How to increase access to kidney transplantation: the analysis of a Brazilian public hospital through operations management
Ana Carolina Pereira De Vasconcelos Silva,
Thaís Spiegel,
Luiz Felipe Scavarda and
Augusto Da Cunha Reis
International Journal of Services and Operations Management, 2022, vol. 41, issue 4, 404-430
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. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=122927 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsoma:v:41:y:2022:i:4:p:404-430
Access Statistics for this article
More articles in International Journal of Services and Operations Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().