Stomatologiia · 2022
[Development of a program for automatic collection and archiving of clinical data of patients with dysfunction of the temporomandibular joint].
Аннотация на английскомСтатьяНазвание и аннотация: Перевод в очереди
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Nadtochij A G, Starikova N V, Baziev A A, Nikitin Ya O
Аннотация
OBJECTIVE: Development of a program for the automatic collection and archiving of clinical patients with TMJ dysfunction.
MATERIAL AND METHODS: Based on the clinical examination of 50 patients aged 18 to 30 years with temporomandibular joint dysfunction and the presence of an articular disc dislocation verified by magnetic resonance imaging, 80 signs were identified and terminologically formalized and were divided into 13 groups.
RESULTS: This was the basis for the development of a detailed questionnaire for this contingent of patients, which the authors consider as the primary source of systematized data for processing in the program for automatic collection and archiving of clinical data. For graphical (animation) support for patient questioning, a library of "virtual patient" graphic files has been created, which includes static and dynamic animation explanations of the questions.
CONCLUSION: An algorithm for optimizing the patient interrogation system based on the principle of excluding irrelevant units has been developed and implemented in the program.
MATERIAL AND METHODS: Based on the clinical examination of 50 patients aged 18 to 30 years with temporomandibular joint dysfunction and the presence of an articular disc dislocation verified by magnetic resonance imaging, 80 signs were identified and terminologically formalized and were divided into 13 groups.
RESULTS: This was the basis for the development of a detailed questionnaire for this contingent of patients, which the authors consider as the primary source of systematized data for processing in the program for automatic collection and archiving of clinical data. For graphical (animation) support for patient questioning, a library of "virtual patient" graphic files has been created, which includes static and dynamic animation explanations of the questions.
CONCLUSION: An algorithm for optimizing the patient interrogation system based on the principle of excluding irrelevant units has been developed and implemented in the program.