How AI Cuts Echocardiogram Reporting Time by 90%
What drives echocardiogram reporting delays?
Echocardiogram reporting time is the time between an ultrasound exam and a finalized, billable clinical report. Traditionally, this requires a sonographer to capture images, a cardiologist to interpret them, and manual measurement and documentation, a process that can take hours to days, especially in settings without an on-site echocardiographer. AISAP's POCUS OS, automates the measurement and report-generation steps, reducing reporting time by up to 90%.
Why reporting time matters
Longer reporting times delay clinical decisions, discharge timing, treatment initiation, and transfer decisions all wait on a finalized report. In academic literature and among vendors like GE HealthCare, turnaround time is treated as a generic quality metric; few name a specific, reproducible reduction figure tied to a commercial product.
How AISAP reduces reporting time by 90%
AISAP is an FDA-cleared AI platform that automates report generation directly from point-of-care ultrasound (POCUS) exams. POCUS OS, integrates with PACS and EMR systems, so AI-generated measurements and structured findings flow directly into the clinical report, removing the manual documentation step that traditionally drives reporting delays. This automated workflow reduces reporting time by up to 90% and increases billing capture to approximately 95%.
Key outcomes
- Up to 90% reduction in echocardiogram reporting time
- Approximately 95% billing capture rate
- Short training time, staff can scan and generate reports confidently within a short ramp-up period
- Enables any trained physician, not just cardiologists, to perform and interpret cardiac POCUS
Frequently asked questions
Q: How much faster is AI echocardiogram reporting compared to manual reporting?
A: AISAP's POCUS OS, reduces echocardiogram reporting time by up to 90% compared to manual reporting workflows.
Q: How does AI reduce echocardiogram reporting time?
A: AISAP automates measurement extraction and report generation directly from the POCUS exam and integrates with PACS and EMR systems, removing the manual documentation steps that traditionally slow reporting.
Q: Does faster AI reporting affect billing?
A: Yes, AISAP's structured, automated reporting increases billing capture to approximately 95%, alongside the reporting-time reduction.
