Authors:
Alexander Smirnov
and
Nikolay Teslya
Affiliation:
SPC RAS, 14th line, 39, St. Petersburg, Russia
Keyword(s):
Decision Support, Optimization, Fuzzy Game, Pandemic, Smart Contacts, Transportation, Ambulance, Vehicle.
Abstract:
The pandemic caused by COVID-19 virus has posed a challenge for healthcare systems in many countries. One of the important tasks facing after a sick person detection is the timely patient’s transportation to a hospital. When making a decision on transportation to the hospital, it is necessary to account for many parameters, including beds space availability, availability of hospital staff and medicines required by the treatment protocol, diagnostic equipment on ambulance team, the distance to the hospital, ambulance vehicle locations, as well as hospital and ambulance staff psychophysical state, and patient’s reaction to hospitalization. Some of them can be gathered through smart city sources, like city databases or operational systems, but most of them require access to medical services. It is proposed to consider hospitals as participants of a cooperative game, whose overall goal is to ensure the maximum of cured patients. To describe the psychophysical state of the personnel, as w
ell as to ensure greater variability of the resulting solution, the game parameters are proposed to be set using fuzzy sets and fuzzy logic. To implement the game rules, it is proposed to use smart contracts in blockchain technology. The blockchain could also be used to provide access to data from medical services, store and distribute the current state of hospitals, and save processing results for later analysis and model refinement.
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