CID-SP EMERGENCIES: Public Health Data Intelligence Center - HCFMUSP/STATE HEALTH DEPARTMENT OF SÃO PAULO.

• Grant number: 24/01114-4
• Support Opportunities: Research Grants - Science Centers for Development
• Start date: July 01, 2024
• End date: June 30, 2029
• Field of knowledge: Health Sciences - Medicine - Medical Clinics
• Principal Investigator: Ludhmila Abrahão Hajjar
• Grantee: Ludhmila Abrahão Hajjar
• Host Institution: Hospital das Clínicas da Faculdade de Medicina da USP (HCFMUSP). Secretaria da Saúde (São Paulo - Estado). São Paulo , SP, Brazil
• Pesquisadores principais: Marcelo Knorich Zuffo
• Associated researchers: Adilson Yuuji Hira ; Braian Valério Cassiano de Castro ; Eduardo de Senzi Zancul ; Eduardo Ferriolli ; Emerson Galves Moretto ; Francisco Garcia Soriano ; Helder Takashi Imoto Nakaya ; José Pinhata Otoch ; Maria Beatriz de Moliterno Perondi ; Raquel Zaicaner ; Raul Gonzalez Lima ; Roseli de Deus Lopes ; SANDRO GARCIA HILARIO
• Associated scholarship(s): 25/11502-4 - CID-SP EMERGENCIES Project: Public Health Data Intelligence Center - HCFMUSP / São Paulo State Department of Health., BP.IC

Abstract

The "CID-SP EMERGENCIES: Public Health Data Intelligence Center - HCFMUSP/STATE HEALTH DEPARTMENT OF SÃO PAULO" project is an ambitious initiative aimed at transforming the management of emergencies and urgent care within São Paulo's public health system. This collaborative effort involves several key institutions, notably the Hospital das Clínicas of the Faculty of Medicine at the University of São Paulo (HCFMUSP), the State Health Department of São Paulo, and the Polytechnic School of USP. The Beja Institute, a non-profit organization, plays a critical role in funding and promoting the project, committing to an investment of 10 million reais over five years.Led by Profa. Dra. Ludhmila Abrahão Hajjar, the project brings together a diverse group of researchers, healthcare professionals, and technology experts. It addresses the complex challenges faced by São Paulo's public health system, such as overcrowding, imbalance between supply and demand, and difficulties in prioritizing and stratifying patients in urgent and emergency situations.The document comprehensively explains the current structure of São Paulo's health network, including Health Regions (RS), Regional Health Care Networks (RRAS), Regional Health Departments (DRS), and the essential role of the Health Services Offer Regulation Center (CROSS). These components form the foundation for the project's intended systemic optimization.The project's goal is to implement an advanced model based on BIG DATA and artificial intelligence to enhance efficiency in the regulation of emergencies and urgencies. This model aims to reduce waiting times, prioritize patients at higher risk of complications, allocate resources more effectively, and provide more structured and qualified care for critically ill patients.The proposed methodology involves building a vast BIG DATA database, followed by the development of an advanced analytical system and predictive models to assess the severity of emergency situations. The collaboration between HC-FMUSP, CROSS-SPDM, and the Polytechnic School of USP, supported by the Beja Institute, is crucial for the project's success.Expected outcomes include significant improvements in patient clinical outcomes, with reductions in complications, mortality, and associated treatment costs. Additionally, the project aims to develop a replicable model that can be adapted and applied in other regions and health systems.In summary, the "CID-SP EMERGENCIES" project proposes a revolutionary and integrated approach to addressing the challenges of São Paulo's public health system. Utilizing advanced technologies like BIG DATA and artificial intelligence, the project aims not only to improve efficiency and effectiveness in managing urgencies and emergencies but also to establish a new standard in healthcare, with potential applications in other national and international contexts. (AU)