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This study intends to explore the accuracy of clinical diagnosis of AI based CDSS system and promotion of clinical work by comparing CDSS before and after the online.
This study intends to explore the accuracy of clinical diagnosis of AI based CDSS system and promotion of clinical work by comparing CDSS before and after the online. The difference of diagnostic accuracy before and after AI-CDSS application will be compared by the before and after design, and the role of AI-CDSS will be explored.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Before | before CDSS on-line | ||
| After | after CDSS on-line |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Auxiliary diagnostic system by AI-CDSS | Other | Helping clinicians to make diagnoses by using CDSS based-on AI |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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. | 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. | 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. | When the subject was discharged from the hospital |
| Measure | Description | Time Frame |
|---|---|---|
| length of confirmed time, up to 6 weeks | he length of confirmed time (days) was the duration between the preliminary admission diagnosis and the definite diagnosis. | When the subject was discharged from the hospital |
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Inclusion Criteria:
Exclusion Criteria:
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Study population was the hospitalized patient from December 2016 to February 2019 in 6 clinical departments. The six clinical departments were Otolaryngology, Orthopaedic, Respiratory Medicine, General Surgery, Cardiology and Hematology.
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| Name | Affiliation | Role |
|---|---|---|
| Hong Qi, Ph.D | Peking University Third Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Peking University Third Hospital | Beijing | China |
After the results of the study are published for one year, the data can be published to other researchers. But the data needs to be de-identified to protect the patient's privacy.
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