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Title:      SOCIAL INFORMATION SYSTEMS IN PUBLIC HEALTH: EMPIRICAL EVIDENCE IN BRAZIL
Author(s):      Jeferson Gonçalves de Oliveira, Cristiana Fernandes De Muylder, Fernando Hadad Zaidan, Ana Maria Pereira Cardoso and José Nelio Januário
ISBN:      978-989-8704-30-6
Editors:      Piet Kommers and Mário Macedo
Year:      2021
Edition:      Single
Keywords:      Social Information Systems, Complexity Theory, Public Health, Social Innovation
Type:      Full
First Page:      129
Last Page:      135
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Public health systems have been cited as complex in several recent studies. At the same time, information systems are discussed from a strictly technological perspective to separate from a social context in which they are inseparable. In addition, there is a lack of studies in the literature about the implementation of these systems in environments that aim at social innovation. To study these relationships, this study aims to answer the following question: What are the relationships / influences between the Social Information System, Public Health and Social Innovation? Thus, the purpose of this research is to develop an analysis model of the relationship between the studied constructs and apply it to the reality of the Neonatal Screening Program of the State of Minas Gerais (PTN-MG). For this, the study was applied within the SUS, in Minas Gerais State, using the 15-year database of the program. To test the relationships between the model constructs, the statistical techniques of multivariate data analysis were used. As main results, it is confirmed that health care networks are configured as complex systems that require information systems with characteristics that adhere to this concept. In addition, it is noted that the information system is a fundamental pillar in social innovation in health, as it has shown a significant relationship with the reduction of health problems and with the PTN-MG quality indicators. From this model tested new, others will emerge indicating the scientific and social contribution of this research, organized in papers.
   

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