Referential model for improving clinical and surgical procedures in patients with congenital heart diseases: management, optimization and technical aspects

• Grant number: 17/26002-0
• Support Opportunities: Regular Research Grants
• Duration: August 01, 2019 - April 30, 2022
• Field of knowledge: Engineering - Production Engineering
• Principal Investigator: João Chang Junior
• Grantee: João Chang Junior
• Host Institution: Instituto do Coração Professor Euryclides de Jesus Zerbini (INCOR). Hospital das Clínicas da Faculdade de Medicina da USP (HCFMUSP). Secretaria da Saúde (São Paulo - Estado). São Paulo , SP, Brazil
• Associated researchers: Aída Luiza Ribeiro Turquetto ; Alfredo Manoel da Silva Fernandes ; Ana Paula Vilas Boas Viveiros Lopes ; Cláudia Aparecida de Mattos ; Fábio Lima ; Luiz Fernando Canêo ; Marcelo Biscegli Jatene ; Paul-Eric Dossou

Abstract

This proposal originates from the results obtained by the 2014/50001-6 Project, PPSUS (Public Policies for the Unified Health System), coordinated by the Centro Universitário FEI in partnership with the Instituto do Coração do Hospital das Clínicas of the Medical School of USP and the Institut Catholique des Arts et Métiers of Paris-Sénart. This project entitled "Modeling of a Dynamic System for the Scheduling of Cardiac Surgeries at the Instituto do Coração - InCor - Hospital das Clínicas of the Medical School of USP - FMUSP" aimed to model, simulate and optimize the procedure of Heart Surgery Scheduling in the Instituto do Coração, in order to obtain the best use of the available resources (human and material) of the hospital, as well as further improve the quality indicators, providing concomitantly, the reduction in the time of patients' stay, in the risk of death, in the waiting list for surgery, as well as the disorders generated for the professionals involved in the operation of the hospital. Considering the complexity and relevance of the public institution in the health area, this project deals with a single case study in congenital heart disease in InCor. The overall objective of the project is to develop a theoretical-conceptual model that relates the main constructs and variables involved, aiming at improving the performance of operational and managerial processes, with a view to achieving more care for congenital heart patients, with lower costs, less risk for these patients and with the same resources currently available at InCor. The expected results of this research project will certainly bring relevant theoretical and practical contributions. For the academy, it is intended to contribute to the state-of-the-art by developing a reference model, contingent on several moderating variables, as well as developing methodologies. The practical contributions involve the creation of an integrated computer program for the management of the various areas of the hospital complex in order to predict and optimize the flow of patients with congenital heart disease, adding value to the services provided to SUS users. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

CHANG JUNIOR, JOAO; BINUESA, FABIO; CANEO, LUIZ FERNANDO; RIBEIRO TURQUETTO, AIDA LUIZA; TREVISAN CALVO ARITA, ELISANDRA CRISTINA; BARBOSA, ALINE CRISTINA; DA SILVA FERNANDES, ALFREDO MANOEL; TRINDADE, EVELINDA MARRAMON; JATENE, FABIO BISCEGLI; DOSSOU, PAUL-ERIC; et al. Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study. PLoS One, v. 15, n. 9, p. 21-pg., 2020-09-04. (16/15039-8, 17/26002-0)