Evaluation of Waste Management Practices of Health Care Units: A Graph Theoretic and Matrix

Abstract

The present research has used Graph Theory Matrix and Approach (GTMA) to evaluate Health Care Waste Management(HCWM) index. This index will be an indication of the degree of effectiveness of HCWM practices in the HCU’s. Responses collected through a questionnaire based survey was used to develop a GTMA model to evaluate Waste management Index(WMI). A frame work also has been proposed to calculate theoretical best and worst value of WMI. The WMI of any HCU could be compared with theoretical best and worst values of WMI to check its closeness to these values. If the WMI value of any organization is closer to best value in comparison to the worst value then it could be inferred that the HCU is doing good in managing its waste. The WMI value would help HCUs in identifying the weaker areas of HCWM practices of their organization.

Measuring the impact of critical factors on government supported healthcare supply chain: an approach towards efficient governance

“…Simultaneously, researchers have also used GTA at various field of health-care such as quantifying the variables affecting Indian medical tourism (Jain and Ajmera, 2018); analyzing the patient health information (Balamurugan and Zubar, 2018); assessing home health-care vulnerability (Barkaoui et al, 2017); clustering of healthcare social question-answers (Blooma et al, 2014); analyzing chronic disease progression (Khan et al, 2019); evaluating of waste management practices of healthcare units (Mishra et al, 2019); detecting overlapped functional clusters in resting state fMRI (Yan et al, 2011); hyper-functionality in visual cortices of seasonal affective disorder (Borchardt et al, 2015), etc., but no literature is found related to application of GTA on impact of CFs on HSC in general and GHSC in specific. Hence, in this research, GTA is preferred over other methodologies considering its ability to convert the inheritance and interdependence of CFs into a single mathematical model through permanent representation and proximity of result towards reality (Raj et al, 2010;Baykasoglu, 2014 andNarayanamurthy andGurumurthy, 2016).…”