Hospital admission and care of COVID‐19 patients problem based on spherical hesitant fuzzy decision support system

Abstract

The emergency response to the health care management in the hospital do not have enough systems for providing medical service to the COVID19 patients (e.g., scheduled or nonemergency). Therefore, in this paper, we developed an emergency decision support model for consideration of patients care and admission scheduling (PCAS). The complex decision support model assigns a set of patients into a number of restricted resources like rooms, time slots, and beds depending on satisfying a number of predefined constraints such as disease severity, waiting time, and disease types. This is a crucial issue with multi‐criteria decision making (MCDM). In this paper, we first begin an assessment into the admission and care to tackle this issue and collect four factors effecting the admission and care of COVID‐19 patients that form a system of criteria. While there is a lot of vague and uncertain data that can be effectively depicted for these indicators by the spherical hesitant fuzzy set, then, we implement a strong MCDM method based on list of aggregation operators to address the patients' hospital admission and care. Last of all, a numerical real‐life application about PCAS is provided to demonstrate the validity of the proposed approaches along with relevant discussions, the merits of proposed approaches are also analyzed by validity test. The proposed methodology has been shown to help hospitals manage the admissions and care of COVID‐19 patients in a flexible manner.

Volunteer Service Participation Emergency Management Information Collection Platform Based on Big Data Technology

“…Kaabar et al Proposed a comprehensive urban community fire risk identification and assessment method, using a fire impact model to assess the risk factors affecting a given building fire [8]. Khan et al studied the dynamic risk management model in the fast time-varying system, and constructed the framework of the emergency risk measurement model and risk decision model [9]. Ivanets et al devised a simplified model for emergency risk management, and it is used to deal with the problem of too many treatment plans and risk sources in emergency risk analysis [10].…”

Knowledge Mapping of Multicriteria Decision Analysis in Healthcare: A Bibliometric Analysis

“…It is universally known that COVID-19 broke out at the end of 2019 and remains a threat to global health. As one of the most recent research hotspots, the application of MCDA to COVID-19 mainly involves the following aspects: healthcare waste management ( 51 , 58 ), prioritization of hospital admission of patients ( 59 ), the assessment of intervention and care ( 60 , 61 ), selection of isolation hospital location ( 62 ), and evaluation of a national healthcare system ( 63 ). These studies exert impact on both decision-making and management of COVID-19, and this impact will likely continue in the next few years.…”

Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

“…Meanwhile, Ref. [ 53 ] develops an emergency MCDM decision-support model based on spherical hesitant fuzzy for patient care and admission scheduling (PCAS). Lastly, selection and admission research by [ 54 ] elaborates on how the pandemic has resulted in an intense flow of patients to hospitals, particularly intensive care units (ICUs).…”