Integration of blockchain technologies in the personnel potential management system of medical institutions

The article is devoted to the topical issue of applying blockchain technologies in managing the personnel potential of medical institutions. The authors emphasize the importance of using secure technologies that will prevent hacking communities from accessing confidential personal data, especially in the medical field, where comprehensive information about most citizens is concentrated. Despite the significant advantages of blockchain, this technology has been sporadically implemented in Ukraine, particularly in the medical sphere. Most scientific works focus on the advantages and disadvantages of using blockchain in other industries, while its applications in managing the personnel potential of medical institutions are insufficiently covered. The aim of the article is to reveal the peculiarities of using blockchain technology in the personnel management system of medical institutions. The article identifies several areas of blockchain application in personnel management of medical facilities: forming a database of patients assigned to specific medical professionals, creating databases of medical achievements, systematizing information about advanced medical practices, managing databases on the professional development of medical staff, optimizing internal communication systems, and improving decision-making algorithms. The advantages, disadvantages, opportunities, and threats of using blockchain in this area are discussed in detail. The risks of implementing the technology in wartime conditions are analyzed separately. The introduction of blockchain in managing the personnel potential of medical institutions is a promising direction, which will contribute to the consolidation of data on the professional career development of medical staff, optimization of internal communication systems, improvement of managerial decision-making, and more. The further prospect of using this technology requires the development of effective algorithms for its implementation, taking into account possible risks and challenges