Abstract: Recommender systems are wide spread in Internet services: contextual
advertising, movies and music interesting for an user, selection of goods and services
in online stores. Algorithms take into account users’ profiles, history of requests and
sales and the data about similar users. These algorithms develop very fast and
show its effectiveness, its implementation increase the service attendance and sales.
Healthcare is the new area of recommender systems application. It is collected a
huge amount of medical data such as medical records, mortality and morbidity
databases, treatment protocols, and even health data continuously monitored by
special sensors. Ones develop intelligent systems for primary care, choosing the
treatment, daily human health tracking. The article provides the general introduction
to the recommender systems, the literature review of recommender systems usage in
the healthcare, and also addresses the problem of building recommender systems for
optimizing hospital procurement.
