Real-world Effectiveness Evaluation of Clinical Decision Support System Based on Artificial Intelligence (AI-CDSS)
Real-world Effectiveness Evaluation of Clinical Decision Support System Based on Artificial Intelligence (AI-CDSS) on Diagnosis
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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-
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Beijing, China
- Peking University Third Hospital
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
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
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Before
before CDSS on-line
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After
after CDSS on-line
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Helping clinicians to make diagnoses by using CDSS based-on AI
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Accuracy Rate of Recommended Diagnosis by CDSS, up to 12 weeks
Time Frame: When the subject was discharged from the hospital
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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.
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When the subject was discharged from the hospital
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Patients' hospitalization time (days), up to 24 weeks
Time Frame: When the subject was discharged from the hospital
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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.
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When the subject was discharged from the hospital
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consistency between admission diagnosis and discharge diagnosis up to 12 weeks
Time Frame: When the subject was discharged from the hospital
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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.
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When the subject was discharged from the hospital
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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length of confirmed time, up to 6 weeks
Time Frame: When the subject was discharged from the hospital
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he length of confirmed time (days) was the duration between the preliminary admission diagnosis and the definite diagnosis.
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When the subject was discharged from the hospital
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Hong Qi, Ph.D, Peking University Third Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 324-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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