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Early Revealing of Professional Burnout Predictors in Emergency Care Workers

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2021)

Abstract

The article discusses the issues of determining the group of prepathology for early diagnosis of professional burnout in emergency medical workers who are subject to an extreme influence of psychological factors of the working environment and have a high intensity of the work process, using the questionnaire “Work-related behavior (Arbeitsbezogenes Verhaltens und Erlebensmuster - AVEM)”. This approach allows us to identify a group of people who are prone to the development of professional burnout, which in the future will allow us to improve the calculations of the AVEM questionnaire and establish professionally forming criteria for professional selection when hiring, taking into account the individual-typological characteristics of the individual and his behavior and experiences associated with professional activities.

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Acknowledgment

Research on the topic “Substantiation of criteria of prepathological states of occupational burnout in health care workers”, under registration, was financed by the Ministry of Health of Ukraine at the expense of the state budget.

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Zavgorodnii, I., Lalymenko, O., Perova, I., Zhernova, P., Kiriak, A., Novytskyy, O. (2022). Early Revealing of Professional Burnout Predictors in Emergency Care Workers. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_31

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