Lima, Inacia Bezerra deYamada, Diego BettiolYoshiura, Vinicius TohoruLance, Rogério CortecioniRodrigues, Lidia Maria LourençönVinci, Andre Luiz TeixeiraMartinho, RicardoPádua, Silvia Dallavalle deRijo, Rui Pedro Charters LopesRijo, Rui, Rui Pedro Charters LopesFuregato, Antonia Regina FerreiraAlves, Domingos2025-06-302025-06-302018-10-23Inacia Bezerra de Lima, Diego Bettiol Yamada, Vinicius Tohoru Yoshiura, Rogério Cortecioni Lance, Lidia Maria Lourençön Rodrigues, Andre Luiz Teixeira Vinci, Ricardo Martinho, Silvia Dallavalle de Pádua, Rui Pedro Charters Lopes Rijo, Antonia Regina Ferreira Furegato, Domingos Alves, Proposal for selection of mental health indicators in the management of health networks: from heuristic to process modeling, Procedia Computer Science, Volume 138, 2018, Pages 185-190, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2018.10.026.1877-0509http://hdl.handle.net/10400.8/13465In 2011, Brazil instituted the Psychosocial Care Network (RAPS) for people suffering from mental disorders and needs arising from the use of alcohol and other drugs within the Unified Health System an electronic information system that supports the planning, regulation, control and evaluation of mental health actions. Several studies have been done to select a complete set of indicators for mental health in Brazil; however, these studies do not describe how these principles are transposed into indicators. In this work we will use Business Process Management Notation (BPMN) to analyze the process of patient care in a mental health unit and to search through this analysis to select and map those that apply to the specific RAPS institutions. We propose a method, using process modeling along the Thornicroft and Tansella matrix, to select the relevant indicators and their mapping along the network. The method was effective allowing the application of indicators to the concrete reality of a psychiatric hospital in Brazil.engIndicators Mental healthMental Health MatrixBusiness Process Modeling Notationjournal article10.1016/j.procs.2018.10.026