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

Study Overview
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Brief Summary
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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.

Detailed Description
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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. 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.

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

Conditions
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Medical Informatics Applications

Intervention / Treatment
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* Other: Auxiliary diagnostic system by AI-CDSS


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: all hospitalized patients in 6 clinical departments, Otolaryngology, Orthopaedic, Respiratory Medicine, General Surgery, Cardiology and Hematology from December 2016 to February 2019. Exclusion Criteria: Missing data for key variables
Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Before<br>before CDSS on-line | |
| After<br>after CDSS on-line | Other: Auxiliary diagnostic system by AI-CDSS<br>* Helping clinicians to make diagnoses by using CDSS based-on AI<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | 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 | 

Secondary Outcome Measures

| Outcome Measure | 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 |