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

Completed

• Conditions: Medical Informatics Applications
• Interventions: Other: Auxiliary diagnostic system by AI-CDSS

• Registration Number: NCT05065931
• Lead Sponsor: Peking University Third Hospital

Brief Summary

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

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.

Study Timeline

• Study Start: 2019-03-01
• Primary Completion: 2019-05-01
• Study Completion: 2019-06-01
• Status Verified: 2019-07
• Study First Submitted: 2019-07-12
• Study First Submitted QC: 2021-09-23
• Last Update Submitted: 2021-09-23
• Study First Posted: 2021-10-04
• Last Update Posted: 2021-10-04

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 34113

Inclusion Criteria

• all hospitalized patients in 6 clinical departments, Otolaryngology, Orthopaedic, Respiratory Medicine, General Surgery, Cardiology and Hematology from December 2016 to February 2019.

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Exclusion Criteria

• Missing data for key variables

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
After	Auxiliary diagnostic system by AI-CDSS	after CDSS on-line

Primary Outcome Measures

Name	Time	Method
Patients' hospitalization time (days), up to 24 weeks	When the subject was discharged from the hospital	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.
Accuracy Rate of Recommended Diagnosis by CDSS, up to 12 weeks	When the subject was discharged from the hospital	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.
consistency between admission diagnosis and discharge diagnosis up to 12 weeks	When the subject was discharged from the hospital	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.

Secondary Outcome Measures

Name	Time	Method
length of confirmed time, up to 6 weeks	When the subject was discharged from the hospital	he length of confirmed time (days) was the duration between the preliminary admission diagnosis and the definite diagnosis.

Trial Locations

Locations (1)

Peking University Third Hospital; 🇨🇳 Beijing, China