Management of Primary Prevention Against Respiratory Diseases in Organizations as an HRM tool
Management of Primary Prevention Against Respiratory Diseases in Organizations as an HRM tool

Summary/Abstract: Purpose – This study focusses on the use of risk management tools in crisis situations in organisations, their prediction, and minimisation in the area of potential pandemic respiratory diseases.Aims(s) – It aims to identify the primary tools for prevention against respiratory diseases, to identify the costs associated with this prevention, and to provide the basis for the creation and subsequent dynamization of the Economic Model of preventive measures against respiratory infections, along with the use of AI. Design / Methodology / approach - For this purpose, a detailed search of scientific studies was carried out to identify primary prevention tools against respiratory diseases in organisations, as well as available economic calculations, methods and models. Furthermore, their validation was carried out directly in the organisations through interviews and using the Focus Group method, where the benefits of the individual measures were discussed with representatives of the selected organisations. Findings – The different parts of the future predictive model for the organisation and prevention of respiratory diseases were verified, including input data for the organisation's cost calculator. Based on the identified deviations, adjustments were made to the individual input data for the respective prevention measures in the model under consideration.Limitations of the study – A possible limitation for a more accurate comparison of the results of the search studies with the results of the research could be the current number of enterprises contacted or their location in four regions of the Czech Republic.Originality/value – Its calculation confirms that it is more economically advantageous for a company to invest its resources in the primary prevention of respiratory diseases and to extend its measures to the use of AI in this prevention.

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