Abstract
This paper presents the starting point to adverse event reporting and learning systems designed to describe and prevent unfavorable happenings in Public Services organizations. To achieve this goal, the Eindhoven’s Classification Method was changed to house such incidents. On the other hand, the evolutionary process of the knowledge body of such systems is to be understood as a process of energy devaluation, i.e., their data/information/knowledge will be represented and handled as pure energy transactions, being such procedures and the respective outcomes object of formal proof under a Proof Theoretical approach to Problem Solving.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
International Organization for Standardization: ISO 9001:2015 – Quality Management Systems – Requirements. International Organization for Standardization, Geneve (2015)
George, M.: Lean Six Sigma for Service: How to Use Lean Speed and Six Sigma Quality to Improve Services and Transactions. McGraw-Hill, New York (2003)
Chong-Fong, Y: Level of Service Quality of SME Laboratory Services on Customer Satisfaction. MBA Thesis, University Sains Malaysia, Penang (2015)
van der Schaaf, T.W.: Near miss reporting in the chemical process industry: an overview. Microelectron. Reliab. 35(9–10), 1233–1243 (1995)
World Alliance for Patient Safety: WHO draft guidelines for adverse event reporting and learning systems: from information to action. WHO Document Production Services, Geneve (2005)
Vicente, H., Borralho, F., Couto, C., Gomes, G., Alves, V., Neves, J.: An adverse event reporting and learning system for water sector based on an extension of the eindhoven classification model. Water Resour. Manage 29, 4927–4943 (2015)
Cowper, J., Samuels, M.: Performance Benchmarking in the Public Sector: The United Kingdom Experience. Next Steps Team, Office of Public Services, Cabinet Office, United Kingdom (1979)
Rasmussen, J.: Outlines of a hybrid model of the process plant operator. In: Sheridan, T.B., Johannsen, G. (eds.) Monitoring Behavior and Supervisory Control, vol. 1, pp. 371–383. NATO Conference Series, Plenum Press, London (1976)
Wenterodt, T., Herwig, H.: The entropic potential concept: a new way to look at energy transfer operations. Entropy 16, 2071–2084 (2014)
Luhtanen, R., Crocker, J.: A collective self-esteem scale: self-evaluation of one’s social identity. Pers. Soc. Psychol. Bull. 18, 302–318 (1992)
Rosenberg, M.: Society and the Adolescent Self-Image. Princeton University Press, Princeton (1965)
Baumeister, R.F., Campbell, J.D., Krueger, J.I., Vohs, K.D.: Does high self-esteem cause better performance, interpersonal success, happiness, or healthier lifestyles? Psychol. Sci. Public Interest 4, 1–44 (2003)
Neves, J.: A logic interpreter to handle time and negation in logic databases. In: Muller, R., Pottmyer, J. (eds.) Proceedings of the 1984 Annual Conference of the ACM on the 5th Gene-ration Challenge, pp. 50–54. Association for Computing Machinery, New York (1984)
Acknowledgments
This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Fernandes, A. et al. (2019). Fully Informed Classification Systems Simpler, Maybe Better. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O., Musabirov, I. (eds) Digital Transformation and Global Society. DTGS 2019. Communications in Computer and Information Science, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-37858-5_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-37858-5_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37857-8
Online ISBN: 978-3-030-37858-5
eBook Packages: Computer ScienceComputer Science (R0)