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Main arrow Archive of previous Issues arrow ╣6 2016 (52) arrow CLINICAL INFORMATION SPACE IN PHTHISIOPULMONOLOGY
Friday, 23 December 2016

DOI: 10.21045/2071-5021-2016-52-6-6

Lugovkina T.K., Skornyakov S.N., Egorov E.A., Medvinskiy I.D.
Ural Institute for Phthisiopulmonology of the Ministry of Health of the Russian Federation, Ekaterinburg

Contacts: Lugovkina Tatiana. E-mail: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it ; This e-mail address is being protected from spam bots, you need JavaScript enabled to view it

Abstract. Significance of quality improvement of health care substantiates the need for developing electronic databases and software to support decision making in selection of interventions by doctors and to monitor the quality of clinical practice results.

The purpose of the work was to apply system approach to structure information about personal clinical diagnosis and concordant medical interventionsáin treatment of TB patients at the level of specialized and high-tech care delivery

Material and methods. Materials included modern classifications of pulmonary tuberculosis, standards of medical care in phthisiopulmonology, Federal clinical recommendations for diagnosis and treatment of pulmonary tuberculosis, scientific literature and patientsĺ charts. The system approach methodology to structure information and principle of discreteness of information vectors of clinical diagnosis characteristics have been used.

Results. The study shows that basic characteristics of clinical diagnosis (stage, phase, severity, additional factors of causes and conditions affecting prognosis of clinical developments and choice of medical interventions, severity degree of clinical situation) still lack common definitions. Structure for basic characteristics of clinical diagnosis was presented and definitions were formulated. Each characteristic was represented by a discrete information vector making it possible to use digital codes to store personalized clinical diagnosis in electronic databases.

Conclusion. The system approach methodology for structuring information space of clinical situations and implementation of discrete information vector characteristics of clinical diagnosis help to realize the enormous potential of information technologies to monitor quality of clinical decisions and enrich evidence-based data in phthisiopulmonology.

Key words: quality clinical practice; information structure; phthisiopulmonology.


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