This thesis evaluates the possibility of application of the «Kirlian effect» in contemporary medical diagnostics. Diagnostic method based on this effect would be extremely fast and efficient, which makes the effect very interesting for medical usage. The beginning of the thesis explains physical principles of gas discharge, which are linked with physical occurrences that take place in the method of «Gas Discharge Visualisation» (GDV) which is a common name for all the contemporary techniques based on the «Kirlian effect». Following is the description of the basic conditions, which need to be fulfilled to perform the method successfully. Along with that, there is a description of theoretical foundations, of the conclusions regarding the connection of the picture of gas discharge (GDV image) and the condition of the object in question, as well as the parameters measured in the method to determine the condition of the object. The end of the theoretical part describes scientific works conducted so far, and the promising results of the examination of the GDV method in service of medical diagnostics. The method «Gas Discharge Visualisation» is applicable in medicine in a number of ways examining various objects by taking GDV images of, for example: fingers, body fluids, etc. Although the results of scientific work regarding the application of the GDV method in medical diagnostics are promising, the number of such scientific works is considerably low, taken into consideration that it is a rather recent method. For that reason the final judgement considering applicability of the method and the ways of applying it will only be possible after more extensive research on a larger number of examples and after making a GDV image data bases linked with diagnostics and subjected to really systematic scientific analysis of the link between the parameters of the GDV images and diagnoses. The practical part of the thesis is directed towards checking the influence of some of the fundamental factors that are present at the moment of taking the GDV image, to the parameters of the GDV image. The results of the practical part confirm the claims from the theoretical part that state that for achieving more precise results, the conditions for taking GDV image have to be customised to fit the object. The results also show that GDV method is sensitive to the changes in the surface of the object in question (finger skin) and that GDV method, as the scientific work described in the theoretical part shows, can be used to measure the concentrations of electrolytes in solutions.