Gastric cancer clinical decision-making, teaching and scientific research auxiliary support system and method
A clinical decision-making and auxiliary support technology, applied in electronic clinical trials, computer-aided medical procedures, informatics, etc., can solve the problems of inability to assist clinical diagnosis and treatment, and achieve the effect of accurate clinical decision support
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Embodiment 1
[0057] In this embodiment, the gastric cancer clinical decision-making, teaching, and scientific research auxiliary support system includes a medical and pharmaceutical data storage unit, a diagnosis and treatment parameter storage unit, an information input unit, a comparison processor unit, a diagnosis and treatment result output unit, and an early warning and operation recording unit. refer to figure 1 , the specific functions of each constituent unit are as follows:
[0058] Medical and pharmaceutical data storage unit, including: medical and pharmaceutical database, standard clinical pathway and evidence base, real-world clinical pathway and evidence base. The information stored in the medical and pharmaceutical database includes, but is not limited to, medical and pharmaceutical materials of the western medicine system and the traditional Chinese medicine system, medical policy information, structured medical record information, patient out-of-hospital management informa...
Embodiment 2
[0072] Based on the system and method implemented in Embodiment 1, specifically refer to Table 1-2, wherein: Table 1 lists some parameters that affect the diagnosis and treatment of gastric cancer, and the parameter values corresponding to each parameter are coded corresponding to different parameter values after structured processing; Table 2 lists some of the clinical pathways of gastric cancer represented by parameter codes.
[0073] Table 1
[0074]
[0075] Table 2
[0076]
[0077] According to Table 1-2, the medical record information of a patient acquired by the information input unit at this time is "the newly diagnosed patient, 50 years old, has been diagnosed with gastric cancer in our hospital, the clinical stage is cT1a, and the patient's physical condition is not good", after identification and extraction The patient information parameter value obtained after natural language processing and rule processing is "initial treatment; diagnosed with gastric ...
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