Personalized Clinical Diagnosis in Data Bases for Treatment Support in Phthisiology.

Autor:	Lugovkina TK; Ural Research Institute for Phthisiopulmonology of Russian Health Ministry, Ekaterinburg, Russia., Skornyakov SN; Ural Research Institute for Phthisiopulmonology of Russian Health Ministry, Ekaterinburg, Russia., Golubev DN; Ural Research Institute for Phthisiopulmonology of Russian Health Ministry, Ekaterinburg, Russia., Egorov EA; Ural Research Institute for Phthisiopulmonology of Russian Health Ministry, Ekaterinburg, Russia., Medvinsky ID; Ural Research Institute for Phthisiopulmonology of Russian Health Ministry, Ekaterinburg, Russia.
Jazyk:	angličtina
Zdroj:	Studies in health technology and informatics [Stud Health Technol Inform] 2016; Vol. 224, pp. 73-7.
Abstrakt:	The decision-making is a key event in the clinical practice. The program products with clinical decision support models in electronic data-base as well as with fixed decision moments of the real clinical practice and treatment results are very actual instruments for improving phthisiological practice and may be useful in the severe cases caused by the resistant strains of Mycobacterium tuberculosis. The methodology for gathering and structuring of useful information (critical clinical signals for decisions) is described. Additional coding of clinical diagnosis characteristics was implemented for numeric reflection of the personal situations. The created methodology for systematization and coding Clinical Events allowed to improve the clinical decision models for better clinical results.
Databáze:	MEDLINE
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