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The paper examines the problems associated with collecting and processing the data on medico-biological parameters of patients. These problems are considered in terms of solving the problem of clinical monitoring. Implementing the clinical monitoring process suggests that a family doctor should have modern diagnostic equipment. Such equipment can collect primary medical data and transmit them to the server side for the automated processing. Health Grid infrastructure technologies enable distributed data processing of a large number of patients. These patients may relate to different doctors from different medical institutions. Such an approach allows to collect a large amount of statistical data that can be used for the individual needs of a certain patient and comprehensive epidemiological analysis in the country or in a particular area. The open e-Health architecture platform ensures the operation of sensors that collect medical data of patients during clinical monitoring. These data can be transmitted via a wired or wireless connection to the microcontroller and the server. Processed data from many patients allow to build intelligent algorithms that detect dependencies between the values of medico-biological parameters and diagnosis. In addition, various medical research data can be collected from the web space. These two types of data can be used for developing collaborative recommendation systems. Such systems are some kind of decision support systems that provide family doctors with the possible options of diagnoses and useful recommendations in a convenient form and with a given level of reliability and accuracy. Author Biographies Оксана Олександрівна Сітнікова, National Technical University «Kharkiv Polytechnic Institute» 21 Frunze str., Kharkiv, Ukraine, 61002 Senior lecturer Department of hardware and programming

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