Evidence Passport
Real-world AI-assisted PERT workflow and its association with care processes and budget impact
Top story 2 in the issue of 24 October 2026, in 04 AI Healthcare.
Original source
Real-world AI-assisted PERT workflow and its association with care processes and budget impact
In a before-and-after study of 424 patients with pulmonary embolism, AI flagging on CT raised response-team activation from 9.2% to 84.5% and halved the time to interventional therapy.
Evidence
Evidence: Peer-reviewed (evidence step 5 of 6)
Published after review by independent experts.
The story in three lines
- Key finding
- AI triage raised PERT activation from 9.2% to 84.5%, cut CT-to-diagnosis time from 2.1 to 1.3 hours and halved time to intervention.
- Significance
- Clinical: links an AI tool to faster escalation in a time-critical cardiovascular emergency, with modelled cost savings.
- Takeaway
- Single-centre and retrospective; length of stay and 30-day mortality fell but not significantly.
Study details (as stated by the source)
- Study design
- Retrospective before-and-after cohort, one university hospital
- Sample size
- 424 patients
- Outcomes
- PERT activation, time to diagnosis and therapy, costs
Later coverage in the journal
No later coverage in the journal yet.
Corrections and updates
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