Diagnostic Evaluation of Symptom Qualification using Serial and Parallel Diagnostics

Abstract

Diagnoses play a pivotal role in medical care. They consolidate information, enable clear communication, and serve as the basis for scientific research. The medical field is vast, with thousands of symptoms indicating various medical conditions. Additionally, the diagnostic process for infectious diseases is relatively clear and based on the identification of a certain set of symptoms. Symptoms with a common cause form a pattern that aids in the diagnosis. Retrospectively, in the medical school environment, replicating the success of treating infectious diseases in situations of metabolic disease cases has been attempted. However, the model for infectious diseases does not match that for metabolic diseases. Thus, we argue that, in addition to a serialpattern identification approach, using a parallel approach to symptom identification, even after the diagnosis has been made, should be considered. Herein, we distinguish between serial and parallel diagnostic methods, with the aim of enhancing the interface between regular and integrated medicine. The distinction in qualitative symptom evaluation between the different branches of medicine forms the basis of integrated medicine.