A Novel Hybrid Parametric and Non-Parametric Optimisation Model for Average Technical Efficiency Assessment in Public Hospitals during and Post-COVID-19 Pandemic.

Autor: Mirmozaffari M; Department of Industrial Engineering, Dalhousie University, 5269 Morris Street, Halifax, NS B3H 4R2, Canada., Yazdani R; Department of Accounting, Technical and Vocational University (TVU), Tehran 1345120727, Iran., Shadkam E; Department of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad 9189747178, Iran., Khalili SM; Department of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad 9189747178, Iran., Tavassoli LS; Department of Industrial Manufacturing and Systems Engineering, University of Texas at Arlington, Arlington, TX 76019, USA., Boskabadi A; Department of Finance and Management Science, Carson College of Business, Washington State University, Pullman, WA 99163, USA.
Jazyk: angličtina
Zdroj: Bioengineering (Basel, Switzerland) [Bioengineering (Basel)] 2021 Dec 27; Vol. 9 (1). Date of Electronic Publication: 2021 Dec 27.
DOI: 10.3390/bioengineering9010007
Abstrakt: The COVID-19 pandemic has had a significant impact on hospitals and healthcare systems around the world. The cost of business disruption combined with lingering COVID-19 costs has placed many public hospitals on a course to insolvency. To quickly return to financial stability, hospitals should implement efficiency measure. An average technical efficiency (ATE) model made up of data envelopment analysis (DEA) and stochastic frontier analysis ( SFA ) for assessing efficiency in public hospitals during and after the COVID-19 pandemic is offered. The DEA method is a non-parametric method that requires no information other than the input and output quantities. SFA is a parametric method that considers stochastic noise in data and allows statistical testing of hypotheses about production structure and degree of inefficiency. The rationale for using these two competing approaches is to balance each method's strengths, weaknesses and introduce a novel integrated approach. To show the applicability and efficacy of the proposed hybrid VRS-CRS-SFA ( VCS ) model, a case study is presented.
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje