Transparency promoted by process mining: an exploratory study in a public health product management process

  • Thais Rodrigues Neubauer USP
  • Renata Mendes de Araujo UPM / USP / ENAP
  • Marcelo Fantinato USP
  • Sarajane Marques Peres USP

Resumo


Public transparency enables the exercise of democracy by the active participation of citizens in the public management. Even though promoting transparency is an essential conduct in a democratic context, its practice is still incipient. In this context, process mining emerges as an agent to promote public transparency as the data related to public processes event logs may have the potential to enable visual and analytical analysis of the process execution. In order to exemplify how process mining might promote public transparency, we present a study considering the health products' management process of a health surveillance agency. Our analysis reveals details about the process execution logic as well as the actions that impact the efficiency of its management.

Palavras-chave: Public Transparency, Public Service Process, Business Process Management, Process mining

Referências

Alfaro, C., Lavn, J. M., Gomez, J., and Insua, D. R. R. (2015). ePBPM: A graphical language supporting interoperability of participatory process. In 2nd Int. Conf. on eDemocracy & eGovernment, pages 98–103. IEEE.

Berti, A., van Zelst, S. J., and van der Aalst, W. M. P. (2019). Process mining for python (PM4Py): Bridging the gap between process-and data science. In Proc. of Int. Conf. on Process Mining – Demo Track, page 13–16.

Blomkamp, E. (2017). Co-design for government: Magic bullet or magical thinking? In Proc. of the 3rd Int. Conf. on Public Policy (ICPP3), pages 1–25.

BRASIL (2011). Lei do acesso a informação. [link]. Accessed on 17-03-2022.

BRASIL (2012). Portal brasileiro de dados abertos. https://dados.gov.br. Accessed on 17-03-2022.

BRASIL (2017). Fala.br plataforma integrada de ouvidoria e acesso à informação. https://falabr.cgu.gov.br. Accessed on 17-03-2022.

Cappelli, C., do Prado Leite, J. C. S., and Oliveira, A. d. P. A. (2007). Exploring business process transparency concepts. In 15th IEEE Int. Requirements Eng. Conf., pages 389– 390. IEEE.

Carvalho, L., Cappelli, C., and Santoro, F. (2022). BPMN pra GERAL: a framework to translate BPMN to a citizen language. Bus. Process Manage. J., 28(2):508–531.

da Costa, H. P. and Rodrigues, T. S. (2020). Mineração de processos aplicada à gestão orçamentária da marinha do brasil. Revista Brasileira de Planejamento e Orçamento, 10(1).

De Classe, T. M., De Araujo, R. M., Xexéo, G. B., and Siqueira, S. W. M. (2021). Public processes are open for play. Digit. Gov.: Res. Pract., 2(4).

Diirr, B., Araujo, R. M., and Cappelli, C. (2014). Encouraging society participation through conversations about public service processes. Int. J. of Electron. Gov. Res., 10:22–42.

Dumas, M., Rosa, M. L., Mendling, J., and Reijers, H. A. (2018). Fundamentals of Business Process Management. Springer, 2nd edition.

Engiel, P., Araujo, R., and Cappelli, C. (2014). Designing public service process models for understandability. Electron. J. of e-Gov., 12(1):95–111.

Erkkilä, T. (2020). Transparency in public administration. In Oxford Research Encyclopedias. Oxford University Press.

Fantinato, M., Peres, S. M., and Reijers, H. A. (2021). X-processes: Discovering more accurate business process models with a genetic algorithms method. In IEEE 25th Int. Enterp. Distrib. Object Comput. Conf., pages 114–123.

Gomes, J. and Araujo, R. (2012). Promovendo a compreensão de regras em processos de prestação de serviços públicos utilizando a animação. In Anais do IV Workshop de Computação Aplicada em Governo Eletrônico, pages 25–32. SBC.

González, L. and Delgado, A. (2021). Towards compliance requirements modeling and evaluation of e-government inter-organizational collaborative business processes. In Proc. of the Annu. Hawaii Int. Conf. on Syst. Sci., pages 2079–2088.

Lahtrop, D. and Ruma, L. (2010). Open government: collaboration, transparency, and participation in practice. O’Reilly Media, 1 edition.

Laitinen, I., Kinder, T., and Stenvall, J. (2018). Co-design and action learning in local public services. J. of Adult and Continuing Educ., 24(1):58–80.

Leemans, S. J. J., Fahland, D., and van der Aalst, W. M. P. (2014). Discovering blockstructured process models from event logs containing infrequent behaviour. In Bus. Process Manage. Workshops, pages 66–78. Springer.

Martin, N., Fischer, D., Kerpedzhiev, G., Goel, K., Leemans, S. J. J., Röglinger, M. abd van der Aalst, W., Dumas, M., La Rosa, M., and Wynn, M. T. (2021). Opportunities and challenges for process mining in organizations: Results of a delphi study. Bus. Inf. Syst. Eng., 63:511–527.

Object Management Group (OMG) (2011). Business process model and notation specification. https://www.omg.org/spec/BPMN/2.0. Accessed on 17-03-2022.

OGP (2011). Declaração de governo aberto. [link]. Accessed on 17-03-2022.

Oliveira, R., Cappelli, C., and Santoro, F. (2020). Camelot tradutor semiautomático de processos em BPMN para modelos compreensíveis aos cidadãos. In Anais do VIII Workshop de Computação Aplicada em Governo Eletrônico, pages 1–11. SBC.

Pflanzl, N. and Vossen, G. (2013). Human-oriented challenges of social BPM: an overview. In Enterp. Modell. and Inf. Syst. Archit., pages 163–176.

Pires, E. and Araujo, R. M. (2020). Mapac: Um método de análise de processos para aproximação cidadã. iSys Revista Brasileira de Sistemas de Informação, 13:04–33.

Rangiha, M. E. and Karakostas, B. (2013). Towards a meta-model for goal-based social BPM. In Int. Conf. on Bus. Process Manage., pages 104–112. Springer.

Rozinat, A. and van der Aalst, W. (2008). Conformance checking of processes based on monitoring real behavior. Inf. Syst., 33(1):64–95.

Sangil, M. J. (2020). Heuristics-based process mining on extracted philippine public procurement event logs. In Int. Conf. on Behav. and Social Comput., pages 1–4.

Schönthaler, F., Vossen, G., Oberweis, A., and Karle, T. (2012). Business Processes for Business Communities. Springer.

Unger, A. J., dos Santos Neto, J. F., Fantinato, M., Peres, S. M., Trecenti, J., and Hirota, R. (2021). Process mining-enabled jurimetrics: Analysis of a brazilian court’s judicial performance in the business law processing. In Proc. of the 18th Int. Conf. on Artif. Intell. and Law, page 240–244, USA. Association for Computing Machinery.

van der Aalst, W. M. (2019). A practitioner’s guide to process mining: Limitations of the directly-follows graph. Procedia Comput. Sci., 164:321–328.

van der Aalst, W. M. P. (2011). Process mining – discovery, conformance and enhancement of business processes. Springer, Berlin, Germany, 1st edition.

van der Aalst, W. M. P. (2016). Process Mining: Data Science in Action. Springer, 2nd edition.

Weske, M. (2007). Business Process Management: Concepts, Languages, Architectures. Springer, 2nd edition.
Publicado
31/07/2022
Como Citar

Selecione um Formato
NEUBAUER, Thais Rodrigues; ARAUJO, Renata Mendes de; FANTINATO, Marcelo; PERES, Sarajane Marques. Transparency promoted by process mining: an exploratory study in a public health product management process. In: WORKSHOP DE COMPUTAÇÃO APLICADA EM GOVERNO ELETRÔNICO (WCGE), 10. , 2022, Niterói. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 37-48. ISSN 2763-8723. DOI: https://doi.org/10.5753/wcge.2022.223131.

Artigos mais lidos do(s) mesmo(s) autor(es)

1 2 > >>