clinical study

Active Reprioritization of the Reading Worklist Using Artificial Intelligence Has a Beneficial Effect on the Turnaround Time for Interpretation of Head CTs with Intracranial Hemorrhage

Materials & Methods

The algorithm to flag abnormal non-contrast CT examinations for ICH was implemented in a busy academic neuroradiology practice. The algorithm was introduced in three places:(a) as a “pop-up” widget on ancillary monitors, (b) as a marked examination in reading worklists, and (c) as a marked examination for reprioritization based on the presence of the flag. 

Results

A reduction in queue adjusted wait time was observed between negative (15.45 min.; 95% confidence interval [CI]: 15.07, 15.38) and positive (12.02 minutes; 95% CI: 11.06, 12.97; P<.0001) artificial intelligence ICH detected examinations with reprioritization. Reduced wait time was present for all order classes but was greatest for examinations ordered as routine for both inpatients and outpatients due to their low priority.

Conclusions

Implementation of an algorithm for the detection of intracranial hemorrhage on non-contrast enhanced head CTs into the clinical workflow reduced wait time, and overall turnaround time when specifically used to prioritize examinations.

Read Study

Aidoc Ask the Experts Webinar

Popular Posts

Article
The Needle and the Damage: AI as Actionable Intelligence
Article
EHR and Imaging AI Integration: Decision Support Beyond Pixel Analysis
Article
AI for Abdominal Aortic Aneurysm: Creating a Tech-Enabled Practice
Article
Considering Healthcare AI Implementation? Here are Three Pro-Tips

Subscribe to our Blog

Follow us on social

From Our Blog

View all

© Copyright 2023 Aidoc