Anais
Resumo do trabalho
Tecnologia da Informação · Aspectos Comportamentais e Decisórios da TI
Título
PATIENT PRIORITIZATION IN WAITING LISTS USING MULTI-CRITERIA METHODS: A SYSTEMATIC LITERATURE REVIEW
Palavras-chave
patient prioritization
waiting lists
multi-criteria decision-making methods (MCDM)
Agradecimento:
Authors thank to CNPq (313556/2023-7) for supporting this research Project.
Autores
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Mery Ellen Brandt de OliveiraUNIVERSIDADE FEDERAL DO PARANÁ (UFPR)
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José Marcelo Almeida Prado CestariUNIVERSIDADE FEDERAL DO PARANÁ (UFPR)
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Francisco Rodrigues Lima JuniorUNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ (UTFPR)
Resumo
Introdução
Patient prioritization models in waiting lists optimize healthcare delivery when demand exceeds capacity. These models prioritize severe cases using multiple criteria, but defining criteria, weighting decision-makers, and handling incomplete data introduce uncertainties and hesitation, complicating decisions (Breton et al., 2020; Déry et al., 2020).
Problema de Pesquisa e Objetivo
Defining criteria, assigning decision-maker weights, and managing uncertainties challenge patient prioritization. This study maps characteristics of models using multicriteria decision-making methods, focusing on group decision-making and uncertainty handling, through a systematic review of 37 documents (2004–2024).
Fundamentação Teórica
Patient prioritization models use multicriteria decision-making to identify/weight criteria (e.g., severity) and calculate prioritization scores. Consensus-reaching processes like Delphi reduce discrepancies. Fuzzy and Rough Set methods handle uncertainties, using numerical and linguistic terms for flexibility (Déry et al., 2020).
Discussão
Analysis of 37 documents from seven databases showed multicriteria decision-making used in criteria identification, weighting, and prioritization across surgery and transplants. Most models supported group decisions, with many using consensus processes. Some weighted decision-makers, half with calculated methods. Fuzzy/Rough Sets addressed uncertainties.
Conclusão
The study mapped multi-criteria-based prioritization models, emphasizing group decisions and uncertainty handling. Gaps include needs for practical tools and artificial intelligence-driven consensus processes to enhance equitable healthcare decisions in areas like elective exams.
Contribuição / Impacto
This review provides a comprehensive overview of multicriteria-based prioritization models, offering comparison parameters. It promotes equitable healthcare decisions, highlighting artificial intelligence and linguistic expressions to improve consensus and address hesitation.
Referências Bibliográficas
ABBAS, F. et al. Q-Rung orthopair fuzzy WASPAS algorithm for patient prioritization. Sci. Rep., v. 14, 10659, 2024. DOI: 10.1038/s41598-024-57452-w.
BRETON, M. et al. Centralized waiting lists and healthcare access. Health Policy, v. 124, p. 787-795, 2020. DOI: 10.1016/j.healthpol.2020.05.023.
DÉRY, J. et al. Patient prioritization tools: a systematic review. Syst. Rev., v. 9, p. 1-14, 2020. DOI: 10.1186/s13643-020-01482-8.
PÉCORA, A. et al. Prioritization approach for patient access. J. Mod. Proj. Manag., v. 8, p. 52-61, 2021. DOI: 10.19255/JMPM02505.
BRETON, M. et al. Centralized waiting lists and healthcare access. Health Policy, v. 124, p. 787-795, 2020. DOI: 10.1016/j.healthpol.2020.05.023.
DÉRY, J. et al. Patient prioritization tools: a systematic review. Syst. Rev., v. 9, p. 1-14, 2020. DOI: 10.1186/s13643-020-01482-8.
PÉCORA, A. et al. Prioritization approach for patient access. J. Mod. Proj. Manag., v. 8, p. 52-61, 2021. DOI: 10.19255/JMPM02505.