Table A2.
To What Extent Do You Think Artificial Intelligence Can or Will Impact the Following Steps of Standard Radiology Workflow? | ||||||
---|---|---|---|---|---|---|
1 ○ No impact 2 ○ Small impact 3 ○ Moderate impact 4 ○ Large impact 5 ○ Drastic impact | ||||||
01 | Enhance clinical decision for imaging exam ordering by analyzing patient’s EMR | 1 ○ | 2 ○ | 3 ○ | 4 ○ | 5 ○ |
02 | Optimize scheduling for patients and resources | 1 ○ | 2 ○ | 3 ○ | 4 ○ | 5 ○ |
03 | Enable automated protocol selection | 1 ○ | 2 ○ | 3 ○ | 4 ○ | 5 ○ |
04 | Enhance image acquisition by improving image quality with less time and radiation | 1 ○ | 2 ○ | 3 ○ | 4 ○ | 5 ○ |
05 | Enable automated finding detection | 1 ○ | 2 ○ | 3 ○ | 4 ○ | 5 ○ |
06 | Enable automated diagnosis generation and differential diagnosis augmentation | 1 ○ | 2 ○ | 3 ○ | 4 ○ | 5 ○ |
07 | Expedite abnormal image interpretation | 1 ○ | 2 ○ | 3 ○ | 4 ○ | 5 ○ |
08 | Enhance structured reporting | 1 ○ | 2 ○ | 3 ○ | 4 ○ | 5 ○ |
09 | Enhance communication of findings and guidance through EMR | 1 ○ | 2 ○ | 3 ○ | 4 ○ | 5 ○ |
10 | Optimize billing | 1 ○ | 2 ○ | 3 ○ | 4 ○ | 5 ○ |
EMR: electronic medical record.