted in an unprecedented burden on intensive care units (ICUs). With increased demands and limited supply, critical care resources, including dialysis machines, became scarce, leading to the undertaking of value-based cost-effectiveness analyses and the rationing of resources to deliver patient care of the highest quality. A high proportion of COVID-19 patients admitted to the ICU required dialysis, resulting in a major burden on resources such as dialysis machines, nursing staff, technicians, and consumables such as dialysis filters and solutions and anticoagulation medications. Artificial intelligence (AI)-based big data analytics are now being utilized in multiple data-driven healthcare services, including the optimization of healthcare system utilization. Numerous factors can impact dialysis resource allocation to critically ill patients, especially during public health emergencies, but currently, resource allocation is determined using a small number of traditional factors. Smart analytics that take into account all the relevant healthcare information in the hospital system and patient outcomes can lead to improved resource allocation, cost-effectiveness, and quality of care. In this review, we discuss dialysis resource utilization in critical care, the impact of the COVID-19 pandemic, and how AI can improve resource utilization in future public health emergencies. Research in this area should be an important priority. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    2813-0626
  • Document Type:
    Text
  • Funding:
    Grant
  • Genre:
    Journal Article
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Volume:
    3
  • NIOSHTIC Number:
    nn:20069710
  • Citation:
    Front Nephrol 2023 Oct; 3:1266967
  • Contact Point Address:
    Farrukh M. Koraishy, Division of Nephrology, Department of Medicine, Stony Brook University Hospital, Stony Brook, NY, United States
  • Email:
    farrukh.koraishy@stonybrookmedicine.edu
  • Federal Fiscal Year:
    2024
  • Performing Organization:
    State University of New York Stony Brook
  • Peer Reviewed:
    True
  • Start Date:
    20210701
  • Source Full Name:
    Frontiers in Nephrology
  • End Date:
    20230630
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:0b5045ef72cc008831ff0f58f7e497357d81fed5fb4720af8a75078488f4c1b28edfed09236718e71a530a563d213ba3f54aa1b66aa3394254b1d97f29f49e47
  • Download URL:
  • File Type:
    Filetype[PDF - 506.39 KB ]
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