Problem-oriented model of clinical data Bank

The paper considers the problem of building a problem-oriented information model of the clinical data Bank (CDB). The treatment and diagnostic process is proposed to be modeled by a discrete finite-dimensional controlled process.
The principal nonobservability of the state vector of the control object and its large dimension are noted. The necessity of application of Big Data technologies for the construction of BCD is grounded. Two relational models of clinical data are presented in a process form. The author’s experience of using one of the presented relational models is given. The perspective of the second relational model, based on a relational DBMS with data storage by columns, is noted. The results of the work will be useful to developers of health information systems.