Real-world Effectiveness Evaluation of Clinical Decision Support System Based on Artificial Intelligence (AI-CDSS)

Accuracy Rate of Recommended Diagnosis by CDSS, up to 12 weeks

Based on the patient's discharge diagnosis as a standard, it is explored whether the diagnosis given by the CDSS is consistent with the discharge diagnosis in the patient's medical record.

Time frame: When the subject was discharged from the hospital

Patients' hospitalization time (days), up to 24 weeks

The length of a patient's stay is the number of days he or she experiences from the time of admission to the time of discharge.

Time frame: When the subject was discharged from the hospital

consistency between admission diagnosis and discharge diagnosis up to 12 weeks

When the patient comes to the hospital, the clinician will write an inpatient record and give a preliminary diagnosis, which we call admission diagnosis.After the patient is hospitalized, all kinds of examinations will be improved. After all the examination results come out, the patient's diagnosis on admission may be modified. Because there are no auxiliary examination results on admission, the diagnosis on admission may not be completely correct.This modified diagnosis is called discharge diagnosis.This study compared the consistent rate of admission diagnosis and discharge diagnosis before and after CDSS on-line.

Time frame: When the subject was discharged from the hospital