BPMN as a tool for adaptive support of pattern recognition and digital diagnostic results in remediation and post-crisis recovery
Keywords:
Business process model and notation (BPMN), pattern recognition, digital diagnostics, remediation, post-crisis recovery, computer vision (CV), decision model and notation (DMN), case management model and notation (CMMN), human-inthe- loop (HITL), digital passport of territorySynopsis
In the monographic study, a comprehensive analysis of the potential of BPMN 2.0 (Business Process Model and Notation 2.0) as a tool for adaptive support of pattern recognition results and digital diagnostics in the processes of remediation and post-crisis recovery of objects and territories is presented. The relevance of the topic is due to the fact that modern systems of monitoring, remote sensing, computer vision, and intelligent analytics are capable of promptly identifying the consequences of emergency events of natural and technogenic nature, namely: damage to infrastructure objects, contamination of territories, and other crisis consequences. However, at the same time, a managerial and organizational-technological gap often remains between the digital detection of a problem and the actual implementation of reconstruction and remediation measures. In this context, BPMN (Business Process Model and Notation) is proposed to be considered as a process tool that is capable of ensuring the formalization, routing, as well as coordination of further managerial actions based on the results of digital diagnostics. In the monograph, the concept of adaptive support is substantiated, within the framework of which pattern recognition results are interpreted as a basis for launching a managed process of identification, verification, refinement, expert evaluation, selection of an appropriate response protocol, as well as resource and logistical support with subsequent verification of the results of the implemented remediation measures. The authors pay particular attention to the process of handling information with varying degrees of uncertainty, which is associated, among other things, with the probabilistic nature of AI (Artificial Intelligence) outputs, including the use of confidence thresholds, escalation mechanisms, as well as repeated data collection and feedback. The monograph substantiates that the application of BPMN (Business Process Model and Notation) makes it possible to link the analytical layer of digital diagnostics with the operational layer of remediation into a unified process logic, thereby increasing the level of transparency, traceability, as well as coordination of actions of key agents and stakeholders.
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176-204
Text Identifier of this Chapter
Chapter 7
Published
June 11, 2026
Copyright (c) 2026 Bohdan Cherniavskyi, Oksana Drozd, Anatolii Nadtochyi, Viktor Nadtochii, Maksym Matviienko, Ivan Kalinichenko
How to Cite
Cherniavskyi, B., Drozd, O., Nadtochyi, A., Nadtochii, V., Matviienko, M., & Kalinichenko, I. (2026). BPMN as a tool for adaptive support of pattern recognition and digital diagnostic results in remediation and post-crisis recovery. In V. Lukin, S. Kryvenko, F. Li, S. Abramov, V. Abramova, B. Kovalenko, I. Dohtiev, O. Arkhipov, N. Stojanović, B. Bondžulić, P. Mykhalichenko, T. Cherniavska, B. Cherniavskyi, V. Nadtochii, A. Nadtochyi, M. Korkh, Zghurska О., S. Kasian, K. Nakonechna, … I. Kalinichenko, Pattern recognition in surveillance systems and diagnostics (pp. 176-204). Scientific Route OÜ®. https://doi.org/10.21303/978-9908-845-05-0.ch7
