Randomized Clinical Trial of the impact of Chest radiograph AI-assisted triage and report generation upon clinical outcomes and an economic analysis of impact of AI decision support on radiology service delivery.
Randomized, prospective selection of patients. Control group involves radiologists reporting chest radiographs as per reference standard clinical workflow Intervention group involves radiologists assisted with AI reporting an AI-triaged worklist of chest radiographs using an AI report generation tool Clinical outcomes on patients are studied at pre-determined study endpoints, including time to discharge from the hospital and re-admission rates. Economic analysis on cost-avoidance from man-hours saved from report generation and triage.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
10,000
Artificial intelligence triage and reporting system
Report generation time
Time for radiologist to produce each individual CXR report
Time frame: 12 months
Turnaround Time
Time from patient arrival at radiography department to time for clinical team to receive report
Time frame: 12 months
Time to discharge
Time from patient arrival at radiography department to time to discharge from hospital
Time frame: 12 months
30-day patient readmission rate
Rate of readmission of patient to hospital after discharge within 30 days
Time frame: 12 months
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