Title: How to increase access to kidney transplantation: the analysis of a Brazilian public hospital through operations management

Authors: Ana Carolina Pereira De Vasconcelos Silva; Thaís Spiegel; Luiz Felipe Scavarda; Augusto Da Cunha Reis

Addresses: Department of Industrial Engineering, State University of Rio de Janeiro (UERJ), São Francisco Xavier Street, 524, Maracanã, Rio de Janeiro, Brazil; Department of Industrial Engineering, Federal Centre for Engineering Studies and Technological Education (CEFET/RJ), General Canabarro Street, 485, Maracanã, Rio de Janeiro, Brazil ' Department of Industrial Engineering, State University of Rio de Janeiro (UERJ), São Francisco Xavier Street, 524, Maracanã, Rio de Janeiro, Brazil ' Department of Industrial Engineering, Pontific Catholic University (PUC-Rio), Marquês de São Vicente Street, 225, Gávea, Rio de Janeiro, Brazil ' Department of Industrial Engineering, Federal Centre for Engineering Studies and Technological Education (CEFET/RJ), General Canabarro Street, 485, Maracanã, Rio de Janeiro, Brazil

Abstract: End-stage renal disease is one of the most costly chronic diseases for the Brazilian public health system. Dialysis is still the most commonly used procedure, even though transplantation is one of the most recommended treatments. Considering the perspective of operations management as an approach for organisational interventions, the objective of this paper was to propose a new operation model for a transplantation unit in Rio de Janeiro State focused on reducing the patients waiting times in queues. The first step was to conduct a systematic literature review. Then, the kidney transplantation process was modelled using ARIS/IDS notation, which oriented the description and analysis of the operation model of the transplantation unit. A new model was proposed, along with a list of strategic, structural and political decisions to mitigate organisational, network design and budget pass-through logic inconsistences.

Keywords: healthcare operations management; business process engineering; process modelling and analysis; kidney transplantation; operation model; healthcare public service.

DOI: 10.1504/IJSOM.2022.122927

International Journal of Services and Operations Management, 2022 Vol.41 No.4, pp.404 - 430

Received: 30 Jul 2019
Accepted: 01 Nov 2019
Published online: 17 May 2022 *

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