One of the keystones of the smart city is the medical area. Health care centres and hospital building structures will change in smart cities, because of the increasing trend of in-day surgery procedures, smart bracelets, and additional wearable sensors, which give a better and more accurate possibility to make a diagnosis from a distance. It means that the functionality of medical centres and hospitals will constantly change, the number of bedridden places will decrease, research and development and IT areas will grow, and fast-medical areas will multiply. The result of the above-mentioned processes is that many more patients will be visiting the buildings near the high-security R&D and IT areas. This may result in an increased incidence of robberies, vandalism, and even terrorism, because of radioactive and psychoactive materials. The new concept of medical and health care centres of smart cities is a source of great difficulty for security systems. For patients, it is a good experience to enter a spacious friendly area without any restrictions, which can significantly reduce the stress factor and can give a healthier atmosphere, while the opposite of this means that nobody is allowed to enter the medical treatment and research area without authorization. Managing (financing, operating, developing, maintaining) smart complex security systems in the above mentioned medical and health care centres is difficult because of the human factor and a large number of connections and internal processes. However, the fuzzy system-based event tree analysis can be a useful mathematical solution to receive inbound values of the systems' elements and the online prediction of the processes' states. The continuous analysis of these factors and information provides facility management with a guideline about the current state of complex security systems. The optimal usage of procedures can maximize the fully functional operational efficiency and reduce hazards. This article gives a useful guideline for operating complex security systems of smart cities in medical health care centres and hospitals. It detects the main connections between their successes and hazards to find the key elements and the inbound and outbound parameters of the smart cities' complex security system. The generated mathematical values provide additional information that could be used as an operational indicator of the whole smart city security system.

KEY WORDS
smart security, smart health care center and smart hospitals, complex security system, event tree analysis, probabilistic approach

CLASSIFICATION

JEL:

C60, O30