It supports doctors in searching the customized medical knowledge base, which includes disease knowledge, examination and inspection knowledge, evaluation form (scale), drug knowledge, guidelines, textbooks, traditional Chinese medicine, patient guidance, clinical pathway, and cases. In the links of machine-assisted Clinical Decision Support and treatment and doctor’s advice quality control, the medical knowledge base automatically matches contents to help doctors quickly obtain relevant medical knowledge.

It realizes smart assisting diagnosis according to the patient's medical record information (chief complaint, past medical history, history of present illness, personal history, allergy history, physical examination, etc.) and various doctor’s advice data (examination and inspection, etc.). The main capabilities include: Common diagnosis recommendation (including critical), examination and inspection recommendation, treatment plan recommendation, evaluation table (scale) recommendation, examination, and inspection recommendation, etc.

When the doctor fills in the doctor's advice, it checks the rationality of medication, examination, inspection, operation, and diagnosis results and gives reasons for irrationality to reduce the risk of misdiagnosis.

According to the patient's medical record information (chief complaint, history of present illness, past medical history, physical examination, diagnosis, etc.), surgical information, examination, inspection information, and various documents and data in the hospital (course record, ward round record, operation record), it smartly analyzes and judges smart critical illness, drug use taboo, absolute surgery taboo, absolute diagnosis taboo, absolute examination taboo, absolute inspection taboo, alerts emergency messages in the form of special warnings to attract doctors' real-time attention and ensure the effective transmission of emergency messages.

According to the patient's medical record information (chief complaint, history of present illness, past medical history, physical examination, diagnosis, etc.), surgical information, examination and inspection information, and various documents and data in the hospital (course record, ward round record, operation record), it will smartly prompt the complex diseases/complications, possible missed information and diagnosis from specific documents, and automatically identify whether it is a valid MCC/CC based on DRG rules when the doctor fills in the discharge summary.